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Tegra - Wikipedia

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class="cdx-button cdx-button--weight-quiet cdx-button--icon-only vector-toc-toggle"> <span class="vector-icon mw-ui-icon-wikimedia-expand"></span> <span>Toggle Models subsection</span> </button> <ul id="toc-Models-sublist" class="vector-toc-list"> <li id="toc-Tegra_APX" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_APX"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.1</span> <span>Tegra APX</span> </div> </a> <ul id="toc-Tegra_APX-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Tegra_6xx" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_6xx"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.2</span> <span>Tegra 6xx</span> </div> </a> <ul id="toc-Tegra_6xx-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Tegra_2" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_2"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.3</span> <span>Tegra 2</span> </div> </a> <ul id="toc-Tegra_2-sublist" class="vector-toc-list"> <li id="toc-Devices" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.3.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Tegra_3" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_3"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.4</span> <span>Tegra 3</span> </div> </a> <ul id="toc-Tegra_3-sublist" class="vector-toc-list"> <li id="toc-Devices_2" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_2"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.4.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_2-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Tegra_4" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_4"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.5</span> <span>Tegra 4</span> </div> </a> <ul id="toc-Tegra_4-sublist" class="vector-toc-list"> <li id="toc-Devices_3" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_3"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.5.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_3-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Tegra_4i" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Tegra_4i"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.5.2</span> <span>Tegra 4i</span> </div> </a> <ul id="toc-Tegra_4i-sublist" class="vector-toc-list"> <li id="toc-Devices_4" class="vector-toc-list-item vector-toc-level-4"> <a class="vector-toc-link" href="#Devices_4"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.5.2.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_4-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> </ul> </li> <li id="toc-Tegra_K1" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_K1"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.6</span> <span>Tegra K1</span> </div> </a> <ul id="toc-Tegra_K1-sublist" class="vector-toc-list"> <li id="toc-Devices_5" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_5"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.6.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_5-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Tegra_X1" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_X1"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.7</span> <span>Tegra X1</span> </div> </a> <ul id="toc-Tegra_X1-sublist" class="vector-toc-list"> <li id="toc-Devices_6" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_6"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.7.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_6-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Tegra_X2" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Tegra_X2"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.8</span> <span>Tegra X2</span> </div> </a> <ul id="toc-Tegra_X2-sublist" class="vector-toc-list"> <li id="toc-Devices_7" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_7"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.8.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_7-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Xavier" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Xavier"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.9</span> <span>Xavier</span> </div> </a> <ul id="toc-Xavier-sublist" class="vector-toc-list"> <li id="toc-Devices_8" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_8"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.9.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_8-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Orin" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Orin"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.10</span> <span>Orin</span> </div> </a> <ul id="toc-Orin-sublist" class="vector-toc-list"> <li id="toc-Devices_9" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_9"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.10.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_9-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Grace" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Grace"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.11</span> <span>Grace</span> </div> </a> <ul id="toc-Grace-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Atlan" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Atlan"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.12</span> <span>Atlan</span> </div> </a> <ul id="toc-Atlan-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Thor" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Thor"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.13</span> <span>Thor</span> </div> </a> <ul id="toc-Thor-sublist" class="vector-toc-list"> <li id="toc-Devices_10" class="vector-toc-list-item vector-toc-level-3"> <a class="vector-toc-link" href="#Devices_10"> <div class="vector-toc-text"> <span class="vector-toc-numb">2.13.1</span> <span>Devices</span> </div> </a> <ul id="toc-Devices_10-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> </ul> </li> <li id="toc-Comparison" class="vector-toc-list-item vector-toc-level-1"> <a class="vector-toc-link" href="#Comparison"> <div class="vector-toc-text"> <span class="vector-toc-numb">3</span> <span>Comparison</span> </div> </a> <ul id="toc-Comparison-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Software_support" class="vector-toc-list-item vector-toc-level-1"> <a class="vector-toc-link" href="#Software_support"> <div class="vector-toc-text"> <span class="vector-toc-numb">4</span> <span>Software support</span> </div> </a> <button aria-controls="toc-Software_support-sublist" class="cdx-button cdx-button--weight-quiet cdx-button--icon-only vector-toc-toggle"> <span class="vector-icon mw-ui-icon-wikimedia-expand"></span> <span>Toggle Software support subsection</span> </button> <ul id="toc-Software_support-sublist" class="vector-toc-list"> <li id="toc-FreeBSD" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#FreeBSD"> <div class="vector-toc-text"> <span class="vector-toc-numb">4.1</span> <span>FreeBSD</span> </div> </a> <ul id="toc-FreeBSD-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Linux" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Linux"> <div class="vector-toc-text"> <span class="vector-toc-numb">4.2</span> <span>Linux</span> </div> </a> <ul id="toc-Linux-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-QNX" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#QNX"> <div class="vector-toc-text"> <span class="vector-toc-numb">4.3</span> <span>QNX</span> </div> </a> <ul id="toc-QNX-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Similar_platforms" class="vector-toc-list-item vector-toc-level-1"> <a class="vector-toc-link" href="#Similar_platforms"> <div class="vector-toc-text"> <span class="vector-toc-numb">5</span> <span>Similar platforms</span> </div> </a> <ul id="toc-Similar_platforms-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-See_also" class="vector-toc-list-item vector-toc-level-1"> <a class="vector-toc-link" href="#See_also"> <div class="vector-toc-text"> <span class="vector-toc-numb">6</span> <span>See also</span> </div> </a> <ul id="toc-See_also-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-References" class="vector-toc-list-item vector-toc-level-1"> <a class="vector-toc-link" href="#References"> <div class="vector-toc-text"> <span class="vector-toc-numb">7</span> <span>References</span> </div> </a> <ul id="toc-References-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-External_links" class="vector-toc-list-item vector-toc-level-1"> <a class="vector-toc-link" href="#External_links"> <div class="vector-toc-text"> <span class="vector-toc-numb">8</span> <span>External links</span> </div> </a> <ul id="toc-External_links-sublist" class="vector-toc-list"> </ul> </li> </ul> </div> </div> </nav> </div> </div> <div class="mw-content-container"> <main id="content" class="mw-body"> <header class="mw-body-header vector-page-titlebar"> <nav aria-label="Contents" class="vector-toc-landmark"> <div id="vector-page-titlebar-toc" class="vector-dropdown vector-page-titlebar-toc vector-button-flush-left" > <input type="checkbox" id="vector-page-titlebar-toc-checkbox" role="button" aria-haspopup="true" data-event-name="ui.dropdown-vector-page-titlebar-toc" class="vector-dropdown-checkbox " aria-label="Toggle the table of contents" > <label id="vector-page-titlebar-toc-label" for="vector-page-titlebar-toc-checkbox" class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--icon-only " aria-hidden="true" ><span class="vector-icon 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Available in 24 languages" > <label id="p-lang-btn-label" for="p-lang-btn-checkbox" class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--action-progressive mw-portlet-lang-heading-24" aria-hidden="true" ><span class="vector-icon mw-ui-icon-language-progressive mw-ui-icon-wikimedia-language-progressive"></span> <span class="vector-dropdown-label-text">24 languages</span> </label> <div class="vector-dropdown-content"> <div class="vector-menu-content"> <ul class="vector-menu-content-list"> <li class="interlanguage-link interwiki-ar mw-list-item"><a href="https://ar.wikipedia.org/wiki/%D8%AA%D9%8A%D8%AC%D8%B1%D8%A7" title="تيجرا – Arabic" lang="ar" hreflang="ar" data-title="تيجرا" data-language-autonym="العربية" data-language-local-name="Arabic" class="interlanguage-link-target"><span>العربية</span></a></li><li class="interlanguage-link interwiki-bg mw-list-item"><a href="https://bg.wikipedia.org/wiki/%D0%A2%D0%B5%D0%B3%D1%80%D0%B0" title="Тегра – Bulgarian" lang="bg" hreflang="bg" data-title="Тегра" data-language-autonym="Български" data-language-local-name="Bulgarian" class="interlanguage-link-target"><span>Български</span></a></li><li class="interlanguage-link interwiki-ca mw-list-item"><a href="https://ca.wikipedia.org/wiki/Tegra_Nvidia" title="Tegra Nvidia – Catalan" lang="ca" hreflang="ca" data-title="Tegra Nvidia" data-language-autonym="Català" data-language-local-name="Catalan" class="interlanguage-link-target"><span>Català</span></a></li><li class="interlanguage-link interwiki-cs mw-list-item"><a href="https://cs.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Czech" lang="cs" hreflang="cs" data-title="Nvidia Tegra" data-language-autonym="Čeština" data-language-local-name="Czech" class="interlanguage-link-target"><span>Čeština</span></a></li><li class="interlanguage-link interwiki-de mw-list-item"><a href="https://de.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – German" lang="de" hreflang="de" data-title="Nvidia Tegra" data-language-autonym="Deutsch" data-language-local-name="German" class="interlanguage-link-target"><span>Deutsch</span></a></li><li class="interlanguage-link interwiki-et mw-list-item"><a href="https://et.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Estonian" lang="et" hreflang="et" data-title="Nvidia Tegra" data-language-autonym="Eesti" data-language-local-name="Estonian" class="interlanguage-link-target"><span>Eesti</span></a></li><li class="interlanguage-link interwiki-es mw-list-item"><a href="https://es.wikipedia.org/wiki/Tegra" title="Tegra – Spanish" lang="es" hreflang="es" data-title="Tegra" data-language-autonym="Español" data-language-local-name="Spanish" class="interlanguage-link-target"><span>Español</span></a></li><li class="interlanguage-link interwiki-fa mw-list-item"><a href="https://fa.wikipedia.org/wiki/%D8%AA%DA%AF%D8%B1%D8%A7" title="تگرا – Persian" lang="fa" hreflang="fa" data-title="تگرا" data-language-autonym="فارسی" data-language-local-name="Persian" class="interlanguage-link-target"><span>فارسی</span></a></li><li class="interlanguage-link interwiki-fr mw-list-item"><a href="https://fr.wikipedia.org/wiki/Tegra" title="Tegra – French" lang="fr" hreflang="fr" data-title="Tegra" data-language-autonym="Français" data-language-local-name="French" class="interlanguage-link-target"><span>Français</span></a></li><li class="interlanguage-link interwiki-ko mw-list-item"><a href="https://ko.wikipedia.org/wiki/%EC%97%94%EB%B9%84%EB%94%94%EC%95%84_%ED%85%8C%EA%B7%B8%EB%9D%BC" title="엔비디아 테그라 – Korean" lang="ko" hreflang="ko" data-title="엔비디아 테그라" data-language-autonym="한국어" data-language-local-name="Korean" class="interlanguage-link-target"><span>한국어</span></a></li><li class="interlanguage-link interwiki-it mw-list-item"><a href="https://it.wikipedia.org/wiki/Tegra" title="Tegra – Italian" lang="it" hreflang="it" data-title="Tegra" data-language-autonym="Italiano" data-language-local-name="Italian" class="interlanguage-link-target"><span>Italiano</span></a></li><li class="interlanguage-link interwiki-he mw-list-item"><a href="https://he.wikipedia.org/wiki/%D7%98%D7%92%D7%A8%D7%94" title="טגרה – Hebrew" lang="he" hreflang="he" data-title="טגרה" data-language-autonym="עברית" data-language-local-name="Hebrew" class="interlanguage-link-target"><span>עברית</span></a></li><li class="interlanguage-link interwiki-hu mw-list-item"><a href="https://hu.wikipedia.org/wiki/Tegra" title="Tegra – Hungarian" lang="hu" hreflang="hu" data-title="Tegra" data-language-autonym="Magyar" data-language-local-name="Hungarian" class="interlanguage-link-target"><span>Magyar</span></a></li><li class="interlanguage-link interwiki-nl mw-list-item"><a href="https://nl.wikipedia.org/wiki/Tegra_(SoC)" title="Tegra (SoC) – Dutch" lang="nl" hreflang="nl" data-title="Tegra (SoC)" data-language-autonym="Nederlands" data-language-local-name="Dutch" class="interlanguage-link-target"><span>Nederlands</span></a></li><li class="interlanguage-link interwiki-ja mw-list-item"><a href="https://ja.wikipedia.org/wiki/NVIDIA_Tegra" title="NVIDIA Tegra – Japanese" lang="ja" hreflang="ja" data-title="NVIDIA Tegra" data-language-autonym="日本語" data-language-local-name="Japanese" class="interlanguage-link-target"><span>日本語</span></a></li><li class="interlanguage-link interwiki-no mw-list-item"><a href="https://no.wikipedia.org/wiki/Tegra" title="Tegra – Norwegian Bokmål" lang="nb" hreflang="nb" data-title="Tegra" data-language-autonym="Norsk bokmål" data-language-local-name="Norwegian Bokmål" class="interlanguage-link-target"><span>Norsk bokmål</span></a></li><li class="interlanguage-link interwiki-pl mw-list-item"><a href="https://pl.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Polish" lang="pl" hreflang="pl" data-title="Nvidia Tegra" data-language-autonym="Polski" data-language-local-name="Polish" class="interlanguage-link-target"><span>Polski</span></a></li><li class="interlanguage-link interwiki-pt mw-list-item"><a href="https://pt.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Portuguese" lang="pt" hreflang="pt" data-title="Nvidia Tegra" data-language-autonym="Português" data-language-local-name="Portuguese" class="interlanguage-link-target"><span>Português</span></a></li><li class="interlanguage-link interwiki-ru mw-list-item"><a href="https://ru.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Russian" lang="ru" hreflang="ru" data-title="Nvidia Tegra" data-language-autonym="Русский" data-language-local-name="Russian" class="interlanguage-link-target"><span>Русский</span></a></li><li class="interlanguage-link interwiki-sk mw-list-item"><a href="https://sk.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Slovak" lang="sk" hreflang="sk" data-title="Nvidia Tegra" data-language-autonym="Slovenčina" data-language-local-name="Slovak" class="interlanguage-link-target"><span>Slovenčina</span></a></li><li class="interlanguage-link interwiki-fi mw-list-item"><a href="https://fi.wikipedia.org/wiki/Tegra" title="Tegra – Finnish" lang="fi" hreflang="fi" data-title="Tegra" data-language-autonym="Suomi" data-language-local-name="Finnish" class="interlanguage-link-target"><span>Suomi</span></a></li><li class="interlanguage-link interwiki-tr mw-list-item"><a href="https://tr.wikipedia.org/wiki/Tegra" title="Tegra – Turkish" lang="tr" hreflang="tr" data-title="Tegra" data-language-autonym="Türkçe" data-language-local-name="Turkish" class="interlanguage-link-target"><span>Türkçe</span></a></li><li class="interlanguage-link interwiki-uk mw-list-item"><a href="https://uk.wikipedia.org/wiki/Nvidia_Tegra" title="Nvidia Tegra – Ukrainian" lang="uk" hreflang="uk" data-title="Nvidia Tegra" data-language-autonym="Українська" data-language-local-name="Ukrainian" class="interlanguage-link-target"><span>Українська</span></a></li><li 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class="vector-body" aria-labelledby="firstHeading" data-mw-ve-target-container> <div class="vector-body-before-content"> <div class="mw-indicators"> </div> <div id="siteSub" class="noprint">From Wikipedia, the free encyclopedia</div> </div> <div id="contentSub"><div id="mw-content-subtitle"></div></div> <div id="mw-content-text" class="mw-body-content"><div class="mw-content-ltr mw-parser-output" lang="en" dir="ltr"><div class="shortdescription nomobile noexcerpt noprint searchaux" style="display:none">System on a chip by Nvidia</div> <style data-mw-deduplicate="TemplateStyles:r1236090951">.mw-parser-output .hatnote{font-style:italic}.mw-parser-output div.hatnote{padding-left:1.6em;margin-bottom:0.5em}.mw-parser-output .hatnote i{font-style:normal}.mw-parser-output .hatnote+link+.hatnote{margin-top:-0.5em}@media print{body.ns-0 .mw-parser-output .hatnote{display:none!important}}</style><div role="note" class="hatnote navigation-not-searchable">For the genus of <a href="/wiki/Pseudophyllinae" title="Pseudophyllinae">bush cricket</a>, see <a href="/wiki/Tegra_(katydid)" title="Tegra (katydid)">Tegra (katydid)</a>.</div> <p class="mw-empty-elt"> </p> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:NVIDIA_T20_and_T30_chips.jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/3/36/NVIDIA_T20_and_T30_chips.jpg/350px-NVIDIA_T20_and_T30_chips.jpg" decoding="async" width="350" height="197" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/3/36/NVIDIA_T20_and_T30_chips.jpg/525px-NVIDIA_T20_and_T30_chips.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/3/36/NVIDIA_T20_and_T30_chips.jpg/700px-NVIDIA_T20_and_T30_chips.jpg 2x" data-file-width="2400" data-file-height="1351" /></a><figcaption>Nvidia Tegra T20 (Tegra 2) and T30 (Tegra 3) chips</figcaption></figure> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:NVIDIA@20nm@TegraX1@Erista@Shield_TV@S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_(32803128780).jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/0/04/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29.jpg/350px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29.jpg" decoding="async" width="350" height="233" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/0/04/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29.jpg/525px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/0/04/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29.jpg/700px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29.jpg 2x" data-file-width="6000" data-file-height="4000" /></a><figcaption>A Tegra X1 inside a Shield TV</figcaption></figure> <p><b>Tegra</b> is a <a href="/wiki/System_on_a_chip" title="System on a chip">system on a chip</a> (SoC) series developed by <a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> for mobile devices such as <a href="/wiki/Smartphone" title="Smartphone">smartphones</a>, <a href="/wiki/Personal_digital_assistant" title="Personal digital assistant">personal digital assistants</a>, and <a href="/wiki/Mobile_Internet_device" title="Mobile Internet device">mobile Internet devices</a>. The Tegra integrates an <a href="/wiki/ARM_architecture" class="mw-redirect" title="ARM architecture">ARM architecture</a> <a href="/wiki/Central_processing_unit" title="Central processing unit">central processing unit</a> (CPU), <a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">graphics processing unit</a> (GPU), <a href="/wiki/Northbridge_(computing)" title="Northbridge (computing)">northbridge</a>, <a href="/wiki/Southbridge_(computing)" title="Southbridge (computing)">southbridge</a>, and <a href="/wiki/Memory_controller" title="Memory controller">memory controller</a> onto one package. Early Tegra SoCs are designed as efficient multimedia processors. The Tegra-line evolved to emphasize performance for gaming and <a href="/wiki/Machine_learning" title="Machine learning">machine learning</a> applications without sacrificing power efficiency, before taking a drastic shift in direction towards platforms that provide <a href="/wiki/Vehicular_automation" title="Vehicular automation">vehicular automation</a> with the applied "<b><a href="/wiki/Nvidia_Drive" title="Nvidia Drive">Nvidia Drive</a></b>" brand name on reference boards and its semiconductors; and with the "<b><a href="/wiki/Nvidia_Jetson" title="Nvidia Jetson">Nvidia Jetson</a></b>" brand name for boards adequate for <a href="/wiki/AI_applications" class="mw-redirect" title="AI applications">AI applications</a> within e.g. robots or drones, and for various smart high level automation purposes. </p> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="History">History</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=1" title="Edit section: History"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The Tegra <a href="/w/index.php?title=APX_2500&amp;action=edit&amp;redlink=1" class="new" title="APX 2500 (page does not exist)">APX 2500</a> was announced on February 12, 2008. The Tegra 6xx product line was revealed on June 2, 2008,<sup id="cite_ref-1" class="reference"><a href="#cite_note-1"><span class="cite-bracket">&#91;</span>1<span class="cite-bracket">&#93;</span></a></sup> and the APX 2600 was announced in February 2009. The APX chips were designed for smartphones, while the Tegra 600 and 650 chips were intended for <a href="/wiki/Smartbook" title="Smartbook">smartbooks</a> and <a href="/wiki/Mobile_Internet_device" title="Mobile Internet device">mobile Internet devices</a> (MID).<sup id="cite_ref-2" class="reference"><a href="#cite_note-2"><span class="cite-bracket">&#91;</span>2<span class="cite-bracket">&#93;</span></a></sup> </p><p>The first product to use the Tegra was <a href="/wiki/Microsoft" title="Microsoft">Microsoft</a>'s <a href="/wiki/Zune_HD" title="Zune HD">Zune HD</a> media player in September 2009, followed by the <a href="/wiki/Samsung" title="Samsung">Samsung</a> M1.<sup id="cite_ref-3" class="reference"><a href="#cite_note-3"><span class="cite-bracket">&#91;</span>3<span class="cite-bracket">&#93;</span></a></sup> Microsoft's <a href="/wiki/Microsoft_Kin" title="Microsoft Kin">Kin</a> was the first cellular phone to use the Tegra;<sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">&#91;</span>4<span class="cite-bracket">&#93;</span></a></sup> however, the phone did not have an app store, so the Tegra's power did not provide much advantage. In September 2008, Nvidia and <a href="/wiki/Opera_Software" class="mw-redirect" title="Opera Software">Opera Software</a> announced that they would produce a version of the <a href="/wiki/Opera_(web_browser)" title="Opera (web browser)">Opera 9.5</a> browser optimized for the Tegra on <a href="/wiki/Windows_Mobile" title="Windows Mobile">Windows Mobile</a> and <a href="/wiki/Windows_CE" class="mw-redirect" title="Windows CE">Windows CE</a>.<sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">&#91;</span>5<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">&#91;</span>6<span class="cite-bracket">&#93;</span></a></sup> At <a href="/wiki/Mobile_World_Congress" title="Mobile World Congress">Mobile World Congress</a> 2009, Nvidia introduced its port of <a href="/wiki/Google" title="Google">Google</a>'s <a href="/wiki/Android_(operating_system)" title="Android (operating system)">Android</a> to the Tegra. </p><p>On January 7, 2010, Nvidia officially announced and demonstrated its next generation Tegra system-on-a-chip, the Nvidia Tegra 250, at <a href="/wiki/CES_2010" class="mw-redirect" title="CES 2010">Consumer Electronics Show 2010</a>.<sup id="cite_ref-7" class="reference"><a href="#cite_note-7"><span class="cite-bracket">&#91;</span>7<span class="cite-bracket">&#93;</span></a></sup> Nvidia primarily supports Android on Tegra 2, but booting other ARM-supporting operating systems is possible on devices where the <a href="/wiki/Booting" title="Booting">bootloader</a> is accessible. Tegra 2 support for the <a href="/wiki/Ubuntu_(operating_system)" class="mw-redirect" title="Ubuntu (operating system)">Ubuntu</a> Linux distribution was also announced on the Nvidia developer forum.<sup id="cite_ref-8" class="reference"><a href="#cite_note-8"><span class="cite-bracket">&#91;</span>8<span class="cite-bracket">&#93;</span></a></sup> </p><p>Nvidia announced the first <a href="/wiki/Multi-core_processor" title="Multi-core processor">quad-core</a> SoC at the February 2011 <a href="/wiki/Mobile_World_Congress" title="Mobile World Congress">Mobile World Congress</a> event in Barcelona. Though the chip was codenamed Kal-El, it is now branded as Tegra 3. Early benchmark results show impressive gains over Tegra 2,<sup id="cite_ref-9" class="reference"><a href="#cite_note-9"><span class="cite-bracket">&#91;</span>9<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-10" class="reference"><a href="#cite_note-10"><span class="cite-bracket">&#91;</span>10<span class="cite-bracket">&#93;</span></a></sup> and the chip was used in many of the tablets released in the second half of 2011. </p><p>In January 2012, <a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> announced that <a href="/wiki/Audi" title="Audi">Audi</a> had selected the Tegra 3 processor for its <a href="/wiki/In-car_entertainment" title="In-car entertainment">In-Vehicle Infotainment</a> systems and digital instruments display.<sup id="cite_ref-11" class="reference"><a href="#cite_note-11"><span class="cite-bracket">&#91;</span>11<span class="cite-bracket">&#93;</span></a></sup> The processor will be integrated into <a href="/wiki/Audi" title="Audi">Audi</a>'s entire line of vehicles worldwide, beginning in 2013. The process is <a href="/wiki/ISO_26262" title="ISO 26262">ISO 26262</a>-certified.<sup id="cite_ref-12" class="reference"><a href="#cite_note-12"><span class="cite-bracket">&#91;</span>12<span class="cite-bracket">&#93;</span></a></sup> </p><p>In summer of 2012 <a href="/wiki/Tesla_Motors" class="mw-redirect" title="Tesla Motors">Tesla Motors</a> began shipping the <a href="/wiki/Tesla_Model_S" title="Tesla Model S">Model S</a> all electric, high performance <a href="/wiki/Sedan_(automobile)" title="Sedan (automobile)">sedan</a>, which contains two NVIDIA Tegra 3D Visual Computing Modules (VCM). One VCM powers the 17-inch <a href="/wiki/Touchscreen" title="Touchscreen">touchscreen</a> infotainment system, and one drives the 12.3-inch all <a href="/wiki/Digital_instrument_cluster" class="mw-redirect" title="Digital instrument cluster">digital instrument cluster</a>."<sup id="cite_ref-13" class="reference"><a href="#cite_note-13"><span class="cite-bracket">&#91;</span>13<span class="cite-bracket">&#93;</span></a></sup> </p><p>In March 2015, Nvidia announced the Tegra X1, the first SoC to have a graphics performance of 1 teraflop. At the announcement event, Nvidia showed off <a href="/wiki/Epic_Games" title="Epic Games">Epic Games'</a> <a href="/wiki/Unreal_Engine" title="Unreal Engine">Unreal Engine</a> 4 "Elemental" demo, running on a Tegra X1. </p><p>On October 20, 2016, Nvidia announced that the <a href="/wiki/Nintendo_Switch" title="Nintendo Switch">Nintendo Switch</a> hybrid video game console will be powered by Tegra hardware.<sup id="cite_ref-14" class="reference"><a href="#cite_note-14"><span class="cite-bracket">&#91;</span>14<span class="cite-bracket">&#93;</span></a></sup> On March 15, 2017, TechInsights revealed the Nintendo Switch is powered by a custom Tegra X1 (model T210), with lower clockspeeds.<sup id="cite_ref-:1_15-0" class="reference"><a href="#cite_note-:1-15"><span class="cite-bracket">&#91;</span>15<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Models">Models</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=2" title="Edit section: Models"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="mw-heading mw-heading3"><h3 id="Tegra_APX">Tegra APX</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=3" title="Edit section: Tegra APX"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <dl><dt>Tegra APX 2500</dt></dl> <ul><li>Processor: <a href="/wiki/ARM11" title="ARM11">ARM11</a> 600&#160;MHz MPCore (originally GeForce ULV) <ul><li>Suffix: APX (formerly CSX)</li></ul></li> <li>Memory: NOR or NAND flash, Mobile DDR</li> <li>Graphics: Image processor (<a href="/wiki/Graphic_display_resolutions#FWVGA_(854×480)" class="mw-redirect" title="Graphic display resolutions">FWVGA</a> 854×480 pixels) <ul><li>Up to 12 <a href="/wiki/Megapixel" class="mw-redirect" title="Megapixel">megapixels</a> camera support</li> <li>LCD controller supports resolutions up to 1280×1024</li></ul></li> <li>Storage: IDE for SSD</li> <li>Video codecs: up to <a href="/wiki/720p" title="720p">720p</a> <a href="/wiki/H.264/MPEG-4_AVC" class="mw-redirect" title="H.264/MPEG-4 AVC">MPEG-4 AVC/H.264</a> and <a href="/wiki/VC-1" title="VC-1">VC-1</a> decoding</li> <li>Includes <a href="/wiki/GeForce" title="GeForce">GeForce</a> ULV support for <a href="/wiki/OpenGL_ES" title="OpenGL ES">OpenGL ES</a> 2.0, <a href="/wiki/Direct3D_Mobile" class="mw-redirect" title="Direct3D Mobile">Direct3D Mobile</a>, and programmable shaders</li> <li>Output: <a href="/wiki/HDMI" title="HDMI">HDMI</a>, <a href="/wiki/VGA" class="mw-redirect" title="VGA">VGA</a>, <a href="/wiki/Composite_video" title="Composite video">composite video</a>, <a href="/wiki/S-Video" title="S-Video">S-Video</a>, stereo jack, USB</li> <li><a href="/wiki/USB_On-The-Go" title="USB On-The-Go">USB On-The-Go</a></li></ul> <dl><dt>Tegra APX 2600</dt></dl> <ul><li>Enhanced NAND flash</li> <li>Video codecs:<sup id="cite_ref-16" class="reference"><a href="#cite_note-16"><span class="cite-bracket">&#91;</span>16<span class="cite-bracket">&#93;</span></a></sup> <ul><li>720p H.264 Baseline Profile encode or decode</li> <li>720p VC-1/WMV9 Advanced Profile decode</li> <li><a href="/wiki/D-1_(Sony)" title="D-1 (Sony)">D-1</a> <a href="/wiki/MPEG-4_Part_2" title="MPEG-4 Part 2">MPEG-4 Simple Profile</a> encode or decode</li></ul></li></ul> <div class="mw-heading mw-heading3"><h3 id="Tegra_6xx">Tegra 6xx</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=4" title="Edit section: Tegra 6xx"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <dl><dt>Tegra 600</dt></dl> <ul><li>Targeted for GPS segment and automotiveRed</li> <li>Processor: ARM11 700&#160;MHz MPCore</li> <li>Memory: <a href="/wiki/Mobile_DDR" class="mw-redirect" title="Mobile DDR">low-power DDR</a> (<a href="/wiki/DDR_SDRAM" title="DDR SDRAM">DDR-333</a>, 166&#160;MHz)</li> <li>SXGA, HDMI, USB, stereo jack</li> <li>HD camera 720p</li></ul> <dl><dt>Tegra 650</dt></dl> <ul><li>Targeted for GTX of handheld and notebook</li> <li>Processor: ARM11 800&#160;MHz MPCore</li> <li><a href="/wiki/Mobile_DDR" class="mw-redirect" title="Mobile DDR">Low power DDR</a> (<a href="/wiki/DDR_SDRAM" title="DDR SDRAM">DDR-400</a>, 200&#160;MHz)</li> <li>Less than 1&#160;watt envelope</li> <li>HD image processing for advanced digital still camera and HD camcorder functions</li> <li>Display supports <a href="/wiki/1080p" title="1080p">1080p</a> at 24 frame/s, HDMI v1.3, WSXGA+ LCD and CRT, and NTSC/PAL TV output</li> <li>Direct support for Wi-Fi, disk drives, keyboard, mouse, and other peripherals</li> <li>A complete <a href="/wiki/Board_support_package" title="Board support package">board support package</a> (BSP) to enable fast time to market for Windows Mobile-based designs</li></ul> <div class="mw-heading mw-heading3"><h3 id="Tegra_2">Tegra 2</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=5" title="Edit section: Tegra 2"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/a/af/Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg/170px-Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg" decoding="async" width="170" height="170" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/a/af/Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg/255px-Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/a/af/Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg/340px-Motorola_Xoom_-_nvidia_Tegra_2_T20-H-A2_on_main_board-0121.jpg 2x" data-file-width="3092" data-file-height="3092" /></a><figcaption>Nvidia Tegra 2 T20</figcaption></figure> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:Nvidia_Tegra_2_T20_Die_Shot.jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/c/cc/Nvidia_Tegra_2_T20_Die_Shot.jpg/170px-Nvidia_Tegra_2_T20_Die_Shot.jpg" decoding="async" width="170" height="171" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/c/cc/Nvidia_Tegra_2_T20_Die_Shot.jpg/255px-Nvidia_Tegra_2_T20_Die_Shot.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/c/cc/Nvidia_Tegra_2_T20_Die_Shot.jpg/340px-Nvidia_Tegra_2_T20_Die_Shot.jpg 2x" data-file-width="21423" data-file-height="21566" /></a><figcaption>Nvidia Tegra 2 T20 <a href="/w/index.php?title=Die_Shot&amp;action=edit&amp;redlink=1" class="new" title="Die Shot (page does not exist)">die Shot</a></figcaption></figure> <p>The second generation Tegra SoC has a <a href="/wiki/Multi-core_processor" title="Multi-core processor">dual-core</a> <a href="/wiki/ARM_Cortex-A9" title="ARM Cortex-A9">ARM Cortex-A9</a> CPU, an ultra low power (ULP) GeForce GPU,<sup id="cite_ref-17" class="reference"><a href="#cite_note-17"><span class="cite-bracket">&#91;</span>17<span class="cite-bracket">&#93;</span></a></sup> a 32-bit memory controller with either LPDDR2-600 or DDR2-667 memory, a 32&#160;KB/32&#160;KB L1 cache per core and a shared 1&#160;MB L2 cache.<sup id="cite_ref-18" class="reference"><a href="#cite_note-18"><span class="cite-bracket">&#91;</span>18<span class="cite-bracket">&#93;</span></a></sup> Tegra 2's Cortex A9 implementation does not include ARM's SIMD extension, <a href="/wiki/ARM_NEON" class="mw-redirect" title="ARM NEON">NEON</a>. There is a version of the Tegra 2 SoC supporting 3D displays; this SoC uses a higher clocked CPU and GPU. </p><p>The Tegra 2 video decoder is largely unchanged from the original Tegra and has limited support for HD formats.<sup id="cite_ref-19" class="reference"><a href="#cite_note-19"><span class="cite-bracket">&#91;</span>19<span class="cite-bracket">&#93;</span></a></sup> The lack of support for high-profile H.264 is particularly troublesome when using online video streaming services. </p><p>Common features: </p> <ul><li>CPU cache: L1: 32&#160;KB instruction + 32&#160;KB data, L2: 1&#160;MB</li> <li><a href="/w/index.php?title=40_nm&amp;action=edit&amp;redlink=1" class="new" title="40 nm (page does not exist)">40 nm</a> semiconductor technology</li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="3"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th><a href="/wiki/List_of_device_bit_rates#Dynamic_random_access_memory" class="mw-redirect" title="List of device bit rates">Band-<br />width</a> </th> <th>Availability </th></tr> <tr> <td>AP20H (Ventana/Unknown) </td> <td rowspan="4"><a href="/wiki/ARM_Cortex-A9_MPCore" class="mw-redirect" title="ARM Cortex-A9 MPCore">Cortex-A9</a></td> <td rowspan="4">2</td> <td rowspan="2">1.0&#160;GHz </td> <td rowspan="4"><a href="/wiki/Very_long_instruction_word" title="Very long instruction word">VLIW</a>-based<br />VEC4 units<sup id="cite_ref-AnandTech_Tegra_4_20-0" class="reference"><a href="#cite_note-AnandTech_Tegra_4-20"><span class="cite-bracket">&#91;</span>20<span class="cite-bracket">&#93;</span></a></sup></td> <td rowspan="4">4:4:4:4<sup id="cite_ref-21" class="reference"><a href="#cite_note-21"><span class="cite-bracket">&#91;</span>21<span class="cite-bracket">&#93;</span></a></sup></td> <td>300&#160;MHz </td> <td rowspan="4"><a href="/wiki/LPDDR2" class="mw-redirect" title="LPDDR2">LPDDR2</a> 300&#160;MHz<br /><a href="/wiki/DDR2_SDRAM" title="DDR2 SDRAM">DDR2</a> 333&#160;MHz</td> <td rowspan="4">?</td> <td rowspan="4">32&#160;bit<br />single-channel</td> <td rowspan="4">2.4 <a href="/wiki/GiB/s" class="mw-redirect" title="GiB/s">GB/s</a><br />2.7 GB/s </td> <td rowspan="2">Q1 2010 </td></tr> <tr> <td>T20 (Harmony/Ventana) </td> <td>333&#160;MHz </td></tr> <tr> <td>AP25 </td> <td rowspan="2">1.2&#160;GHz </td> <td rowspan="2">400&#160;MHz </td> <td rowspan="2">Q1 2011 </td></tr> <tr> <td>T25 </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/Pixel_shader" class="mw-redirect" title="Pixel shader">Pixel shaders</a>&#160;: <a href="/wiki/Vertex_shader" class="mw-redirect" title="Vertex shader">Vertex shaders</a>&#160;: <a href="/wiki/Texture_mapping_unit" title="Texture mapping unit">Texture mapping units</a>&#160;: <a href="/wiki/Render_output_unit" title="Render output unit">Render output units</a> </p> <div class="mw-heading mw-heading4"><h4 id="Devices">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=6" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th></tr> <tr> <td>AP20H </td> <td><a href="/wiki/Motorola_Atrix_4G" title="Motorola Atrix 4G">Motorola Atrix 4G</a>, <a href="/wiki/Motorola_Droid_X2" class="mw-redirect" title="Motorola Droid X2">Motorola Droid X2</a>, <a href="/wiki/Motorola_Photon" title="Motorola Photon">Motorola Photon</a>, <a href="/wiki/LG_Optimus_2X" title="LG Optimus 2X">LG Optimus 2X / LG Optimus Dual P990 / Optimus 2x SU660 (?)</a>, <a href="/wiki/Samsung_Galaxy_R" title="Samsung Galaxy R">Samsung Galaxy R</a>, <a href="/wiki/Samsung_Captivate_Glide" title="Samsung Captivate Glide">Samsung Captivate Glide</a>,<br /><a href="/w/index.php?title=LG_Optimus_22556&amp;action=edit&amp;redlink=1" class="new" title="LG Optimus 22556 (page does not exist)">T-Mobile G2X P999</a>, <a href="/wiki/Acer_Iconia_Tab" class="mw-redirect" title="Acer Iconia Tab">Acer Iconia Tab</a> A200 and A500, <a href="/wiki/LG_Optimus_Pad" title="LG Optimus Pad">LG Optimus Pad</a>, <a href="/wiki/Motorola_Xoom" title="Motorola Xoom">Motorola Xoom</a>,<sup id="cite_ref-22" class="reference"><a href="#cite_note-22"><span class="cite-bracket">&#91;</span>22<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Sony_Tablet_S" title="Sony Tablet S">Sony Tablet S</a>, Dell Streak Pro,<sup id="cite_ref-23" class="reference"><a href="#cite_note-23"><span class="cite-bracket">&#91;</span>23<span class="cite-bracket">&#93;</span></a></sup> Toshiba Thrive<sup id="cite_ref-24" class="reference"><a href="#cite_note-24"><span class="cite-bracket">&#91;</span>24<span class="cite-bracket">&#93;</span></a></sup> tablet, <a href="/wiki/T-Mobile_G-Slate" class="mw-redirect" title="T-Mobile G-Slate">T-Mobile G-Slate</a> </td></tr> <tr> <td>AP25 </td> <td>Fusion Garage Grid 10<sup class="noprint Inline-Template Template-Fact" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Citation_needed" title="Wikipedia:Citation needed"><span title="This claim needs references to reliable sources. (September 2011)">citation needed</span></a></i>&#93;</sup> </td></tr> <tr> <td>T20 </td> <td>Avionic Design Tamonten Processor Board,<sup id="cite_ref-25" class="reference"><a href="#cite_note-25"><span class="cite-bracket">&#91;</span>25<span class="cite-bracket">&#93;</span></a></sup> Notion Ink <a href="/wiki/Adam_tablet" title="Adam tablet">Adam tablet</a>, <a href="/wiki/Olivetti" title="Olivetti">Olivetti</a> OliPad 100, <a href="/wiki/ViewSonic_G_Tablet" title="ViewSonic G Tablet">ViewSonic G Tablet</a>, <a href="/wiki/ASUS_Eee_Pad_Transformer" class="mw-redirect" title="ASUS Eee Pad Transformer">ASUS Eee Pad Transformer</a>, <a href="/wiki/Samsung_Galaxy_Tab_10.1" title="Samsung Galaxy Tab 10.1">Samsung Galaxy Tab 10.1</a>, <a href="/wiki/Toshiba_AC100" title="Toshiba AC100">Toshiba AC100</a>, CompuLab <a href="/wiki/Trim-Slice" title="Trim-Slice">Trim-Slice</a> nettop, <a href="/wiki/Velocity_Micro" title="Velocity Micro">Velocity Micro</a> <a href="/wiki/Cruz_(Tablet)" class="mw-redirect" title="Cruz (Tablet)">Cruz Tablet</a> L510, <a href="/wiki/Acer_Iconia_Tab" class="mw-redirect" title="Acer Iconia Tab">Acer Iconia Tab</a> A100 </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Tesla_Motors" class="mw-redirect" title="Tesla Motors">Tesla Motors</a> Model S 2012~2017 and Model X 2015~2017 instrument cluster (IC)<sup id="cite_ref-arstechnica.com_26-0" class="reference"><a href="#cite_note-arstechnica.com-26"><span class="cite-bracket">&#91;</span>26<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-Processors_Analysis_and_Count_27-0" class="reference"><a href="#cite_note-Processors_Analysis_and_Count-27"><span class="cite-bracket">&#91;</span>27<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Tegra_3">Tegra 3</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=7" title="Edit section: Tegra 3"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:OUYA-Console-set-h.jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/a/af/OUYA-Console-set-h.jpg/220px-OUYA-Console-set-h.jpg" decoding="async" width="220" height="129" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/a/af/OUYA-Console-set-h.jpg/330px-OUYA-Console-set-h.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/a/af/OUYA-Console-set-h.jpg/440px-OUYA-Console-set-h.jpg 2x" data-file-width="5800" data-file-height="3400" /></a><figcaption>The <a href="/wiki/Ouya" title="Ouya">Ouya</a> uses a Tegra 3 T33-P-A3.</figcaption></figure> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:Nexus_7_(2012)_-_board_-_Nvidia_T30L-P-A3-4854.jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/8/80/Nexus_7_%282012%29_-_board_-_Nvidia_T30L-P-A3-4854.jpg/170px-Nexus_7_%282012%29_-_board_-_Nvidia_T30L-P-A3-4854.jpg" decoding="async" width="170" height="170" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/8/80/Nexus_7_%282012%29_-_board_-_Nvidia_T30L-P-A3-4854.jpg/255px-Nexus_7_%282012%29_-_board_-_Nvidia_T30L-P-A3-4854.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/80/Nexus_7_%282012%29_-_board_-_Nvidia_T30L-P-A3-4854.jpg/340px-Nexus_7_%282012%29_-_board_-_Nvidia_T30L-P-A3-4854.jpg 2x" data-file-width="3839" data-file-height="3839" /></a><figcaption>Nvidia Tegra 3 T30L</figcaption></figure> <p>NVIDIA's Tegra 3 (<a href="/wiki/Codename" class="mw-redirect" title="Codename">codenamed</a> "<a href="/wiki/Kal-El" class="mw-redirect" title="Kal-El">Kal-El</a>")<sup id="cite_ref-28" class="reference"><a href="#cite_note-28"><span class="cite-bracket">&#91;</span>28<span class="cite-bracket">&#93;</span></a></sup> is functionally a SoC with a quad-core <a href="/wiki/ARM_Cortex-A9_MPCore" class="mw-redirect" title="ARM Cortex-A9 MPCore">ARM Cortex-A9 MPCore</a> CPU, but includes a fifth "companion" core in what Nvidia refers to as a "variable <a href="/wiki/Symmetric_multiprocessing" title="Symmetric multiprocessing">SMP</a> architecture".<sup id="cite_ref-29" class="reference"><a href="#cite_note-29"><span class="cite-bracket">&#91;</span>29<span class="cite-bracket">&#93;</span></a></sup> While all cores are Cortex-A9s, the companion core is manufactured with a low-power silicon process. This core operates transparently to applications and is used to reduce power consumption when processing load is minimal. The main quad-core portion of the CPU powers off in these situations. </p><p>Tegra 3 is the first Tegra release to support ARM's SIMD extension, <a href="/wiki/ARM_NEON" class="mw-redirect" title="ARM NEON">NEON</a>. </p><p>The GPU in Tegra 3 is an evolution of the Tegra 2 GPU, with 4 additional pixel shader units and higher clock frequency. It can also output video up to 2560×1600 resolution and supports <a href="/wiki/1080p" title="1080p">1080p</a> <a href="/wiki/H.264/MPEG-4_AVC" class="mw-redirect" title="H.264/MPEG-4 AVC">MPEG-4 AVC/h.264</a> 40&#160;Mbit/s High-Profile, VC1-AP, and simpler forms of MPEG-4 such as DivX and Xvid.<sup id="cite_ref-30" class="reference"><a href="#cite_note-30"><span class="cite-bracket">&#91;</span>30<span class="cite-bracket">&#93;</span></a></sup> </p><p>The Tegra 3 was released on November 9, 2011.<sup id="cite_ref-31" class="reference"><a href="#cite_note-31"><span class="cite-bracket">&#91;</span>31<span class="cite-bracket">&#93;</span></a></sup> </p><p>Common features: </p> <ul><li>CPU cache: L1: 32&#160;KB instruction + 32&#160;KB data, L2: 1&#160;MB</li> <li><a href="/w/index.php?title=40_nm&amp;action=edit&amp;redlink=1" class="new" title="40 nm (page does not exist)">40 nm</a> LPG semiconductor technology by <a href="/wiki/TSMC" title="TSMC">TSMC</a></li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="3"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency<br />(multi-&#160;/&#160;single-core mode) </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T30L </td> <td rowspan="4"><a href="/wiki/ARM_Cortex-A9_MPCore" class="mw-redirect" title="ARM Cortex-A9 MPCore">Cortex-A9</a></td> <td rowspan="4">4+1</td> <td>1.2&#160;GHz&#160;/&#160;up to 1.3&#160;GHz </td> <td rowspan="4"><a href="/wiki/Very_long_instruction_word" title="Very long instruction word">VLIW</a>-based<br />VEC4 units<sup id="cite_ref-AnandTech_Tegra_4_20-1" class="reference"><a href="#cite_note-AnandTech_Tegra_4-20"><span class="cite-bracket">&#91;</span>20<span class="cite-bracket">&#93;</span></a></sup></td> <td rowspan="4">8:4:8:8<sup id="cite_ref-32" class="reference"><a href="#cite_note-32"><span class="cite-bracket">&#91;</span>32<span class="cite-bracket">&#93;</span></a></sup></td> <td>416&#160;MHz </td> <td><a href="/wiki/DDR3" class="mw-redirect" title="DDR3">DDR3-1333</a></td> <td>?</td> <td rowspan="4">32 bit<br />single-channel</td> <td>5.3 GB/s<sup id="cite_ref-anandtech.com_33-0" class="reference"><a href="#cite_note-anandtech.com-33"><span class="cite-bracket">&#91;</span>33<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Q1 2012 </td></tr> <tr> <td>T30 </td> <td rowspan="2">1.4&#160;GHz&#160;/&#160;up to 1.5&#160;GHz </td> <td rowspan="3">520&#160;MHz </td> <td rowspan="2"><a href="/wiki/LPDDR2" class="mw-redirect" title="LPDDR2">LPDDR2-1066</a><br /><a href="/wiki/DDR3_SDRAM" title="DDR3 SDRAM">DDR3-L-1500</a></td> <td rowspan="2">?</td> <td rowspan="2">4.3 GB/s<br />6.0 GB/s<sup id="cite_ref-nvidia1_34-0" class="reference"><a href="#cite_note-nvidia1-34"><span class="cite-bracket">&#91;</span>34<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2">Q4 2011 </td></tr> <tr> <td>AP33 </td></tr> <tr> <td>T33 </td> <td>1.6&#160;GHz&#160;/&#160;up to 1.7&#160;GHz<sup id="cite_ref-anandtech.com_33-1" class="reference"><a href="#cite_note-anandtech.com-33"><span class="cite-bracket">&#91;</span>33<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/DDR3_SDRAM" title="DDR3 SDRAM">DDR3-1600</a></td> <td>?</td> <td>6.4 GB/s<sup id="cite_ref-anandtech.com_33-2" class="reference"><a href="#cite_note-anandtech.com-33"><span class="cite-bracket">&#91;</span>33<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Q2 2012 </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/Pixel_shader" class="mw-redirect" title="Pixel shader">Pixel shaders</a>&#160;: <a href="/wiki/Vertex_shader" class="mw-redirect" title="Vertex shader">Vertex shaders</a>&#160;: <a href="/wiki/Texture_mapping_unit" title="Texture mapping unit">Texture mapping units</a>&#160;: <a href="/wiki/Render_output_unit" title="Render output unit">Render output units</a> </p> <div class="mw-heading mw-heading4"><h4 id="Devices_2">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=8" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th></tr> <tr> <td>AP33 </td> <td><a href="/wiki/LG_Optimus_4X_HD" title="LG Optimus 4X HD">LG Optimus 4X HD</a>, <a href="/wiki/HTC_One_X" title="HTC One X">HTC One X</a>, XOLO Play T1000,<sup id="cite_ref-35" class="reference"><a href="#cite_note-35"><span class="cite-bracket">&#91;</span>35<span class="cite-bracket">&#93;</span></a></sup> Coolpad 8735 </td></tr> <tr> <td>T30 </td> <td><a href="/wiki/Asus_Eee_Pad_Transformer_Prime" class="mw-redirect" title="Asus Eee Pad Transformer Prime">Asus Eee Pad Transformer Prime (TF201)</a>,<sup id="cite_ref-36" class="reference"><a href="#cite_note-36"><span class="cite-bracket">&#91;</span>36<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Lenovo_IdeaTab_K2" class="mw-redirect" title="Lenovo IdeaTab K2">IdeaTab K2</a> / LePad K2,<sup id="cite_ref-37" class="reference"><a href="#cite_note-37"><span class="cite-bracket">&#91;</span>37<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Acer_Iconia" title="Acer Iconia">Acer Iconia</a> Tab A510, Fuhu Inc. nabi 2 Tablet,<sup id="cite_ref-38" class="reference"><a href="#cite_note-38"><span class="cite-bracket">&#91;</span>38<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Microsoft_Surface_RT" class="mw-redirect" title="Microsoft Surface RT">Microsoft Surface RT</a>,<sup id="cite_ref-39" class="reference"><a href="#cite_note-39"><span class="cite-bracket">&#91;</span>39<span class="cite-bracket">&#93;</span></a></sup> Lenovo IdeaPad Yoga 11,<sup id="cite_ref-40" class="reference"><a href="#cite_note-40"><span class="cite-bracket">&#91;</span>40<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-41" class="reference"><a href="#cite_note-41"><span class="cite-bracket">&#91;</span>41<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>T30I </td> <td>Tesla Model S 2012~2017 and Model X 2015~2017 media control unit (MCU)<sup id="cite_ref-Processors_Analysis_and_Count_27-1" class="reference"><a href="#cite_note-Processors_Analysis_and_Count-27"><span class="cite-bracket">&#91;</span>27<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-blog.lookout.com_42-0" class="reference"><a href="#cite_note-blog.lookout.com-42"><span class="cite-bracket">&#91;</span>42<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>T30L </td> <td><a href="/wiki/Asus_Transformer_Pad_TF300T" title="Asus Transformer Pad TF300T">Asus Transformer Pad TF300T</a>, <a href="/wiki/Surface_(2012_tablet)" title="Surface (2012 tablet)">Microsoft Surface</a>, <a href="/wiki/Nexus_7_(2012)" title="Nexus 7 (2012)">Nexus 7 (2012)</a>,<sup id="cite_ref-nexus7hands-on_43-0" class="reference"><a href="#cite_note-nexus7hands-on-43"><span class="cite-bracket">&#91;</span>43<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Sony_Xperia_Tablet_S" title="Sony Xperia Tablet S">Sony Xperia Tablet S</a>, <a href="/wiki/Acer_Iconia" title="Acer Iconia">Acer Iconia</a> Tab A210, Toshiba AT300 (Excite 10),<sup id="cite_ref-toshibaexcite10benchmarkvideo_44-0" class="reference"><a href="#cite_note-toshibaexcite10benchmarkvideo-44"><span class="cite-bracket">&#91;</span>44<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> BLU Quattro 4.5,<sup id="cite_ref-45" class="reference"><a href="#cite_note-45"><span class="cite-bracket">&#91;</span>45<span class="cite-bracket">&#93;</span></a></sup> Coolpad 9070 </td></tr> <tr> <td>T33 </td> <td><a href="/wiki/Asus_Transformer_Pad_Infinity" class="mw-redirect" title="Asus Transformer Pad Infinity">Asus Transformer Pad Infinity</a> (TF700T), Fujitsu ARROWS X F-02E, <a href="/wiki/Ouya" title="Ouya">Ouya</a>, <a href="/wiki/HTC_One_X%2B" class="mw-redirect" title="HTC One X+">HTC One X+</a> </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Tegra_4">Tegra 4</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=9" title="Edit section: Tegra 4"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The Tegra&#160;4 (<a href="/wiki/Codename" class="mw-redirect" title="Codename">codenamed</a> "<a href="/wiki/Bruce_Wayne" class="mw-redirect" title="Bruce Wayne">Wayne</a>") was announced on January 6, 2013, and is a SoC with a quad-core CPU, but includes a fifth low-power Cortex A15 companion core which is invisible to the OS and performs background tasks to save power. This power-saving configuration is referred to as "variable SMP architecture" and operates like the similar configuration in Tegra&#160;3.<sup id="cite_ref-46" class="reference"><a href="#cite_note-46"><span class="cite-bracket">&#91;</span>46<span class="cite-bracket">&#93;</span></a></sup> </p><p>The GeForce GPU in Tegra&#160;4 is again an evolution of its predecessors. However, numerous feature additions and efficiency improvements were implemented. The number of processing resources was dramatically increased, and clock rate increased as well. In 3D tests, the Tegra&#160;4 GPU is typically several times faster than that of Tegra&#160;3.<sup id="cite_ref-47" class="reference"><a href="#cite_note-47"><span class="cite-bracket">&#91;</span>47<span class="cite-bracket">&#93;</span></a></sup> Additionally, the Tegra&#160;4 video processor has full support for hardware decoding and encoding of <a href="/wiki/WebM" title="WebM">WebM</a> video (up to 1080p 60&#160;Mbit/s @ 60fps).<sup id="cite_ref-T4whitePaper_48-0" class="reference"><a href="#cite_note-T4whitePaper-48"><span class="cite-bracket">&#91;</span>48<span class="cite-bracket">&#93;</span></a></sup> </p><p>Along with Tegra&#160;4, Nvidia also introduced i500, an optional <a href="/wiki/Software-defined_radio" title="Software-defined radio">software</a> modem based on Nvidia's acquisition of <a href="/wiki/Icera" title="Icera">Icera</a>, which can be reprogrammed to support new network standards. It supports category 3 (100&#160;Mbit/s) LTE but will later be updated to Category 4 (150&#160;Mbit/s). </p><p>Common features: </p> <ul><li>CPU cache: L1: 32&#160;KB instruction + 32&#160;KB data, L2: 2&#160;MB</li> <li><a href="/wiki/28_nm" class="mw-redirect" title="28 nm">28 nm</a> HPL semiconductor technology</li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="3"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Microarchitecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T114<sup id="cite_ref-49" class="reference"><a href="#cite_note-49"><span class="cite-bracket">&#91;</span>49<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> </td> <td><a href="/wiki/ARM_Cortex-A15" title="ARM Cortex-A15">Cortex-A15</a></td> <td>4+1</td> <td>up to 1.9&#160;GHz </td> <td><a href="/wiki/Very_long_instruction_word" title="Very long instruction word">VLIW</a>-based VEC4 units<sup id="cite_ref-PCPer_Tegra_4/4i_50-0" class="reference"><a href="#cite_note-PCPer_Tegra_4/4i-50"><span class="cite-bracket">&#91;</span>50<span class="cite-bracket">&#93;</span></a></sup></td> <td>72 (48:24:4)<sup id="cite_ref-AnandTech_Tegra_4_20-2" class="reference"><a href="#cite_note-AnandTech_Tegra_4-20"><span class="cite-bracket">&#91;</span>20<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-PCPer_Tegra_4/4i_50-1" class="reference"><a href="#cite_note-PCPer_Tegra_4/4i-50"><span class="cite-bracket">&#91;</span>50<span class="cite-bracket">&#93;</span></a></sup> </td> <td>672&#160;MHz<sup id="cite_ref-Tom&#39;s_Hardware_Tegra_4_51-0" class="reference"><a href="#cite_note-Tom&#39;s_Hardware_Tegra_4-51"><span class="cite-bracket">&#91;</span>51<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/DDR3L" class="mw-redirect" title="DDR3L">DDR3L</a> or <a href="/wiki/LPDDR3" class="mw-redirect" title="LPDDR3">LPDDR3</a></td> <td>?</td> <td>32 bit dual-channel</td> <td>up to 14.9&#160;GB/s (1866&#160;MT/s data rate)<sup id="cite_ref-52" class="reference"><a href="#cite_note-52"><span class="cite-bracket">&#91;</span>52<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-anandtech1_53-0" class="reference"><a href="#cite_note-anandtech1-53"><span class="cite-bracket">&#91;</span>53<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Q2 2013<sup id="cite_ref-54" class="reference"><a href="#cite_note-54"><span class="cite-bracket">&#91;</span>54<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/Pixel_shader" class="mw-redirect" title="Pixel shader">Pixel shaders</a>&#160;: <a href="/wiki/Vertex_shader" class="mw-redirect" title="Vertex shader">Vertex shaders</a>&#160;: <a href="/wiki/Pixel_pipeline" class="mw-redirect" title="Pixel pipeline">Pixel pipelines</a> (pairs 1x TMU and 1x ROP) </p> <div class="mw-heading mw-heading4"><h4 id="Devices_3">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=10" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th></tr> <tr> <td>T114 </td> <td><a href="/wiki/Shield_Portable" class="mw-redirect" title="Shield Portable">Nvidia Shield Portable</a>, <a href="/wiki/Tegra_Note_7" title="Tegra Note 7">Tegra Note 7</a>, <a href="/wiki/Surface_2" title="Surface 2">Microsoft Surface 2</a>, HP Slate 7 Extreme,<sup id="cite_ref-55" class="reference"><a href="#cite_note-55"><span class="cite-bracket">&#91;</span>55<span class="cite-bracket">&#93;</span></a></sup> HP Slate 7 Beats Special Edition,<sup id="cite_ref-56" class="reference"><a href="#cite_note-56"><span class="cite-bracket">&#91;</span>56<span class="cite-bracket">&#93;</span></a></sup> HP Slate 8 Pro,<sup id="cite_ref-57" class="reference"><a href="#cite_note-57"><span class="cite-bracket">&#91;</span>57<span class="cite-bracket">&#93;</span></a></sup> HP SlateBook x2,<sup id="cite_ref-58" class="reference"><a href="#cite_note-58"><span class="cite-bracket">&#91;</span>58<span class="cite-bracket">&#93;</span></a></sup> HP SlateBook 14,<sup id="cite_ref-59" class="reference"><a href="#cite_note-59"><span class="cite-bracket">&#91;</span>59<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/HP_Slate_21" title="HP Slate 21">HP Slate 21</a>,<sup id="cite_ref-60" class="reference"><a href="#cite_note-60"><span class="cite-bracket">&#91;</span>60<span class="cite-bracket">&#93;</span></a></sup> ZTE N988S, nabi Big Tab, Nuvola NP-1, <a href="/wiki/Mojo_(microconsole)" title="Mojo (microconsole)">Project Mojo</a>, <a href="/wiki/Asus_Transformer_Pad_TF701T" title="Asus Transformer Pad TF701T">Asus Transformer Pad TF701T</a>, Toshiba AT10-LE-A (Excite Pro), <a href="/wiki/Vizio" title="Vizio">Vizio</a> 10" tablet, Wexler.Terra 7, Wexler.Terra 10, Acer TA272HUL AIO, <a href="/wiki/Xiaomi_Mi_3" title="Xiaomi Mi 3">Xiaomi Mi 3</a> (TD-LTE version),<sup id="cite_ref-61" class="reference"><a href="#cite_note-61"><span class="cite-bracket">&#91;</span>61<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Coolpad" title="Coolpad">Coolpad</a> 8970L (<span title="Chinese-language text"><span lang="zh">大观</span></span> 4),<sup id="cite_ref-62" class="reference"><a href="#cite_note-62"><span class="cite-bracket">&#91;</span>62<span class="cite-bracket">&#93;</span></a></sup> Audi Tablet,<sup id="cite_ref-63" class="reference"><a href="#cite_note-63"><span class="cite-bracket">&#91;</span>63<span class="cite-bracket">&#93;</span></a></sup> Le Pan TC1020 10.1",<sup id="cite_ref-64" class="reference"><a href="#cite_note-64"><span class="cite-bracket">&#91;</span>64<span class="cite-bracket">&#93;</span></a></sup> Matrimax iPLAY 7,<sup id="cite_ref-65" class="reference"><a href="#cite_note-65"><span class="cite-bracket">&#91;</span>65<span class="cite-bracket">&#93;</span></a></sup> Kobo Arc 10HD<sup id="cite_ref-66" class="reference"><a href="#cite_note-66"><span class="cite-bracket">&#91;</span>66<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading4"><h4 id="Tegra_4i">Tegra 4i</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=11" title="Edit section: Tegra 4i"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The Tegra&#160;4i (<a href="/wiki/Codename" class="mw-redirect" title="Codename">codenamed</a> "<a href="/wiki/Jean_Grey" title="Jean Grey">Grey</a>") was announced on February 19, 2013. With hardware support for the same audio and video formats,<sup id="cite_ref-T4whitePaper_48-1" class="reference"><a href="#cite_note-T4whitePaper-48"><span class="cite-bracket">&#91;</span>48<span class="cite-bracket">&#93;</span></a></sup> but using Cortex-A9 cores instead of Cortex-A15, the Tegra&#160;4i is a low-power variant of the Tegra&#160;4 and is designed for phones and tablets. Unlike its Tegra&#160;4 counterpart, the Tegra&#160;4i also integrates the <a href="/wiki/Icera" title="Icera">Icera</a>&#160;i500 <a href="/wiki/LTE_(telecommunication)" title="LTE (telecommunication)">LTE</a>/<a href="/wiki/Evolved_HSPA" class="mw-redirect" title="Evolved HSPA">HSPA+</a> <a href="/wiki/Baseband_processor" title="Baseband processor">baseband processor</a> onto the same die. </p><p>Common features: </p> <ul><li><a href="/wiki/28_nm" class="mw-redirect" title="28 nm">28 nm</a> HPM semiconductor technology</li> <li>CPU cache: L1: 32&#160;KB instruction + 32&#160;KB data, L2: 1&#160;MB</li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="3"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Microarchitecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T148?<sup id="cite_ref-67" class="reference"><a href="#cite_note-67"><span class="cite-bracket">&#91;</span>67<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/ARM_Cortex-A9_MPCore" class="mw-redirect" title="ARM Cortex-A9 MPCore">Cortex-A9 "R4"</a></td> <td>4+1</td> <td>up to 2.0&#160;GHz </td> <td><a href="/wiki/Very_long_instruction_word" title="Very long instruction word">VLIW</a>-based VEC4 units<sup id="cite_ref-PCPer_Tegra_4/4i_50-2" class="reference"><a href="#cite_note-PCPer_Tegra_4/4i-50"><span class="cite-bracket">&#91;</span>50<span class="cite-bracket">&#93;</span></a></sup></td> <td>60 (48:12:2)<sup id="cite_ref-PCPer_Tegra_4/4i_50-3" class="reference"><a href="#cite_note-PCPer_Tegra_4/4i-50"><span class="cite-bracket">&#91;</span>50<span class="cite-bracket">&#93;</span></a></sup> </td> <td>660&#160;MHz<sup id="cite_ref-Tom&#39;s_Hardware_Tegra_4_51-1" class="reference"><a href="#cite_note-Tom&#39;s_Hardware_Tegra_4-51"><span class="cite-bracket">&#91;</span>51<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/LPDDR3" class="mw-redirect" title="LPDDR3">LPDDR3</a></td> <td></td> <td>32 bit single-channel</td> <td>6.4–7.5&#160;GB/s (800–933&#160;MHz)<sup id="cite_ref-anandtech1_53-1" class="reference"><a href="#cite_note-anandtech1-53"><span class="cite-bracket">&#91;</span>53<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Q1 2014 </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/Pixel_shader" class="mw-redirect" title="Pixel shader">Pixel shaders</a>&#160;: <a href="/wiki/Vertex_shader" class="mw-redirect" title="Vertex shader">Vertex shaders</a>&#160;: <a href="/wiki/Pixel_pipeline" class="mw-redirect" title="Pixel pipeline">Pixel pipelines</a> (pairs 1x TMU and 1x ROP) </p> <div class="mw-heading mw-heading5"><h5 id="Devices_4">Devices</h5><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=12" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th></tr> <tr> <td>T148? </td> <td><a href="/wiki/Blackphone" title="Blackphone">Blackphone</a>, LG G2 mini LTE, Wiko Highway 4G,<sup id="cite_ref-68" class="reference"><a href="#cite_note-68"><span class="cite-bracket">&#91;</span>68<span class="cite-bracket">&#93;</span></a></sup> Explay 4Game,<sup id="cite_ref-69" class="reference"><a href="#cite_note-69"><span class="cite-bracket">&#91;</span>69<span class="cite-bracket">&#93;</span></a></sup> Wiko Wax<sup id="cite_ref-70" class="reference"><a href="#cite_note-70"><span class="cite-bracket">&#91;</span>70<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-Wiko_WAX_71-0" class="reference"><a href="#cite_note-Wiko_WAX-71"><span class="cite-bracket">&#91;</span>71<span class="cite-bracket">&#93;</span></a></sup> QMobile Noir LT-250<sup id="cite_ref-QMobile_Noir_LT-250_72-0" class="reference"><a href="#cite_note-QMobile_Noir_LT-250-72"><span class="cite-bracket">&#91;</span>72<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Tegra_K1"><span class="anchor" id="Jetson_TK1"></span>Tegra K1</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=13" title="Edit section: Tegra K1"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p><a href="/wiki/Nvidia" title="Nvidia">Nvidia</a>'s Tegra K1 (codenamed "<a href="/wiki/James_Logan_Howlett" class="mw-redirect" title="James Logan Howlett">Logan</a>") features ARM Cortex-A15 cores in a 4+1 configuration similar to Tegra&#160;4, or Nvidia's <a href="/wiki/64-bit_computing" title="64-bit computing">64-bit</a> <a href="/wiki/Project_Denver" title="Project Denver">Project Denver</a> dual-core processor as well as a <a href="/wiki/Kepler_(microarchitecture)" title="Kepler (microarchitecture)">Kepler</a> graphics processing unit with support for Direct3D 12, OpenGL ES 3.1, CUDA 6.5, <a href="/wiki/OpenGL" title="OpenGL">OpenGL 4.4</a>/<a href="/wiki/OpenGL" title="OpenGL">OpenGL 4.5</a>, and <a href="/wiki/Vulkan_(API)" class="mw-redirect" title="Vulkan (API)">Vulkan</a>.<sup id="cite_ref-73" class="reference"><a href="#cite_note-73"><span class="cite-bracket">&#91;</span>73<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-74" class="reference"><a href="#cite_note-74"><span class="cite-bracket">&#91;</span>74<span class="cite-bracket">&#93;</span></a></sup> Nvidia claims that it outperforms both the Xbox 360 and the PS3, whilst consuming significantly less power.<sup id="cite_ref-bbc2014_75-0" class="reference"><a href="#cite_note-bbc2014-75"><span class="cite-bracket">&#91;</span>75<span class="cite-bracket">&#93;</span></a></sup> </p><p>Support <a href="/wiki/Adaptive_Scalable_Texture_Compression" class="mw-redirect" title="Adaptive Scalable Texture Compression">Adaptive Scalable Texture Compression</a>.<sup id="cite_ref-gputechconf1_76-0" class="reference"><a href="#cite_note-gputechconf1-76"><span class="cite-bracket">&#91;</span>76<span class="cite-bracket">&#93;</span></a></sup> </p><p>In late April 2014, Nvidia shipped the "Jetson TK1" development board containing a Tegra K1 SoC and running <a href="/wiki/Ubuntu_(operating_system)" class="mw-redirect" title="Ubuntu (operating system)">Ubuntu Linux</a>.<sup id="cite_ref-77" class="reference"><a href="#cite_note-77"><span class="cite-bracket">&#91;</span>77<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> </p> <ul><li>Processor: <ul><li><a href="/wiki/32-bit" class="mw-redirect" title="32-bit">32-bit</a> variant quad-core <a href="/wiki/ARM_Cortex-A15_MPCore" class="mw-redirect" title="ARM Cortex-A15 MPCore">ARM Cortex-A15 MPCore R3</a> + low power companion core</li> <li>or 64-bit variant with dual-core <a href="/wiki/Project_Denver" title="Project Denver">Project Denver</a><sup id="cite_ref-78" class="reference"><a href="#cite_note-78"><span class="cite-bracket">&#91;</span>78<span class="cite-bracket">&#93;</span></a></sup> (variant once codenamed "<a href="/wiki/Iron_Man" title="Iron Man">Stark</a>"<sup id="cite_ref-79" class="reference"><a href="#cite_note-79"><span class="cite-bracket">&#91;</span>79<span class="cite-bracket">&#93;</span></a></sup>)</li></ul></li> <li>GPU consisting of 192 ALUs using <a href="/wiki/Kepler_(microarchitecture)" title="Kepler (microarchitecture)">Kepler</a> technology</li> <li><a href="/wiki/28_nm" class="mw-redirect" title="28 nm">28 nm</a> HPM process</li> <li>Released in Q2 2014</li> <li>Power consumption: 8&#160;watts<sup id="cite_ref-bbc2014_75-1" class="reference"><a href="#cite_note-bbc2014-75"><span class="cite-bracket">&#91;</span>75<span class="cite-bracket">&#93;</span></a></sup></li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="4"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>GFLOPS<br />(FP32) </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T124<sup id="cite_ref-80" class="reference"><a href="#cite_note-80"><span class="cite-bracket">&#91;</span>80<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/ARM_Cortex-A15" title="ARM Cortex-A15">Cortex-A15</a> R3<br />(32-bit) </td> <td>4+1 </td> <td>up to 2.3&#160;GHz<sup id="cite_ref-:0_81-0" class="reference"><a href="#cite_note-:0-81"><span class="cite-bracket">&#91;</span>81<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2">GK20A<br />(<a href="/wiki/Kepler_(microarchitecture)" title="Kepler (microarchitecture)">Kepler</a>) </td> <td rowspan="2">192:8:4<sup id="cite_ref-AnandTech_Tegra_K1_82-0" class="reference"><a href="#cite_note-AnandTech_Tegra_K1-82"><span class="cite-bracket">&#91;</span>82<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2">756–951&#160;MHz </td> <td rowspan="2">290–365<sup id="cite_ref-83" class="reference"><a href="#cite_note-83"><span class="cite-bracket">&#91;</span>83<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2"><a href="/wiki/DDR3L" class="mw-redirect" title="DDR3L">DDR3L</a><br /><a href="/wiki/LPDDR3" class="mw-redirect" title="LPDDR3">LPDDR3</a><sup id="cite_ref-AnandTech_Tegra_K1_82-1" class="reference"><a href="#cite_note-AnandTech_Tegra_K1-82"><span class="cite-bracket">&#91;</span>82<span class="cite-bracket">&#93;</span></a></sup> </td> <td>max 8&#160;GB<br /><small>with 40-bit address extension<sup>2</sup></small> </td> <td>64 bit </td> <td>17 GB/s<sup id="cite_ref-AnandTech_Tegra_K1_82-2" class="reference"><a href="#cite_note-AnandTech_Tegra_K1-82"><span class="cite-bracket">&#91;</span>82<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Q2 2014 </td></tr> <tr> <td>T132 </td> <td><a href="/wiki/Project_Denver" title="Project Denver">Denver</a><br />(64-bit) </td> <td>2<sup id="cite_ref-AnandTech_Tegra_K1_82-3" class="reference"><a href="#cite_note-AnandTech_Tegra_K1-82"><span class="cite-bracket">&#91;</span>82<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 2.5&#160;GHz<sup id="cite_ref-:0_81-1" class="reference"><a href="#cite_note-:0-81"><span class="cite-bracket">&#91;</span>81<span class="cite-bracket">&#93;</span></a></sup> </td> <td>max 8&#160;GB </td> <td>? </td> <td>? </td> <td>Q3 2014 </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/Unified_shader_model" title="Unified shader model">Unified Shaders</a>&#160;: <a href="/wiki/Texture_mapping_unit" title="Texture mapping unit">Texture mapping units</a>&#160;: <a href="/wiki/Render_output_unit" title="Render output unit">Render output units</a> </p><p><sup>2</sup> ARM Large Physical Page Extension (LPAE) supports 1&#160;<a href="/wiki/Tebibyte" class="mw-redirect" title="Tebibyte">TiB</a> (2<sup>40</sup> bytes). The 8&#160;<a href="/wiki/Gibibyte" class="mw-redirect" title="Gibibyte">GiB</a> limitation is part-specific. </p> <div class="mw-heading mw-heading4"><h4 id="Devices_5">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=14" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th></tr> <tr> <td>T124 </td> <td>Jetson TK1 development board,<sup id="cite_ref-84" class="reference"><a href="#cite_note-84"><span class="cite-bracket">&#91;</span>84<span class="cite-bracket">&#93;</span></a></sup> Nvidia <a href="/wiki/Shield_Tablet" class="mw-redirect" title="Shield Tablet">Shield Tablet</a>,<sup id="cite_ref-85" class="reference"><a href="#cite_note-85"><span class="cite-bracket">&#91;</span>85<span class="cite-bracket">&#93;</span></a></sup> Acer Chromebook 13,<sup id="cite_ref-86" class="reference"><a href="#cite_note-86"><span class="cite-bracket">&#91;</span>86<span class="cite-bracket">&#93;</span></a></sup> HP Chromebook 14 G3,<sup id="cite_ref-87" class="reference"><a href="#cite_note-87"><span class="cite-bracket">&#91;</span>87<span class="cite-bracket">&#93;</span></a></sup> Xiaomi MiPad,<sup id="cite_ref-Xiaomi_MiPad_7.9_88-0" class="reference"><a href="#cite_note-Xiaomi_MiPad_7.9-88"><span class="cite-bracket">&#91;</span>88<span class="cite-bracket">&#93;</span></a></sup> Snail Games<br />OBox, UTStarcom MC8718, Google <a href="/wiki/Project_Tango" class="mw-redirect" title="Project Tango">Project Tango</a> tablet,<sup id="cite_ref-89" class="reference"><a href="#cite_note-89"><span class="cite-bracket">&#91;</span>89<span class="cite-bracket">&#93;</span></a></sup> Apalis TK1 System on Module,<sup id="cite_ref-90" class="reference"><a href="#cite_note-90"><span class="cite-bracket">&#91;</span>90<span class="cite-bracket">&#93;</span></a></sup> Fuze Tomahawk F1,<sup id="cite_ref-91" class="reference"><a href="#cite_note-91"><span class="cite-bracket">&#91;</span>91<span class="cite-bracket">&#93;</span></a></sup> JXD Singularity S192<sup id="cite_ref-92" class="reference"><a href="#cite_note-92"><span class="cite-bracket">&#91;</span>92<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>T132 </td> <td>HTC <a href="/wiki/Nexus_9" title="Nexus 9">Nexus 9</a><sup id="cite_ref-93" class="reference"><a href="#cite_note-93"><span class="cite-bracket">&#91;</span>93<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-94" class="reference"><a href="#cite_note-94"><span class="cite-bracket">&#91;</span>94<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <p>In December 2015, the web page of wccftech.com published an article stating that Tesla is going to use a Tegra K1 based design derived from the template of the Nvidia Visual Computing Module (VCM) for driving the infotainment systems and providing visual driving aid in the respective vehicle models of that time.<sup id="cite_ref-95" class="reference"><a href="#cite_note-95"><span class="cite-bracket">&#91;</span>95<span class="cite-bracket">&#93;</span></a></sup> This news has, as of now, found no similar successor or other clear confirmation later on in any other place on such a combination of a multimedia with an auto pilot system for these vehicle models. </p> <div class="mw-heading mw-heading3"><h3 id="Tegra_X1"><span class="anchor" id="Jetson_TX1"></span>Tegra X1</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=15" title="Edit section: Tegra X1"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/8/88/Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg/220px-Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg" decoding="async" width="220" height="128" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/8/88/Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg/330px-Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/88/Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg/440px-Nintendo-Switch-wJoyCons-BlRd-Standing-FL.jpg 2x" data-file-width="4650" data-file-height="2700" /></a><figcaption>The X1 is the basis for the <a href="/wiki/Nintendo_Switch" title="Nintendo Switch">Nintendo Switch</a> video game console.</figcaption></figure> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:NVIDIA@20nm@TegraX1@Erista@Shield_TV@S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_(33028871972).jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/f/f5/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_%2833028871972%29.jpg/170px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_%2833028871972%29.jpg" decoding="async" width="170" height="178" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/f/f5/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_%2833028871972%29.jpg/255px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_%2833028871972%29.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/f/f5/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_%2833028871972%29.jpg/340px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_Stack-DSC00878-DSC00919_-_ZS-retouched_%2833028871972%29.jpg 2x" data-file-width="2982" data-file-height="3122" /></a><figcaption>Die shot of the Tegra X1</figcaption></figure> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:NVIDIA@20nm@TegraX1@Erista@Shield_TV@S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_(32803128780)_(cropped).jpg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/9/93/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29_%28cropped%29.jpg/170px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29_%28cropped%29.jpg" decoding="async" width="170" height="170" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/9/93/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29_%28cropped%29.jpg/255px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29_%28cropped%29.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/9/93/NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29_%28cropped%29.jpg/340px-NVIDIA%4020nm%40TegraX1%40Erista%40Shield_TV%40S_Taiwan_1517A1_NPW020.M3W_TM670D-A1_DSC00807_%2832803128780%29_%28cropped%29.jpg 2x" data-file-width="1490" data-file-height="1490" /></a><figcaption>Tegra X1 in <a href="/wiki/Nvidia_Shield_TV" title="Nvidia Shield TV">Nvidia Shield TV</a></figcaption></figure> <p>Released in 2015, Nvidia's Tegra X1 (codenamed "<a href="/wiki/Savage_Land" title="Savage Land">Erista</a>") features two CPU clusters, one with four <a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">ARM Cortex-A57</a> cores and the other with four <a href="/wiki/ARM_Cortex-A53" title="ARM Cortex-A53">ARM Cortex-A53</a> cores, as well as a <a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a>-based graphics processing unit.<sup id="cite_ref-96" class="reference"><a href="#cite_note-96"><span class="cite-bracket">&#91;</span>96<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-97" class="reference"><a href="#cite_note-97"><span class="cite-bracket">&#91;</span>97<span class="cite-bracket">&#93;</span></a></sup> It supports <a href="/wiki/Adaptive_Scalable_Texture_Compression" class="mw-redirect" title="Adaptive Scalable Texture Compression">Adaptive Scalable Texture Compression</a>.<sup id="cite_ref-gputechconf1_76-1" class="reference"><a href="#cite_note-gputechconf1-76"><span class="cite-bracket">&#91;</span>76<span class="cite-bracket">&#93;</span></a></sup> Only one cluster of cores can be active at once, with the cluster switch being handled by software on the BPMP-L. Devices utilizing the Tegra X1 have only been seen to utilize the cluster with the more powerful ARM Cortex-A57 cores. The other cluster with four ARM Cortex-A53 cores cannot be accessed without first powering down the Cortex-A57 cores (both clusters must be in the CC6 off state).<sup id="cite_ref-98" class="reference"><a href="#cite_note-98"><span class="cite-bracket">&#91;</span>98<span class="cite-bracket">&#93;</span></a></sup> Nvidia has removed the ARM Cortex-A53 cores from later versions of technical documentation, implying that they have been removed from the die.<sup id="cite_ref-99" class="reference"><a href="#cite_note-99"><span class="cite-bracket">&#91;</span>99<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-100" class="reference"><a href="#cite_note-100"><span class="cite-bracket">&#91;</span>100<span class="cite-bracket">&#93;</span></a></sup> The Tegra X1 was found to be vulnerable to a Fault Injection (FI) voltage glitching attack, which allowed for arbitrary code execution and homebrew software on the devices it was implemented in.<sup id="cite_ref-101" class="reference"><a href="#cite_note-101"><span class="cite-bracket">&#91;</span>101<span class="cite-bracket">&#93;</span></a></sup> </p><p>A revision (codenamed "<a href="/wiki/Mariko_Yashida" title="Mariko Yashida">Mariko</a>") with greater power efficiency, known officially as <b>Tegra X1+</b> was released in 2019,<sup id="cite_ref-:2_102-0" class="reference"><a href="#cite_note-:2-102"><span class="cite-bracket">&#91;</span>102<span class="cite-bracket">&#93;</span></a></sup> fixing the Fusée Gelée exploit. It's also known as T214 and T210B01. </p> <ul><li><a href="/wiki/CPU" class="mw-redirect" title="CPU">CPU</a>: ARMv8 <a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">ARM Cortex-A57</a> quad-core (64-bit) + (unused?) <a href="/wiki/ARM_Cortex-A53" title="ARM Cortex-A53">ARM Cortex-A53</a> quad-core (64-bit)</li> <li><a href="/wiki/GPU" class="mw-redirect" title="GPU">GPU</a>: <a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a>-based 256 core GPU (Jetson Nano: only 128 cores)</li> <li><a href="/wiki/MPEG-4" title="MPEG-4">MPEG-4</a> <a href="/wiki/HEVC" class="mw-redirect" title="HEVC">HEVC</a> <a href="/wiki/VP8" title="VP8">VP8</a> encoding/decoding &amp; <a href="/wiki/VP9" title="VP9">VP9</a> decoding support<sup id="cite_ref-androidpolice2015_103-0" class="reference"><a href="#cite_note-androidpolice2015-103"><span class="cite-bracket">&#91;</span>103<span class="cite-bracket">&#93;</span></a></sup> (Jetson Nano: encoders are <a href="/wiki/H.265" class="mw-redirect" title="H.265">H.265</a>, H.264/Stereo, <a href="/wiki/VP8" title="VP8">VP8</a>, <a href="/wiki/JPEG" title="JPEG">JPEG</a>; decoders are <a href="/wiki/H.265" class="mw-redirect" title="H.265">H.265</a>, H.264/Stereo, <a href="/wiki/VP8" title="VP8">VP8</a>, <a href="/wiki/VP9" title="VP9">VP9</a>, <a href="/wiki/VC-1" title="VC-1">VC-1</a>, <a href="/wiki/MPEG-2" title="MPEG-2">MPEG-2</a>, <a href="/wiki/JPEG" title="JPEG">JPEG</a>)</li> <li><a href="/wiki/TSMC" title="TSMC">TSMC</a> <a href="/wiki/20_nm_process" class="mw-redirect" title="20 nm process">20 nm process</a> for the Tegra X1</li> <li>TSMC <a href="/wiki/16_nm_process" class="mw-redirect" title="16 nm process">16 nm process</a> for the Tegra X1+.</li> <li><a href="/wiki/Thermal_design_power" title="Thermal design power">TDP</a>: <ul><li>T210: 15&#160;W,<sup id="cite_ref-104" class="reference"><a href="#cite_note-104"><span class="cite-bracket">&#91;</span>104<span class="cite-bracket">&#93;</span></a></sup> with average power consumption less than 10&#160;W<sup id="cite_ref-androidpolice2015_103-1" class="reference"><a href="#cite_note-androidpolice2015-103"><span class="cite-bracket">&#91;</span>103<span class="cite-bracket">&#93;</span></a></sup></li> <li>Jetson Nano: 10&#160;W (mode 0);<sup id="cite_ref-105" class="reference"><a href="#cite_note-105"><span class="cite-bracket">&#91;</span>105<span class="cite-bracket">&#93;</span></a></sup> mode 1: 5W (only 2 CPU cores @ 918&#160;MHz, GPU @ 640&#160;MHz)</li></ul></li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th rowspan="2">SOC Variant </th> <th rowspan="2">Process </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="5"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency<sup>1</sup> </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>2</sup> </th> <th>Frequency </th> <th>GFLOPS<br />(<a href="/wiki/Single-precision_floating-point_format" title="Single-precision floating-point format">FP32</a>) </th> <th>GFLOPS<br />(<a href="/wiki/Half-precision_floating-point_format" title="Half-precision floating-point format">FP16</a>) </th> <th>Type </th> <th>Amount<sup>3</sup> </th> <th>Bus<br />width </th> <th>Band-<br />width<sup>4</sup> </th> <th>Availability </th></tr> <tr> <td rowspan="2">T210 </td> <td>ODNX02-A2 <p>TM670D-A1 </p><p>TM670M-A2 </p><p>TM671D-A2 </p> </td> <td rowspan="2">TSMC 20&#160;nm </td> <td rowspan="2"><a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">Cortex-A57</a> +<br /><a href="/wiki/ARM_Cortex-A53" title="ARM Cortex-A53">Cortex-A53</a><sup id="cite_ref-t210trm_106-0" class="reference"><a href="#cite_note-t210trm-106"><span class="cite-bracket">&#91;</span>106<span class="cite-bracket">&#93;</span></a></sup><sup class="reference nowrap"><span title="Page / location: 753">&#58;&#8202;753&#8202;</span></sup> </td> <td rowspan="2">A57:&#160;4<br />A53:&#160;4<sup id="cite_ref-t210trm_106-1" class="reference"><a href="#cite_note-t210trm-106"><span class="cite-bracket">&#91;</span>106<span class="cite-bracket">&#93;</span></a></sup> </td> <td>A57:&#160;2.2&#160;GHz<sup id="cite_ref-107" class="reference"><a href="#cite_note-107"><span class="cite-bracket">&#91;</span>107<span class="cite-bracket">&#93;</span></a></sup><br />A53:&#160;1.3&#160;GHz </td> <td rowspan="2">GM20B<br />(<a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a>)<sup id="cite_ref-t210trm_106-2" class="reference"><a href="#cite_note-t210trm-106"><span class="cite-bracket">&#91;</span>106<span class="cite-bracket">&#93;</span></a></sup><sup class="reference nowrap"><span title="Page / location: 14">&#58;&#8202;14&#8202;</span></sup> </td> <td>256:<sup id="cite_ref-t210trm_106-3" class="reference"><a href="#cite_note-t210trm-106"><span class="cite-bracket">&#91;</span>106<span class="cite-bracket">&#93;</span></a></sup> 16:16 </td> <td>1000&#160;MHz </td> <td>512 </td> <td>1024 </td> <td><a href="/wiki/LPDDR3" class="mw-redirect" title="LPDDR3">LPDDR3</a> / <a href="/wiki/LPDDR4" class="mw-redirect" title="LPDDR4">LPDDR4</a> </td> <td>8&#160;GB<sup id="cite_ref-t210trm_106-4" class="reference"><a href="#cite_note-t210trm-106"><span class="cite-bracket">&#91;</span>106<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="3">64&#160;bit<sup id="cite_ref-t210trm_106-5" class="reference"><a href="#cite_note-t210trm-106"><span class="cite-bracket">&#91;</span>106<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2">25.6&#160;GB/s </td> <td>Q2 2015 </td></tr> <tr> <td>TM660M-A2 </td> <td>A57:&#160;1.428&#160;GHz<br />A53:&#160;?&#160;GHz </td> <td>128:16:16 </td> <td>921&#160;MHz </td> <td>236 </td> <td>472 </td> <td><a href="/wiki/LPDDR3" class="mw-redirect" title="LPDDR3">LPDDR3</a>? / <a href="/wiki/LPDDR4" class="mw-redirect" title="LPDDR4">LPDDR4</a><sup class="reference nowrap"><span title="Page / location: 773">&#58;&#8202;773&#8202;</span></sup> </td> <td>4&#160;GB </td> <td>March 2019 </td></tr> <tr> <td>T214 / T210b01 </td> <td>ODNX10-A1 <p>TM675M-A1 </p> </td> <td>TSMC 16&#160;nm </td> <td><a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">Cortex-A57</a> </td> <td>A57:&#160;4 </td> <td>A57:&#160;2.1&#160;GHz<sup id="cite_ref-108" class="reference"><a href="#cite_note-108"><span class="cite-bracket">&#91;</span>108<span class="cite-bracket">&#93;</span></a></sup> </td> <td>GM21B (<a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a>)<sup id="cite_ref-109" class="reference"><a href="#cite_note-109"><span class="cite-bracket">&#91;</span>109<span class="cite-bracket">&#93;</span></a></sup> </td> <td>256:16:16 </td> <td>1267&#160;MHz<sup id="cite_ref-110" class="reference"><a href="#cite_note-110"><span class="cite-bracket">&#91;</span>110<span class="cite-bracket">&#93;</span></a></sup> </td> <td>649 </td> <td>1298 </td> <td><a href="/wiki/LPDDR4" class="mw-redirect" title="LPDDR4">LPDDR4</a> /<a href="/wiki/LPDDR4X" class="mw-redirect" title="LPDDR4X">LPDDR4X</a> </td> <td>8&#160;GB </td> <td>34.1&#160;GB/s </td> <td>Q2 2019 </td></tr></tbody></table> <p><sup>1</sup> CPU frequency&#160;may&#160;be&#160;clocked&#160;differently&#160;than&#160;the&#160;maximum&#160;validated&#160;by&#160;Nvidia&#160;at&#160;the&#160;OEM's&#160;discretion </p><p><sup>2</sup> <a href="/wiki/Unified_shader_model" title="Unified shader model">Unified Shaders</a>&#160;: <a href="/wiki/Texture_mapping_unit" title="Texture mapping unit">Texture mapping units</a>&#160;: <a href="/wiki/Render_output_unit" title="Render output unit">Render output units</a> </p><p><sup>3</sup> Maximum&#160;validated&#160;amount&#160;of&#160;memory,&#160;implementation&#160;is&#160;board&#160;specific </p><p><sup>4</sup> Maximum&#160;validated&#160;memory&#160;bandwidth,&#160;implementation&#160;is&#160;board&#160;specific </p> <div class="mw-heading mw-heading4"><h4 id="Devices_6">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=16" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>SOC Variant </th> <th>Devices </th></tr> <tr> <td rowspan="6">T210 </td> <td>ODNX02-A2 </td> <td><a href="/wiki/Nintendo_Switch" title="Nintendo Switch">Nintendo Switch</a> (2017, HAC-001) <sup id="cite_ref-111" class="reference"><a href="#cite_note-111"><span class="cite-bracket">&#91;</span>111<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-:1_15-1" class="reference"><a href="#cite_note-:1-15"><span class="cite-bracket">&#91;</span>15<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>TM670D-A1 </td> <td>Nvidia <a href="/wiki/Shield_Android_TV" class="mw-redirect" title="Shield Android TV">Shield Android TV</a> (2015) </td></tr> <tr> <td>TM670M-A2 </td> <td>Nvidia <a href="/wiki/Shield_Android_TV" class="mw-redirect" title="Shield Android TV">Shield Android TV</a> (2017) </td></tr> <tr> <td>TM660M-A2 </td> <td>Jetson Nano 4&#160;GB, Jetson Nano 2&#160;GB </td></tr> <tr> <td>TM671D-A2 </td> <td>Google <a href="/wiki/Pixel_C" title="Pixel C">Pixel C</a> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Nvidia_Jetson" title="Nvidia Jetson">Nvidia Jetson</a> TX1 development board,<sup id="cite_ref-112" class="reference"><a href="#cite_note-112"><span class="cite-bracket">&#91;</span>112<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/Drive_PX-series" class="mw-redirect" title="Drive PX-series">Nvidia Drive CX &amp; PX</a> </td></tr> <tr> <td rowspan="2">T210b01 </td> <td>ODNX10-A1 </td> <td><a href="/wiki/Nintendo_Switch" title="Nintendo Switch">Nintendo Switch</a> (2019, HAC-001(-01)), Nintendo Switch: OLED Model (HEG-001), <a href="/wiki/Nintendo_Switch_Lite" class="mw-redirect" title="Nintendo Switch Lite">Nintendo Switch Lite</a> (HDH-001) </td></tr> <tr> <td>TM675M-A1 </td> <td>Nvidia <a href="/wiki/Shield_Android_TV" class="mw-redirect" title="Shield Android TV">Shield Android TV</a> (2019) </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Tegra_X2">Tegra X2</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=17" title="Edit section: Tegra X2"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Nvidia's Tegra X2<sup id="cite_ref-113" class="reference"><a href="#cite_note-113"><span class="cite-bracket">&#91;</span>113<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-114" class="reference"><a href="#cite_note-114"><span class="cite-bracket">&#91;</span>114<span class="cite-bracket">&#93;</span></a></sup> (codenamed "<a href="/wiki/Spider-Man" title="Spider-Man">Parker</a>") features Nvidia's own custom general-purpose ARMv8-compatible core Denver 2 as well as code-named Pascal graphics processing core with <a href="/wiki/General-purpose_computing_on_graphics_processing_units" title="General-purpose computing on graphics processing units">GPGPU</a> support.<sup id="cite_ref-115" class="reference"><a href="#cite_note-115"><span class="cite-bracket">&#91;</span>115<span class="cite-bracket">&#93;</span></a></sup> The chips are made using <a href="/wiki/FinFET" class="mw-redirect" title="FinFET">FinFET</a> process technology using <a href="/wiki/TSMC" title="TSMC">TSMC</a>'s 16&#160;nm FinFET+ manufacturing process.<sup id="cite_ref-116" class="reference"><a href="#cite_note-116"><span class="cite-bracket">&#91;</span>116<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-117" class="reference"><a href="#cite_note-117"><span class="cite-bracket">&#91;</span>117<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-118" class="reference"><a href="#cite_note-118"><span class="cite-bracket">&#91;</span>118<span class="cite-bracket">&#93;</span></a></sup> </p> <ul><li>CPU: Nvidia Denver2 ARMv8 (64-bit) dual-core + ARMv8 ARM Cortex-A57 quad-core (64-bit)</li> <li>RAM: up to 8&#160;GB <a href="/wiki/LPDDR4" class="mw-redirect" title="LPDDR4">LPDDR4</a><sup id="cite_ref-119" class="reference"><a href="#cite_note-119"><span class="cite-bracket">&#91;</span>119<span class="cite-bracket">&#93;</span></a></sup></li> <li>GPU: <a href="/wiki/Pascal_(microarchitecture)" title="Pascal (microarchitecture)">Pascal</a>-based, 256 <a href="/wiki/CUDA" title="CUDA">CUDA</a> cores; type: GP10B<sup id="cite_ref-phoronix.com_120-0" class="reference"><a href="#cite_note-phoronix.com-120"><span class="cite-bracket">&#91;</span>120<span class="cite-bracket">&#93;</span></a></sup></li> <li>TSMC 16&#160;nm, <a href="/wiki/FinFET" class="mw-redirect" title="FinFET">FinFET</a> process</li> <li>TDP: 7.5–15&#160;W<sup id="cite_ref-anand_jetsonTX2_121-0" class="reference"><a href="#cite_note-anand_jetsonTX2-121"><span class="cite-bracket">&#91;</span>121<span class="cite-bracket">&#93;</span></a></sup></li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="5"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>GFLOPS<br />(<a href="/wiki/Single-precision_floating-point_format" title="Single-precision floating-point format">FP32</a>) </th> <th>GFLOPS<br />(<a href="/wiki/Half-precision_floating-point_format" title="Half-precision floating-point format">FP16</a>) </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T186 </td> <td><a href="/wiki/Project_Denver" title="Project Denver">Denver2</a> +<br /><a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">Cortex-A57</a> </td> <td>2 + 4 </td> <td>Denver2: 1.4–2.0&#160;GHz<br />A57: 1.2–2.0&#160;GHz </td> <td>GP10B (<a href="/wiki/Pascal_(microarchitecture)" title="Pascal (microarchitecture)">Pascal</a>)<sup id="cite_ref-122" class="reference"><a href="#cite_note-122"><span class="cite-bracket">&#91;</span>122<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> </td> <td>256:16:16 (2)<sup id="cite_ref-123" class="reference"><a href="#cite_note-123"><span class="cite-bracket">&#91;</span>123<span class="cite-bracket">&#93;</span></a></sup> </td> <td>854–1465&#160;MHz </td> <td>437–750 </td> <td>874–1500 </td> <td><a href="/wiki/LPDDR4" class="mw-redirect" title="LPDDR4">LPDDR4</a> </td> <td>8 GB </td> <td>128 bit </td> <td>59.7 GB/s </td> <td> </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/Unified_shader_model" title="Unified shader model">Unified Shaders</a>&#160;: <a href="/wiki/Texture_mapping_unit" title="Texture mapping unit">Texture mapping units</a>&#160;: <a href="/wiki/Render_output_unit" title="Render output unit">Render output units</a> (SM count) </p> <div class="mw-heading mw-heading4"><h4 id="Devices_7">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=18" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th></tr> <tr> <td>T186 </td> <td><a href="/wiki/Drive_PX-series" class="mw-redirect" title="Drive PX-series">Nvidia Drive PX2 (variants)</a>,<br /><a href="/wiki/ZF_Friedrichshafen" title="ZF Friedrichshafen">ZF</a> ProAI 1.1<sup id="cite_ref-124" class="reference"><a href="#cite_note-124"><span class="cite-bracket">&#91;</span>124<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>T186 </td> <td><a href="/wiki/Nvidia_Jetson" title="Nvidia Jetson">Nvidia Jetson</a> TX2<sup id="cite_ref-anand_jetsonTX2_121-1" class="reference"><a href="#cite_note-anand_jetsonTX2-121"><span class="cite-bracket">&#91;</span>121<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Mercedes-Benz MBUX (infotainment system)<sup id="cite_ref-125" class="reference"><a href="#cite_note-125"><span class="cite-bracket">&#91;</span>125<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>1 unit along with 1 GPU semiconductor is part of the ECU for "Tesla vision" functionality in all <a href="/wiki/Tesla,_Inc." title="Tesla, Inc.">Tesla</a> vehicles since October 2016<sup id="cite_ref-126" class="reference"><a href="#cite_note-126"><span class="cite-bracket">&#91;</span>126<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-127" class="reference"><a href="#cite_note-127"><span class="cite-bracket">&#91;</span>127<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>T186 </td> <td><a href="/wiki/Magic_Leap" title="Magic Leap">Magic Leap One</a><sup id="cite_ref-128" class="reference"><a href="#cite_note-128"><span class="cite-bracket">&#91;</span>128<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-129" class="reference"><a href="#cite_note-129"><span class="cite-bracket">&#91;</span>129<span class="cite-bracket">&#93;</span></a></sup> (mixed environment glasses) </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Skydio 2 (drone)<sup id="cite_ref-130" class="reference"><a href="#cite_note-130"><span class="cite-bracket">&#91;</span>130<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Xavier">Xavier</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=19" title="Edit section: Xavier"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The Xavier Tegra SoC, named after the comic book character <a href="/wiki/Professor_X" title="Professor X">Professor X</a>, was announced on 28 September 2016, and by March 2019, it had been released.<sup id="cite_ref-131" class="reference"><a href="#cite_note-131"><span class="cite-bracket">&#91;</span>131<span class="cite-bracket">&#93;</span></a></sup> It contains 7 billion transistors and 8 custom ARMv8 cores, a Volta GPU with 512 CUDA cores, an open sourced <a href="/wiki/Tensor_processing_unit" class="mw-redirect" title="Tensor processing unit">TPU</a> (Tensor Processing Unit) called DLA (Deep Learning Accelerator).<sup id="cite_ref-132" class="reference"><a href="#cite_note-132"><span class="cite-bracket">&#91;</span>132<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-133" class="reference"><a href="#cite_note-133"><span class="cite-bracket">&#91;</span>133<span class="cite-bracket">&#93;</span></a></sup> It is able to encode and decode <a href="/wiki/8K_resolution" title="8K resolution">8K Ultra HD</a> (7680×4320). Users can configure operating modes at 10&#160;W, 15&#160;W, and 30&#160;W TDP as needed and the die size is 350&#160;mm<sup>2</sup>.<sup id="cite_ref-anand_tease_134-0" class="reference"><a href="#cite_note-anand_tease-134"><span class="cite-bracket">&#91;</span>134<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-Shapiro_135-0" class="reference"><a href="#cite_note-Shapiro-135"><span class="cite-bracket">&#91;</span>135<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-anand_keynote_136-0" class="reference"><a href="#cite_note-anand_keynote-136"><span class="cite-bracket">&#91;</span>136<span class="cite-bracket">&#93;</span></a></sup> Nvidia confirmed the fabrication process to be <a href="/w/index.php?title=12_nm&amp;action=edit&amp;redlink=1" class="new" title="12 nm (page does not exist)">12 nm</a> FinFET at CES 2018.<sup id="cite_ref-ces_2018_137-0" class="reference"><a href="#cite_note-ces_2018-137"><span class="cite-bracket">&#91;</span>137<span class="cite-bracket">&#93;</span></a></sup> </p> <ul><li>CPU: Nvidia custom Carmel ARMv8.2-A (64-bit), 8 cores 10-wide superscalar<sup id="cite_ref-138" class="reference"><a href="#cite_note-138"><span class="cite-bracket">&#91;</span>138<span class="cite-bracket">&#93;</span></a></sup></li> <li>GPU: <a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a>-based, 512 <a href="/wiki/CUDA" title="CUDA">CUDA</a> cores with 1.4 TFLOPS;<sup id="cite_ref-Nvidia_Xavier_sampling_in_Q1_18_139-0" class="reference"><a href="#cite_note-Nvidia_Xavier_sampling_in_Q1_18-139"><span class="cite-bracket">&#91;</span>139<span class="cite-bracket">&#93;</span></a></sup> type: GV11B<sup id="cite_ref-140" class="reference"><a href="#cite_note-140"><span class="cite-bracket">&#91;</span>140<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-phoronix.com_120-1" class="reference"><a href="#cite_note-phoronix.com-120"><span class="cite-bracket">&#91;</span>120<span class="cite-bracket">&#93;</span></a></sup></li> <li>TSMC <a href="/w/index.php?title=12_nm&amp;action=edit&amp;redlink=1" class="new" title="12 nm (page does not exist)">12 nm</a>, <a href="/wiki/FinFET" class="mw-redirect" title="FinFET">FinFET</a> process<sup id="cite_ref-ces_2018_137-1" class="reference"><a href="#cite_note-ces_2018-137"><span class="cite-bracket">&#91;</span>137<span class="cite-bracket">&#93;</span></a></sup></li> <li>20 TOPS DL and 160 <a href="/wiki/SPECint" title="SPECint">SPECint</a> @ 20 W;<sup id="cite_ref-anand_tease_134-1" class="reference"><a href="#cite_note-anand_tease-134"><span class="cite-bracket">&#91;</span>134<span class="cite-bracket">&#93;</span></a></sup> 30 TOPS DL @ 30 W<sup id="cite_ref-anand_keynote_136-1" class="reference"><a href="#cite_note-anand_keynote-136"><span class="cite-bracket">&#91;</span>136<span class="cite-bracket">&#93;</span></a></sup> (TOPS DL = Deep Learning Tera-Ops) <ul><li>20 TOPS DL via the GPU based tensor cores</li> <li>10 TOPS DL (INT8) via the DLA unit that shall achieve 5 TFLOPS (FP16)<sup id="cite_ref-Nvidia_Xavier_sampling_in_Q1_18_139-1" class="reference"><a href="#cite_note-Nvidia_Xavier_sampling_in_Q1_18-139"><span class="cite-bracket">&#91;</span>139<span class="cite-bracket">&#93;</span></a></sup></li></ul></li> <li>1.6 TOPS in the PVA unit (Programmable Vision Accelerator,<sup id="cite_ref-141" class="reference"><a href="#cite_note-141"><span class="cite-bracket">&#91;</span>141<span class="cite-bracket">&#93;</span></a></sup> for StereoDisparity/OpticalFlow/ImageProcessing)</li> <li>1.5 GPix/s in the ISP unit (Image Signal Processor, with native full-range HDR and tile processing support)</li> <li>Video processor for 1.2 GPix/s encoding and 1.8 GPix/s decode<sup id="cite_ref-Nvidia_Xavier_sampling_in_Q1_18_139-2" class="reference"><a href="#cite_note-Nvidia_Xavier_sampling_in_Q1_18-139"><span class="cite-bracket">&#91;</span>139<span class="cite-bracket">&#93;</span></a></sup> including 8k video support<sup id="cite_ref-Shapiro_135-1" class="reference"><a href="#cite_note-Shapiro-135"><span class="cite-bracket">&#91;</span>135<span class="cite-bracket">&#93;</span></a></sup></li> <li>MIPI-CSI-3 with 16 lanes<sup id="cite_ref-142" class="reference"><a href="#cite_note-142"><span class="cite-bracket">&#91;</span>142<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-143" class="reference"><a href="#cite_note-143"><span class="cite-bracket">&#91;</span>143<span class="cite-bracket">&#93;</span></a></sup></li> <li>1&#160;Gbit/s Ethernet</li> <li>10&#160;Gbit/s Ethernet</li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Module <p>(Model) </p> </th> <th rowspan="2">SoC Variant </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="5"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th>Deep Learning </th> <th colspan="4">Memory </th> <th>Adoption </th> <th rowspan="2"><a href="/wiki/Thermal_design_power" title="Thermal design power">TDP</a> in <a href="/wiki/Watt" title="Watt">watts</a> </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency <p>(GHz) </p> </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency <p>(MHz) </p> </th> <th>TFLOPS<br />(<a href="/wiki/Single-precision_floating-point_format" title="Single-precision floating-point format">FP32</a>) </th> <th>TFLOPS<br />(<a href="/wiki/Half-precision_floating-point_format" title="Half-precision floating-point format">FP16</a>) </th> <th>TOPS <p>(INT8) </p> </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>AGX Xavier 64&#160;GB </td> <td> </td> <td>Carmel 12&#160;MB cache </td> <td>8 </td> <td>up to 2.2 </td> <td><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td>512:64 (8, 4, 1) </td> <td>up to 1377 </td> <td>1.41 </td> <td>2.82 </td> <td>up to 32 </td> <td>LPDDR4X </td> <td>64 GB </td> <td>256-bit </td> <td>136.5 GB/s </td> <td> </td> <td>10-30 </td></tr> <tr> <td>AGX Xavier 32&#160;GB </td> <td> </td> <td>Carmel 12&#160;MB cache </td> <td>8 </td> <td>up to 2.2 </td> <td><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td>512:64 (8, 4, 1) </td> <td>up to 1377 </td> <td>1.41 </td> <td>2.82 </td> <td>up to 32 </td> <td>LPDDR4X </td> <td>32 GB </td> <td>256-bit </td> <td>136.5 GB/s </td> <td> </td> <td>10-30 </td></tr> <tr> <td>AGX Xavier Industrial </td> <td> </td> <td>Carmel 12&#160;MB cache </td> <td>8 </td> <td>up to 2 </td> <td><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td>512:64 (8, 4, 1) </td> <td>up to 1221 </td> <td>1.24 </td> <td>2.48 </td> <td>up to 30 </td> <td>LPDDR4X </td> <td>32 GB </td> <td>256-bit </td> <td>136.5 GB/s </td> <td> </td> <td>20-40 </td></tr> <tr> <td>Xavier NX 16&#160;GB </td> <td> </td> <td>Carmel 10&#160;MB cache </td> <td>6 </td> <td>up to 1.9 </td> <td><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td>384:48 (6, 3, 1) </td> <td>up to 1100 </td> <td>0.84 </td> <td>1.69 </td> <td>up to 21 </td> <td>LPDDR4X </td> <td>16 GB </td> <td>128-bit </td> <td>59.7 GB/s </td> <td> </td> <td>10-20 </td></tr> <tr> <td>Xavier NX 8&#160;GB </td> <td> </td> <td>Carmel 10&#160;MB cache </td> <td>6 </td> <td>up to 1.9 </td> <td><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td>384:48 (6, 3, 1) </td> <td>up to 1100 </td> <td>0.84 </td> <td>1.69 </td> <td>up to 21 </td> <td>LPDDR4X </td> <td>8 GB </td> <td>128-bit </td> <td>59.7 GB/s </td> <td> </td> <td>10-20 </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/CUDA" title="CUDA">CUDA cores</a>&#160;: <a href="/wiki/Tensor_Core" class="mw-redirect" title="Tensor Core">Tensor cores</a> (SMs, TPCs, GPCs) </p> <div class="mw-heading mw-heading4"><h4 id="Devices_8">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=20" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>SOC Variant </th> <th>Devices </th></tr> <tr> <td rowspan="9">T194 </td> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Drive_PX-series" class="mw-redirect" title="Drive PX-series">Nvidia Drive Xavier</a> (Drive PX-series)<sup id="cite_ref-hardwareluxx.de_144-0" class="reference"><a href="#cite_note-hardwareluxx.de-144"><span class="cite-bracket">&#91;</span>144<span class="cite-bracket">&#93;</span></a></sup><br />(formerly named <a href="/wiki/Drive_PX-series#Drive_PX_Xavier" class="mw-redirect" title="Drive PX-series">Xavier AI Car Supercomputer</a>) </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Drive_PX-series" class="mw-redirect" title="Drive PX-series">Nvidia Drive Pegasus</a> (Drive PX-series)<sup id="cite_ref-hardwareluxx.de_144-1" class="reference"><a href="#cite_note-hardwareluxx.de-144"><span class="cite-bracket">&#91;</span>144<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Nvidia Drive AGX Xavier Developer Kit<sup id="cite_ref-145" class="reference"><a href="#cite_note-145"><span class="cite-bracket">&#91;</span>145<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Nvidia Jetson AGX Xavier Developer Kit<sup id="cite_ref-Jetson_AGX_Xavier_Developer_Kit_146-0" class="reference"><a href="#cite_note-Jetson_AGX_Xavier_Developer_Kit-146"><span class="cite-bracket">&#91;</span>146<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Nvidia_Jetson" title="Nvidia Jetson">Nvidia Jetson Xavier</a><sup id="cite_ref-Jetson_AGX_Xavier_Developer_Kit_146-1" class="reference"><a href="#cite_note-Jetson_AGX_Xavier_Developer_Kit-146"><span class="cite-bracket">&#91;</span>146<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>TE860M-A2 </td> <td><a href="/wiki/Nvidia_Jetson" title="Nvidia Jetson">Nvidia Jetson Xavier NX</a><sup id="cite_ref-147" class="reference"><a href="#cite_note-147"><span class="cite-bracket">&#91;</span>147<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Nvidia Clara AGX<sup id="cite_ref-148" class="reference"><a href="#cite_note-148"><span class="cite-bracket">&#91;</span>148<span class="cite-bracket">&#93;</span></a></sup> "Clara AGX is based on NVIDIA Xavier and NVIDIA Turing GPUs."<sup id="cite_ref-149" class="reference"><a href="#cite_note-149"><span class="cite-bracket">&#91;</span>149<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Robert_Bosch_GmbH" class="mw-redirect" title="Robert Bosch GmbH">Bosch</a> and <a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> designed Self Driving System<sup id="cite_ref-150" class="reference"><a href="#cite_note-150"><span class="cite-bracket">&#91;</span>150<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/ZF_Friedrichshafen_AG" class="mw-redirect" title="ZF Friedrichshafen AG">ZF</a> ProAI<sup id="cite_ref-151" class="reference"><a href="#cite_note-151"><span class="cite-bracket">&#91;</span>151<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-152" class="reference"><a href="#cite_note-152"><span class="cite-bracket">&#91;</span>152<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <p>On the Linux Kernel Mailing List, a Tegra194 based development board with type ID "P2972-0000" got reported: <i>The board consists of the P2888 compute module and the P2822 baseboard.</i><sup id="cite_ref-153" class="reference"><a href="#cite_note-153"><span class="cite-bracket">&#91;</span>153<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Orin">Orin</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=21" title="Edit section: Orin"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Nvidia announced the next-gen SoC codename <a href="/wiki/Aquaman" title="Aquaman">Orin</a> on March 27, 2018, at GPU Technology Conference 2018.<sup id="cite_ref-154" class="reference"><a href="#cite_note-154"><span class="cite-bracket">&#91;</span>154<span class="cite-bracket">&#93;</span></a></sup> It contains 17 billion transistors and 12 ARM Hercules cores and is capable of 200 INT8 TOPs @ 65W.<sup id="cite_ref-:9_155-0" class="reference"><a href="#cite_note-:9-155"><span class="cite-bracket">&#91;</span>155<span class="cite-bracket">&#93;</span></a></sup> </p><p>The Drive AGX Orin board system family was announced on December 18, 2019, at <a href="/wiki/GPU_Technology_Conference" class="mw-redirect" title="GPU Technology Conference">GTC China 2019</a>. Nvidia has sent papers to the press documenting that the known (from Xavier series) clock and voltage scaling on the semiconductors and by pairing multiple such chips a wider range of application can be realized with the thus resulting board concepts.<sup id="cite_ref-156" class="reference"><a href="#cite_note-156"><span class="cite-bracket">&#91;</span>156<span class="cite-bracket">&#93;</span></a></sup> In early 2021, Nvidia announced the Chinese vehicle company NIO will be using an Orin-based chip in their cars.<sup id="cite_ref-157" class="reference"><a href="#cite_note-157"><span class="cite-bracket">&#91;</span>157<span class="cite-bracket">&#93;</span></a></sup> </p><p>The so far published specifications for Orin are: </p> <ul><li>CPU: 12× <a href="/wiki/ARM_Cortex-A78" title="ARM Cortex-A78">Arm Cortex-A78</a>AE (Hercules) ARMv8.2-A (64-bit)<sup id="cite_ref-158" class="reference"><a href="#cite_note-158"><span class="cite-bracket">&#91;</span>158<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-159" class="reference"><a href="#cite_note-159"><span class="cite-bracket">&#91;</span>159<span class="cite-bracket">&#93;</span></a></sup></li> <li>GPU: <a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a>-based, 2048<sup id="cite_ref-160" class="reference"><a href="#cite_note-160"><span class="cite-bracket">&#91;</span>160<span class="cite-bracket">&#93;</span></a></sup> <a href="/wiki/CUDA" title="CUDA">CUDA</a> cores and 64 tensor cores<sup>1</sup>; "with up to 131 Sparse TOPs of INT8 Tensor compute, and up to 5.32 FP32 TFLOPs of CUDA compute."<sup id="cite_ref-nvidia.com_161-0" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> <ul><li>5.3 CUDA TFLOPs (FP32)<sup id="cite_ref-servethehome.com_162-0" class="reference"><a href="#cite_note-servethehome.com-162"><span class="cite-bracket">&#91;</span>162<span class="cite-bracket">&#93;</span></a></sup></li> <li>10.6 CUDA TFLOPs (FP16)<sup id="cite_ref-servethehome.com_162-1" class="reference"><a href="#cite_note-servethehome.com-162"><span class="cite-bracket">&#91;</span>162<span class="cite-bracket">&#93;</span></a></sup></li></ul></li> <li>Samsung <a href="/wiki/10_nm_process#10_nm_process_nodes" title="10 nm process">8 nm</a> process<sup id="cite_ref-servethehome.com_162-2" class="reference"><a href="#cite_note-servethehome.com-162"><span class="cite-bracket">&#91;</span>162<span class="cite-bracket">&#93;</span></a></sup></li> <li>275 TOPS (INT8) DL<sup id="cite_ref-servethehome.com_162-3" class="reference"><a href="#cite_note-servethehome.com-162"><span class="cite-bracket">&#91;</span>162<span class="cite-bracket">&#93;</span></a></sup> <ul><li>170 TOPS DL (INT8) via the GPU</li> <li>105 TOPS DL (INT8) via the 2x <a href="/wiki/NVDLA" title="NVDLA">NVDLA</a> 2.0 units (<a href="/wiki/AI_accelerator" title="AI accelerator">DLA</a>, Deep Learning Accelerator)</li></ul></li> <li>85 TOPS DL (FP16)<sup id="cite_ref-servethehome.com_162-4" class="reference"><a href="#cite_note-servethehome.com-162"><span class="cite-bracket">&#91;</span>162<span class="cite-bracket">&#93;</span></a></sup></li> <li>5 TOPS in the PVA v2.0 unit (Programmable Vision Accelerator for Feature Tracking)</li> <li>1.85 GPix/s in the ISP unit (Image Signal Processor, with native full-range HDR and tile processing support)</li> <li>Video processor for&#160;? GPix/s encoding and&#160;? GPix/s decode</li> <li>4× 10&#160;Gbit/s Ethernet, 1× 1&#160;Gbit/s Ethernet</li></ul> <p><sup>1</sup> Orin uses the double-rate tensor cores in the A100, not the standard tensor cores in consumer Ampere GPUs. </p><p>Nvidia announced the latest member of the family, "Orin Nano" in September 2022 at the GPU Technology Conference 2022.<sup id="cite_ref-163" class="reference"><a href="#cite_note-163"><span class="cite-bracket">&#91;</span>163<span class="cite-bracket">&#93;</span></a></sup> The Orin product line now features SoC and SoM(System-On-Module) based on the core Orin design and scaled for different uses from 60W all the way down to 5W. While less is known about the exact SoC's that are being manufactured, Nvidia has publicly shared detailed technical specifications about the entire Jetson Orin SoM product line. These module specifications illustrate how Orin scales providing insight into future devices that contain an Orin derived SoC. </p> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Module <p>(Model) </p> </th> <th rowspan="2">SoC Variant </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="5"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th>Deep Learning </th> <th colspan="4">Memory </th> <th>Adoption </th> <th rowspan="2"><a href="/wiki/Thermal_design_power" title="Thermal design power">TDP</a> in <a href="/wiki/Watt" title="Watt">watts</a> </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency <p>(GHz) </p> </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency <p>(MHz) </p> </th> <th>TFLOPS<br />(<a href="/wiki/Single-precision_floating-point_format" title="Single-precision floating-point format">FP32</a>) </th> <th>TFLOPS<br />(<a href="/wiki/Half-precision_floating-point_format" title="Half-precision floating-point format">FP16</a>) </th> <th>TOPS <p>(INT8) </p> </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>AGX Orin 64&#160;GB <sup id="cite_ref-164" class="reference"><a href="#cite_note-164"><span class="cite-bracket">&#91;</span>164<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-165" class="reference"><a href="#cite_note-165"><span class="cite-bracket">&#91;</span>165<span class="cite-bracket">&#93;</span></a></sup> </td> <td> </td> <td>Cortex-A78AE 9&#160;MB cache<sup id="cite_ref-nvidia.com_161-1" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>12 </td> <td>up to 2.2<sup id="cite_ref-nvidia.com_161-2" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>2048:64:8 (16, 8, 2)<sup id="cite_ref-nvidia.com_161-3" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 1300<sup id="cite_ref-nvidia.com_161-4" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>5.32<sup id="cite_ref-nvidia.com_161-5" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>10.649 </td> <td>up to 275<sup id="cite_ref-nvidia.com_161-6" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5 </td> <td>64 GB </td> <td>256-bit </td> <td>204.8 GB/s<sup id="cite_ref-nvidia.com_161-7" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Sample 2021, Kit Q1 2022, Prod Dec 2022<sup id="cite_ref-2022_Orin_Spec_166-0" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>15-60<sup id="cite_ref-nvidia.com_161-8" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>AGX Orin 32&#160;GB<sup id="cite_ref-2022_Orin_Spec_166-1" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td> </td> <td>Cortex-A78AE 6&#160;MB cache<sup id="cite_ref-2022_Orin_Spec_166-2" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>8 </td> <td>up to 2.2<sup id="cite_ref-2022_Orin_Spec_166-3" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>1792:56:7 (14, 7, 2)<sup id="cite_ref-2022_Orin_Spec_166-4" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 930<sup id="cite_ref-2022_Orin_Spec_166-5" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>3.365<sup id="cite_ref-nvidia.com_161-9" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>6.73 </td> <td>up to 200<sup id="cite_ref-2022_Orin_Spec_166-6" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5 </td> <td>32 GB<sup id="cite_ref-2022_Orin_Spec_166-7" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>256-bit<sup id="cite_ref-2022_Orin_Spec_166-8" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>204.8 GB/s<sup id="cite_ref-2022_Orin_Spec_166-9" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Oct 2022<sup id="cite_ref-2022_Orin_Spec_166-10" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>15-40<sup id="cite_ref-2022_Orin_Spec_166-11" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>Orin NX 16&#160;GB<sup id="cite_ref-nvidia.com_Orin_NX_167-0" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>TE980-M<sup id="cite_ref-:3_168-0" class="reference"><a href="#cite_note-:3-168"><span class="cite-bracket">&#91;</span>168<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Cortex-A78AE 6&#160;MB cache<sup id="cite_ref-nvidia.com_Orin_NX_167-1" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>8 </td> <td>up to 2<sup id="cite_ref-nvidia.com_Orin_NX_167-2" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>1024:32:4 (8, 4, 1)<sup id="cite_ref-nvidia.com_Orin_NX_167-3" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 918<sup id="cite_ref-nvidia.com_Orin_NX_167-4" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>1.88 </td> <td>3.76 </td> <td>up to 100<sup id="cite_ref-nvidia.com_Orin_NX_167-5" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5 </td> <td>16 GB<sup id="cite_ref-nvidia.com_Orin_NX_167-6" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>128-bit<sup id="cite_ref-nvidia.com_Orin_NX_167-7" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>102.4 GB/s<sup id="cite_ref-nvidia.com_Orin_NX_167-8" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Dec 2022<sup id="cite_ref-nvidia.com_Orin_NX_167-9" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>10-25<sup id="cite_ref-nvidia.com_Orin_NX_167-10" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>Orin NX 8&#160;GB<sup id="cite_ref-2022_Orin_Spec_166-12" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>TE980-M<sup id="cite_ref-:3_168-1" class="reference"><a href="#cite_note-:3-168"><span class="cite-bracket">&#91;</span>168<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Cortex-A78AE 5.5&#160;MB cache<sup id="cite_ref-2022_Orin_Spec_166-13" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>6 </td> <td>up to 2<sup id="cite_ref-2022_Orin_Spec_166-14" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>1024:32:4 (8, 4, 1)<sup id="cite_ref-2022_Orin_Spec_166-15" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 765<sup id="cite_ref-2022_Orin_Spec_166-16" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>1.57 </td> <td>3.13 </td> <td>up to 70<sup id="cite_ref-2022_Orin_Spec_166-17" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5 </td> <td>8 GB<sup id="cite_ref-2022_Orin_Spec_166-18" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>128-bit<sup id="cite_ref-2022_Orin_Spec_166-19" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>102.4 GB/s<sup id="cite_ref-2022_Orin_Spec_166-20" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Jan 2023<sup id="cite_ref-2022_Orin_Spec_166-21" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>10-20<sup id="cite_ref-2022_Orin_Spec_166-22" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>Orin Nano 8&#160;GB<sup id="cite_ref-2022_Orin_Spec_166-23" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td> </td> <td>Cortex-A78AE 5.5&#160;MB cache<sup id="cite_ref-2022_Orin_Spec_166-24" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>6 </td> <td>up to 1.5<sup id="cite_ref-2022_Orin_Spec_166-25" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>1024:32:4 (8, 4, 1)<sup id="cite_ref-2022_Orin_Spec_166-26" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 625<sup id="cite_ref-2022_Orin_Spec_166-27" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>1.28 </td> <td>2.56 </td> <td>up to 40<sup id="cite_ref-2022_Orin_Spec_166-28" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5 </td> <td>8 GB<sup id="cite_ref-2022_Orin_Spec_166-29" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>128-bit<sup id="cite_ref-2022_Orin_Spec_166-30" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>68 GB/s<sup id="cite_ref-2022_Orin_Spec_166-31" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Jan 2023<sup id="cite_ref-2022_Orin_Spec_166-32" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>7-15<sup id="cite_ref-2022_Orin_Spec_166-33" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td></tr> <tr> <td>Orin Nano 4&#160;GB<sup id="cite_ref-2022_Orin_Spec_166-34" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td> </td> <td>Cortex-A78AE 5.5&#160;MB cache<sup id="cite_ref-2022_Orin_Spec_166-35" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>6 </td> <td>up to 1.5<sup id="cite_ref-2022_Orin_Spec_166-36" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>512:16:2 (4, 2, 1)<sup id="cite_ref-2022_Orin_Spec_166-37" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>up to 625<sup id="cite_ref-2022_Orin_Spec_166-38" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>0.64 </td> <td>1.28 </td> <td>up to 20<sup id="cite_ref-2022_Orin_Spec_166-39" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5 </td> <td>4 GB<sup id="cite_ref-2022_Orin_Spec_166-40" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>64-bit<sup id="cite_ref-2022_Orin_Spec_166-41" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>34 GB/s<sup id="cite_ref-2022_Orin_Spec_166-42" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Jan 2023<sup id="cite_ref-2022_Orin_Spec_166-43" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td> <td>5-10<sup id="cite_ref-2022_Orin_Spec_166-44" class="reference"><a href="#cite_note-2022_Orin_Spec-166"><span class="cite-bracket">&#91;</span>166<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <p><sup>1</sup> <a href="/wiki/CUDA" title="CUDA">CUDA cores</a>&#160;: <a href="/wiki/Tensor_Core" class="mw-redirect" title="Tensor Core">Tensor cores</a>&#160;: <a href="/wiki/Nvidia_RTX" title="Nvidia RTX">RT cores</a> (SMs, TPCs, GPCs) </p> <div class="mw-heading mw-heading4"><h4 id="Devices_9">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=22" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <tbody><tr> <th>Model </th> <th>Devices </th> <th>Comments </th></tr> <tr> <td>T234<sup id="cite_ref-169" class="reference"><a href="#cite_note-169"><span class="cite-bracket">&#91;</span>169<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Nvidia Jetson AGX Orin<sup id="cite_ref-170" class="reference"><a href="#cite_note-170"><span class="cite-bracket">&#91;</span>170<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-nvidia.com_161-10" class="reference"><a href="#cite_note-nvidia.com-161"><span class="cite-bracket">&#91;</span>161<span class="cite-bracket">&#93;</span></a></sup> </td> <td>comes in 32&#160;GB and 64&#160;GB RAM configurations, available as standalone module or devkit; <p>intended for industrial robotics and/or embedded HPC applications </p> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Nvidia Jetson Orin NX<sup id="cite_ref-nvidia.com_Orin_NX_167-11" class="reference"><a href="#cite_note-nvidia.com_Orin_NX-167"><span class="cite-bracket">&#91;</span>167<span class="cite-bracket">&#93;</span></a></sup> </td> <td>mid-power SODIMM-form factor Orin-series module, available only as standalone module; <p>pin-compatible with Xavier NX carrier </p> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td>Nvidia Jetson Orin Nano<sup id="cite_ref-nvidia.com_Jetson_Orin_171-0" class="reference"><a href="#cite_note-nvidia.com_Jetson_Orin-171"><span class="cite-bracket">&#91;</span>171<span class="cite-bracket">&#93;</span></a></sup> </td> <td>low-power, cost-effective SODIMM-form factor Orin-series module, available as standalone module or devkit; <p>intended for entry-level usage </p> </td></tr> <tr> <td style="background: var(--background-color-interactive, #EEE); color: var(--color-base, black); vertical-align: middle; white-space: nowrap; text-align: center;" class="table-Un­known">Un­known </td> <td><a href="/wiki/Nio_Inc." title="Nio Inc.">Nio</a> Adam<sup id="cite_ref-172" class="reference"><a href="#cite_note-172"><span class="cite-bracket">&#91;</span>172<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-173" class="reference"><a href="#cite_note-173"><span class="cite-bracket">&#91;</span>173<span class="cite-bracket">&#93;</span></a></sup> </td> <td>built from 4x Nvidia Drive Orin, totals to 48 CPU cores and 8,192 CUDA cores;<br />for use in vehicles ET7 in March 2022 and ET5 in September 2022 </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Grace">Grace</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=23" title="Edit section: Grace"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The <a href="/wiki/Grace_Hopper" title="Grace Hopper">Grace</a> CPU is an NVIDIA-developed ARM Neoverse CPU platform, targeted at large-scale AI and HPC applications, available within several NVIDIA products. The NVIDIA OVX platform combines the Grace Superchip (two Grace dies on one board) with desktop NVIDIA GPUs in a server form-factor, while the NVIDIA HGX platform is available with either the Grace Superchip or the Grace Hopper Superchip.<sup id="cite_ref-174" class="reference"><a href="#cite_note-174"><span class="cite-bracket">&#91;</span>174<span class="cite-bracket">&#93;</span></a></sup> The latter is an HPC platform in of itself, combining a Grace CPU with a <a href="/wiki/Hopper_(microarchitecture)" title="Hopper (microarchitecture)">Hopper</a>-based GPU, announced by NVIDIA on March 22, 2022.<sup id="cite_ref-175" class="reference"><a href="#cite_note-175"><span class="cite-bracket">&#91;</span>175<span class="cite-bracket">&#93;</span></a></sup> Kernel patchsets indicate that a single Grace CPU is also known as T241, placing it under the Tegra SoC branding, despite the chip itself not including a GPU (a referenced T241 patchset cites impact to "NVIDIA server platforms that use more than two T241 chips...interconnected," pointing to the Grace Superchip design).<sup id="cite_ref-:4_176-0" class="reference"><a href="#cite_note-:4-176"><span class="cite-bracket">&#91;</span>176<span class="cite-bracket">&#93;</span></a></sup> </p> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="5"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Cache </th> <th>TFLOPS <p>(FP64) </p> </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T241<sup id="cite_ref-177" class="reference"><a href="#cite_note-177"><span class="cite-bracket">&#91;</span>177<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Grace </td> <td>72 <a href="/wiki/ARM_Neoverse" title="ARM Neoverse">ARM Neoverse</a> V2 Cores (<a href="/wiki/ARMv9" class="mw-redirect" title="ARMv9">ARMv9</a>)<sup id="cite_ref-:5_178-0" class="reference"><a href="#cite_note-:5-178"><span class="cite-bracket">&#91;</span>178<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>L1: 64&#160;KB I-cache + 64&#160;KB D-cache per core <p>L2: 1&#160;MB per core L3: 117&#160;MB shared<sup id="cite_ref-:5_178-1" class="reference"><a href="#cite_note-:5-178"><span class="cite-bracket">&#91;</span>178<span class="cite-bracket">&#93;</span></a></sup> </p> </td> <td>3.55<sup>1</sup><sup id="cite_ref-:5_178-2" class="reference"><a href="#cite_note-:5-178"><span class="cite-bracket">&#91;</span>178<span class="cite-bracket">&#93;</span></a></sup> </td> <td>LPDDR5X ECC<sup id="cite_ref-:5_178-3" class="reference"><a href="#cite_note-:5-178"><span class="cite-bracket">&#91;</span>178<span class="cite-bracket">&#93;</span></a></sup> </td> <td>Up to 480&#160;GB<sup>1</sup><sup id="cite_ref-:5_178-4" class="reference"><a href="#cite_note-:5-178"><span class="cite-bracket">&#91;</span>178<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>500 GB/s<sup id="cite_ref-:5_178-5" class="reference"><a href="#cite_note-:5-178"><span class="cite-bracket">&#91;</span>178<span class="cite-bracket">&#93;</span></a></sup> </td> <td>H2 2023<sup id="cite_ref-179" class="reference"><a href="#cite_note-179"><span class="cite-bracket">&#91;</span>179<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <p><sup>1</sup>Figures cut in half from full Grace Superchip specification </p> <div class="mw-heading mw-heading3"><h3 id="Atlan">Atlan</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=24" title="Edit section: Atlan"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Nvidia announced the next-gen SoC codename <a href="/wiki/Atlan_(DC_Comics)" class="mw-redirect" title="Atlan (DC Comics)">Atlan</a> on April 12, 2021, at GPU Technology Conference 2021.<sup id="cite_ref-180" class="reference"><a href="#cite_note-180"><span class="cite-bracket">&#91;</span>180<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-181" class="reference"><a href="#cite_note-181"><span class="cite-bracket">&#91;</span>181<span class="cite-bracket">&#93;</span></a></sup> </p><p>Nvidia announced the cancellation of Atlan on September 20, 2022, and their next SoC will be Thor.<sup id="cite_ref-NVIDIA_Unveils_DRIVE_Thor_—_Central_182-0" class="reference"><a href="#cite_note-NVIDIA_Unveils_DRIVE_Thor_—_Central-182"><span class="cite-bracket">&#91;</span>182<span class="cite-bracket">&#93;</span></a></sup> </p><p>Functional units known so far are: </p> <ul><li>Grace Next CPU<sup id="cite_ref-NVIDIA_Unveils_NVIDIA_DRIVE_Atlan_183-0" class="reference"><a href="#cite_note-NVIDIA_Unveils_NVIDIA_DRIVE_Atlan-183"><span class="cite-bracket">&#91;</span>183<span class="cite-bracket">&#93;</span></a></sup></li> <li>Ada Lovelace GPU<sup id="cite_ref-184" class="reference"><a href="#cite_note-184"><span class="cite-bracket">&#91;</span>184<span class="cite-bracket">&#93;</span></a></sup></li> <li>Bluefield DPU (Data Processing Unit)</li> <li>other Accelerators</li> <li>Security Engine</li> <li>Functional Safety Island</li> <li>On-Chip-Memory</li> <li>External Memory Interface(s)</li> <li>High-Speed-IO Interfaces</li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="5"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th>Deep Learning </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>GFLOPS<br />(<a href="/wiki/Single-precision_floating-point_format" title="Single-precision floating-point format">FP32</a>) </th> <th>GFLOPS<br />(<a href="/wiki/Half-precision_floating-point_format" title="Half-precision floating-point format">FP16</a>) </th> <th>TOPS <p>(INT8) </p> </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T254? </td> <td>Grace-Next<sup id="cite_ref-NVIDIA_Unveils_NVIDIA_DRIVE_Atlan_183-1" class="reference"><a href="#cite_note-NVIDIA_Unveils_NVIDIA_DRIVE_Atlan-183"><span class="cite-bracket">&#91;</span>183<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>? </td> <td>Ada Lovelace<sup id="cite_ref-185" class="reference"><a href="#cite_note-185"><span class="cite-bracket">&#91;</span>185<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>? </td> <td>? </td> <td>? </td> <td>&gt;1000<sup id="cite_ref-186" class="reference"><a href="#cite_note-186"><span class="cite-bracket">&#91;</span>186<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>? </td> <td>? </td> <td>? </td> <td>Cancelled<sup id="cite_ref-187" class="reference"><a href="#cite_note-187"><span class="cite-bracket">&#91;</span>187<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading3"><h3 id="Thor">Thor</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=25" title="Edit section: Thor"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Nvidia announced the next-gen SoC codename Thor on September 20, 2022, at GPU Technology Conference 2022, replacing the cancelled Atlan.<sup id="cite_ref-NVIDIA_Unveils_DRIVE_Thor_—_Central_182-1" class="reference"><a href="#cite_note-NVIDIA_Unveils_DRIVE_Thor_—_Central-182"><span class="cite-bracket">&#91;</span>182<span class="cite-bracket">&#93;</span></a></sup> A patchset adding support for Tegra264 to mainline Linux was submitted May 5, 2023, likely indicating initial support for Thor.<sup id="cite_ref-188" class="reference"><a href="#cite_note-188"><span class="cite-bracket">&#91;</span>188<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading4"><h4 id="Devices_10">Devices</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=26" title="Edit section: Devices"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><a href="/wiki/DRIVE_Thor" class="mw-redirect" title="DRIVE Thor">Nvidia DRIVE Thor</a><sup id="cite_ref-NVIDIA_Unveils_DRIVE_Thor_—_Central_182-2" class="reference"><a href="#cite_note-NVIDIA_Unveils_DRIVE_Thor_—_Central-182"><span class="cite-bracket">&#91;</span>182<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-189" class="reference"><a href="#cite_note-189"><span class="cite-bracket">&#91;</span>189<span class="cite-bracket">&#93;</span></a></sup></li> <li>Jetson AGX Thor<sup id="cite_ref-190" class="reference"><a href="#cite_note-190"><span class="cite-bracket">&#91;</span>190<span class="cite-bracket">&#93;</span></a></sup></li></ul> <table class="wikitable" style="text-align:center;"> <tbody><tr> <th rowspan="2">Model<br />number </th> <th colspan="3"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPU</a> </th> <th colspan="5"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">GPU</a> </th> <th>Deep Learning </th> <th colspan="4">Memory </th> <th>Adoption </th></tr> <tr> <th>Processor </th> <th>Cores </th> <th>Frequency </th> <th>Micro-<br />architecture </th> <th>Core<br />configuration<sup>1</sup> </th> <th>Frequency </th> <th>GFLOPS<br />(<a href="/wiki/Single-precision_floating-point_format" title="Single-precision floating-point format">FP32</a>) </th> <th>GFLOPS<br />(<a href="/wiki/Half-precision_floating-point_format" title="Half-precision floating-point format">FP16</a>) </th> <th>TOPS <p>(FP8) </p> </th> <th>Type </th> <th>Amount </th> <th>Bus<br />width </th> <th>Band-<br />width </th> <th>Availability </th></tr> <tr> <td>T264? </td> <td>Arm Neoverse V3AE<sup id="cite_ref-191" class="reference"><a href="#cite_note-191"><span class="cite-bracket">&#91;</span>191<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>? </td> <td><a href="/wiki/Blackwell_(microarchitecture)" title="Blackwell (microarchitecture)">Blackwell</a> </td> <td>? </td> <td>? </td> <td>? </td> <td>? </td> <td>2000<sup id="cite_ref-NVIDIA_Unveils_DRIVE_Thor_—_Central_182-3" class="reference"><a href="#cite_note-NVIDIA_Unveils_DRIVE_Thor_—_Central-182"><span class="cite-bracket">&#91;</span>182<span class="cite-bracket">&#93;</span></a></sup> </td> <td>? </td> <td>128 GB </td> <td>? </td> <td>? </td> <td>2025<sup id="cite_ref-NVIDIA_Unveils_DRIVE_Thor_—_Central_182-4" class="reference"><a href="#cite_note-NVIDIA_Unveils_DRIVE_Thor_—_Central-182"><span class="cite-bracket">&#91;</span>182<span class="cite-bracket">&#93;</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading2"><h2 id="Comparison">Comparison</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=27" title="Edit section: Comparison"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable"> <caption> </caption> <tbody><tr> <th colspan="2">Generation </th> <th>Tegra 2 </th> <th>Tegra 3 </th> <th>Tegra 4 </th> <th>Tegra 4i </th> <th colspan="2">Tegra K1 </th> <th>Tegra X1 </th> <th>Tegra X1+ </th> <th>Tegra X2 </th> <th>Xavier </th> <th>Orin </th> <th>Thor </th></tr> <tr> <th rowspan="5">CPU </th> <th>Instruction set </th> <td colspan="5" style="text-align:center;"><a href="/wiki/ARMv7" class="mw-redirect" title="ARMv7">ARMv7&#8209;A</a> (32&#8209;bit) </td> <td colspan="4" style="text-align:center;"><a href="/wiki/ARMv8" class="mw-redirect" title="ARMv8">ARMv8&#8209;A</a> (64&#8209;bit) </td> <td colspan="2" style="text-align:center;"><a href="/wiki/ARMv8" class="mw-redirect" title="ARMv8">ARMv8.2&#8209;A</a> (64&#8209;bit) </td> <td style="text-align:center;"><a href="/wiki/ARMv9" class="mw-redirect" title="ARMv9">ARMv9.2&#8209;A</a> (64&#8209;bit) </td></tr> <tr> <th>Cores </th> <td>2 <a href="/wiki/ARM_Cortex-A9" title="ARM Cortex-A9">A9</a> </td> <td>4+1 <a href="/wiki/ARM_Cortex-A9" title="ARM Cortex-A9">A9</a> </td> <td>4+1 <a href="/wiki/ARM_Cortex-A15" title="ARM Cortex-A15">A15</a> </td> <td>4+1 <a href="/wiki/ARM_Cortex-A9" title="ARM Cortex-A9">A9</a> </td> <td>4+1 <a href="/wiki/ARM_Cortex-A15" title="ARM Cortex-A15">A15</a> </td> <td>2 <a href="/wiki/Project_Denver" title="Project Denver">Denver</a> </td> <td colspan="2">4 <a href="/wiki/Cortex-A53" class="mw-redirect" title="Cortex-A53">A53</a> (disabled) +<br />4 <a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">A57</a> </td> <td>2 <a href="/wiki/Project_Denver" title="Project Denver">Denver2</a> + 4 <a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">A57</a> </td> <td>8 <a href="/wiki/Nvidia_Carmel" class="mw-redirect" title="Nvidia Carmel">Carmel</a> </td> <td>12 <a href="/wiki/ARM_Cortex-A78" title="ARM Cortex-A78">A78</a>AE </td> <td><a href="/wiki/ARM_Neoverse" title="ARM Neoverse">Neoverse</a> V3AE </td></tr> <tr> <th>L1 cache (I/D) </th> <td colspan="5">32/32&#160;KB </td> <td>128/64&#160;KB </td> <td colspan="2">32/32&#160;KB + 64/32&#160;KB </td> <td>128/64&#160;KB&#160;+ 48/32&#160;KB </td> <td>128/64&#160;KB </td> <td colspan="2">64/64&#160;KB </td></tr> <tr> <th>L2 cache </th> <td colspan="2">1 MB </td> <td colspan="4">2 MB </td> <td colspan="2">128 KB + 2&#160;MB </td> <td>2&#160;MB&#160;+&#160;2&#160;MB </td> <td>8 MB </td> <td>3 MB </td> <td colspan="1" style="text-align:center;">? </td></tr> <tr> <th>L3 cache </th> <td colspan="9">N/A </td> <td>4 MB </td> <td>6 MB </td> <td colspan="2" style="text-align:center;">? </td></tr> <tr> <th rowspan="4">GPU </th> <th>Architecture </th> <td colspan="4">Vec4 </td> <td colspan="2"><a href="/wiki/Kepler_(microarchitecture)" title="Kepler (microarchitecture)">Kepler</a> </td> <td colspan="2"><a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a> </td> <td><a href="/wiki/Pascal_(microarchitecture)" title="Pascal (microarchitecture)">Pascal</a> </td> <td><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td><a href="/wiki/Blackwell_(microarchitecture)" title="Blackwell (microarchitecture)">Blackwell</a> </td></tr> <tr> <th>CUDA cores </th> <td>4+4* </td> <td>8+4* </td> <td>48+24* </td> <td>48+12* </td> <td colspan="2">192 </td> <td colspan="3">256 </td> <td>512 </td> <td>2048 </td> <td>? </td></tr> <tr> <th>Tensor cores </th> <td colspan="9">N/A </td> <td colspan="2">64 </td> <td>? </td></tr> <tr> <th>RT cores </th> <td colspan="10">N/A </td> <td>8 </td> <td>? </td></tr> <tr> <th rowspan="3">RAM </th> <th>Protocol </th> <td>DDR2/LPDDR2 </td> <td>DDR3/LPDDR2 </td> <td colspan="4">DDR3/LPDDR3 </td> <td>LPDDR3/LPDDR4 </td> <td colspan="3">LPDDR4/LPDDR4X </td> <td>LPDDR5 </td> <td>? </td></tr> <tr> <th>Max. size </th> <td>1&#160;GB </td> <td>2&#160;GB </td> <td colspan="2">4&#160;GB </td> <td colspan="5">8&#160;GB </td> <td colspan="2">64&#160;GB </td> <td>128&#160;GB </td></tr> <tr> <th>Bandwidth </th> <td>2.7 GB/s </td> <td colspan="2">6.4 GB/s </td> <td>7.5 GB/s </td> <td colspan="2">14.88 GB/s </td> <td>25.6 GB/s </td> <td>34.1 GB/s </td> <td>59.7 GB/s </td> <td>136.5 GB/s </td> <td>204.8 GB/s </td> <td>? </td></tr> <tr> <th colspan="2">Process </th> <td colspan="2">40&#160;nm </td> <td colspan="4">28&#160;nm </td> <td>20&#160;nm </td> <td colspan="2">16&#160;nm </td> <td>12&#160;nm </td> <td>8&#160;nm </td> <td>4&#160;nm </td></tr></tbody></table> <p>* <a href="/wiki/VLIW" class="mw-redirect" title="VLIW">VLIW</a>-based Vec4: <a href="/wiki/Pixel_shader" class="mw-redirect" title="Pixel shader">Pixel shaders</a> + <a href="/wiki/Vertex_shader" class="mw-redirect" title="Vertex shader">Vertex shaders</a>. Since Kepler, Unified shaders are used. </p> <div class="mw-heading mw-heading2"><h2 id="Software_support">Software support</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=28" title="Edit section: Software support"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="mw-heading mw-heading3"><h3 id="FreeBSD">FreeBSD</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=29" title="Edit section: FreeBSD"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p><a href="/wiki/FreeBSD" title="FreeBSD">FreeBSD</a> supports a number of different Tegra models and generations, ranging from Tegra K1,<sup id="cite_ref-192" class="reference"><a href="#cite_note-192"><span class="cite-bracket">&#91;</span>192<span class="cite-bracket">&#93;</span></a></sup> to Tegra 210.<sup id="cite_ref-193" class="reference"><a href="#cite_note-193"><span class="cite-bracket">&#91;</span>193<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Linux">Linux</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=30" title="Edit section: Linux"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Nvidia distributes proprietary device drivers for Tegra through <a href="/wiki/OEM" class="mw-redirect" title="OEM">OEMs</a> and as part of its "Linux for Tegra" (formerly "L4T") development kit, also Nvidia provides JetPack SDK with "Linux for Tegra" and other tools with it. The newer and more powerful devices of the Tegra family are now supported by Nvidia's own <a href="/wiki/Vibrante" title="Vibrante">Vibrante</a> Linux distribution. Vibrante comes with a larger set of Linux tools plus several Nvidia provided libraries for acceleration in the area of data processing and especially image processing for driving safety and automated driving up to the level of <a href="/wiki/Deep_learning" title="Deep learning">deep learning</a> and neuronal networks that make e.g. heavy use of the CUDA capable accelerator blocks, and via <a href="/wiki/OpenCV" title="OpenCV">OpenCV</a> can make use of the <a href="/wiki/ARM_architecture#Advanced_SIMD_(NEON)" class="mw-redirect" title="ARM architecture">NEON</a> vector extensions of the ARM cores. </p><p>As of April 2012<sup class="plainlinks noexcerpt noprint asof-tag update" style="display:none;"><a class="external text" href="https://en.wikipedia.org/w/index.php?title=Tegra&amp;action=edit">&#91;update&#93;</a></sup>, due to different "business needs" from that of their <a href="/wiki/GeForce" title="GeForce">GeForce</a> line of graphics cards, Nvidia and one of their Embedded Partners, Avionic Design GmbH from Germany, are also working on submitting <a href="/wiki/Open-source_software" title="Open-source software">open-source</a> drivers for Tegra upstream to the mainline <a href="/wiki/Linux_kernel" title="Linux kernel">Linux kernel</a>.<sup id="cite_ref-194" class="reference"><a href="#cite_note-194"><span class="cite-bracket">&#91;</span>194<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-195" class="reference"><a href="#cite_note-195"><span class="cite-bracket">&#91;</span>195<span class="cite-bracket">&#93;</span></a></sup> Nvidia co-founder &amp; CEO laid out the Tegra processor roadmap using Ubuntu Unity in <a href="/wiki/GPU_Technology_Conference" class="mw-redirect" title="GPU Technology Conference">GPU Technology Conference</a> 2013.<sup id="cite_ref-196" class="reference"><a href="#cite_note-196"><span class="cite-bracket">&#91;</span>196<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> </p><p>By end of 2018 it is evident that Nvidia employees have contributed substantial code parts to make the T186 and T194 models run for HDMI display and audio with the upcoming official Linux kernel 4.21 in about Q1 2019. The affected software modules are the open source Nouveau and the closed source Nvidia graphics drivers along with the Nvidia proprietary CUDA interface.<sup id="cite_ref-197" class="reference"><a href="#cite_note-197"><span class="cite-bracket">&#91;</span>197<span class="cite-bracket">&#93;</span></a></sup><sup class="noprint Inline-Template" style="white-space:nowrap;">&#91;<i><a href="/wiki/Wikipedia:Reliable_sources" title="Wikipedia:Reliable sources"><span title="The material near this tag may rely on an unreliable source. (February 2021)">unreliable source?</span></a></i>&#93;</sup> </p><p>As of May, 2022, NVIDIA has open-sourced their GPU kernel modules for both Jetson and desktop platforms, allowing all but proprietary userspace libraries to be open-source on Tegra platforms with official NVIDIA drivers starting with T234 (Orin).<sup id="cite_ref-198" class="reference"><a href="#cite_note-198"><span class="cite-bracket">&#91;</span>198<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="QNX">QNX</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=31" title="Edit section: QNX"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The Drive PX2 board was announced with <a href="/wiki/QNX" title="QNX">QNX</a> RTOS support at the April 2016 GPU Technology Conference.<sup id="cite_ref-199" class="reference"><a href="#cite_note-199"><span class="cite-bracket">&#91;</span>199<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Similar_platforms">Similar platforms</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=32" title="Edit section: Similar platforms"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>SoCs and platforms with comparable specifications (e.g. audio/video input, output and processing capability, connectivity, programmability, entertainment/embedded/automotive capabilities &amp; certifications, power consumption) are: </p> <style data-mw-deduplicate="TemplateStyles:r1184024115">.mw-parser-output .div-col{margin-top:0.3em;column-width:30em}.mw-parser-output .div-col-small{font-size:90%}.mw-parser-output .div-col-rules{column-rule:1px solid #aaa}.mw-parser-output .div-col dl,.mw-parser-output .div-col ol,.mw-parser-output .div-col ul{margin-top:0}.mw-parser-output .div-col li,.mw-parser-output .div-col dd{page-break-inside:avoid;break-inside:avoid-column}</style><div class="div-col" style="column-width: 22em;"> <ul><li><a href="/wiki/Allwinner_A31" class="mw-redirect" title="Allwinner A31">A-Series</a> by <a href="/wiki/Allwinner_Technology" title="Allwinner Technology">AllWinner</a></li> <li><a href="/wiki/Apple_silicon" title="Apple silicon">Apple silicon</a> by <a href="/wiki/Apple_Inc." title="Apple Inc.">Apple</a></li> <li><a href="/wiki/Atom_(system_on_chip)" class="mw-redirect" title="Atom (system on chip)">Atom</a> by <a href="/wiki/Intel" title="Intel">Intel</a></li> <li><a href="/wiki/Exynos" title="Exynos">Exynos</a> by <a href="/wiki/Samsung" title="Samsung">Samsung</a></li> <li><a href="/wiki/I.MX" title="I.MX">i.MX</a> by <a href="/wiki/Freescale_Semiconductor" title="Freescale Semiconductor">Freescale Semiconductor</a></li> <li><a href="/wiki/Jaguar_(microarchitecture)" title="Jaguar (microarchitecture)">Jaguar</a> and <a href="/wiki/Puma_(microarchitecture)" title="Puma (microarchitecture)">Puma</a> by <a href="/wiki/AMD" title="AMD">AMD</a></li> <li>K3Vx/Kirin by <a href="/wiki/HiSilicon" title="HiSilicon">HiSilicon</a></li> <li><a href="/wiki/MediaTek#Smartphone_application_&amp;_modem_processors_/_SoCs" title="MediaTek">MTxxxx</a> by <a href="/wiki/MediaTek" title="MediaTek">MediaTek</a></li> <li><a href="/wiki/NovaThor" title="NovaThor">NovaThor</a> by <a href="/wiki/ST-Ericsson" title="ST-Ericsson">ST-Ericsson</a></li> <li>OCTEON by <a href="/wiki/Cavium" title="Cavium">Cavium</a></li> <li><a href="/wiki/OMAP" title="OMAP">OMAP</a> / <a href="/wiki/Sitara_ARM_Processor" class="mw-redirect" title="Sitara ARM Processor">Sitara ARM Processor</a> by <a href="/wiki/Texas_Instruments" title="Texas Instruments">Texas Instruments</a></li> <li><a href="/wiki/Qualcomm_Snapdragon" title="Qualcomm Snapdragon">Qualcomm Snapdragon</a></li> <li>R-Car by <a href="/wiki/Renesas" class="mw-redirect" title="Renesas">Renesas</a></li> <li><a href="/wiki/Rockchip#RK30xx_series" title="Rockchip">RK3xxx</a> by <a href="/wiki/Rockchip" title="Rockchip">Rockchip</a></li> <li><a href="/wiki/VideoCore" title="VideoCore">VideoCore</a> by <a href="/wiki/Broadcom" title="Broadcom">Broadcom</a></li></ul></div> <div class="mw-heading mw-heading2"><h2 id="See_also">See also</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=33" title="Edit section: See also"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><a href="/wiki/Project_Denver" title="Project Denver">Project Denver</a></li> <li><a href="/wiki/Nomadik" title="Nomadik">Nomadik</a></li> <li><a href="/wiki/XScale" title="XScale">XScale</a></li> <li><a href="/wiki/ZiiLABS" title="ZiiLABS">ZiiLABS</a></li></ul> <div class="mw-heading mw-heading2"><h2 id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=34" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <style data-mw-deduplicate="TemplateStyles:r1239543626">.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output .reflist-columns-3{column-width:25em}.mw-parser-output .reflist-columns{margin-top:0.3em}.mw-parser-output .reflist-columns ol{margin-top:0}.mw-parser-output .reflist-columns li{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .reflist-upper-alpha{list-style-type:upper-alpha}.mw-parser-output .reflist-upper-roman{list-style-type:upper-roman}.mw-parser-output .reflist-lower-alpha{list-style-type:lower-alpha}.mw-parser-output .reflist-lower-greek{list-style-type:lower-greek}.mw-parser-output .reflist-lower-roman{list-style-type:lower-roman}</style><div class="reflist reflist-columns references-column-width" style="column-width: 30em;"> <ol class="references"> <li id="cite_note-1"><span class="mw-cite-backlink"><b><a href="#cite_ref-1">^</a></b></span> <span class="reference-text"><style data-mw-deduplicate="TemplateStyles:r1238218222">.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("//upload.wikimedia.org/wikipedia/commons/6/65/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("//upload.wikimedia.org/wikipedia/commons/d/d6/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("//upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("//upload.wikimedia.org/wikipedia/commons/4/4c/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}</style><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20080604024432/http://www.techtree.com/India/News/Nvidia_Rolls_out_Tegra_Processors/551-89833-581.html">"Techtree.com India &gt; News &gt; Hardware &gt; Nvidia Rolls out "Tegra" 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TechTarget, Inc. August 3, 2011. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20131106161825/http://www.tabletpcreview.com/default.asp?newsID=2476&amp;review=toshiba+thrive+android+honeycomb+os+tablet">Archived</a> from the original on November 6, 2013<span class="reference-accessdate">. Retrieved <span class="nowrap">November 21,</span> 2013</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=TabletPCReview&amp;rft.atitle=Toshiba+Thrive+Review&amp;rft.date=2011-08-03&amp;rft_id=http%3A%2F%2Fwww.tabletpcreview.com%2Fdefault.asp%3FnewsID%3D2476%26review%3Dtoshiba%2Bthrive%2Bandroid%2Bhoneycomb%2Bos%2Btablet&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-25"><span class="mw-cite-backlink"><b><a href="#cite_ref-25">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20140521122311/http://www.avionic-design.de/uploads/pdf/tamonten_tegra_processor-COM_EN.pdf">"Avionic Design Tegra 2 (T290) Tamonten Processor Module&#160;— Product Brief"</a> <span class="cs1-format">(PDF)</span>. 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Retrieved <span class="nowrap">November 11,</span> 2011</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=ASUS+Transformer+Prime+introduced+and+examined&amp;rft.pub=HEXUS.net&amp;rft.date=2011-11-09&amp;rft_id=http%3A%2F%2Fhexus.net%2Fmobile%2Fnews%2Ftablets%2F32531-asus-transformer-prime-introduced-examined%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-31"><span class="mw-cite-backlink"><b><a href="#cite_ref-31">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20120111081853/http://pressroom.nvidia.com/easyir/customrel.do?easyirid=A0D622CE9F579F09&amp;version=live&amp;prid=819304&amp;releasejsp=release_157&amp;xhtml=true">"NVIDIA Quad-Core Tegra 3 Chip Sets New Standards of Mobile Computing Performance, Energy Efficiency – NVIDIA Newsroom"</a>. January 11, 2012. Archived from <a rel="nofollow" class="external text" href="http://pressroom.nvidia.com/easyir/customrel.do?easyirid=A0D622CE9F579F09&amp;version=live&amp;prid=819304&amp;releasejsp=release_157&amp;xhtml=true">the original</a> on January 11, 2012.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NVIDIA+Quad-Core+Tegra+3+Chip+Sets+New+Standards+of+Mobile+Computing+Performance%2C+Energy+Efficiency+%E2%80%93+NVIDIA+Newsroom&amp;rft.date=2012-01-11&amp;rft_id=http%3A%2F%2Fpressroom.nvidia.com%2Feasyir%2Fcustomrel.do%3Feasyirid%3DA0D622CE9F579F09%26version%3Dlive%26prid%3D819304%26releasejsp%3Drelease_157%26xhtml%3Dtrue&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-32"><span class="mw-cite-backlink"><b><a href="#cite_ref-32">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.techpowerup.com/gpu-specs/tegra-3-gpu.c3226">"NVIDIA Tegra 3 GPU Specs"</a>. July 25, 2023.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NVIDIA+Tegra+3+GPU+Specs&amp;rft.date=2023-07-25&amp;rft_id=https%3A%2F%2Fwww.techpowerup.com%2Fgpu-specs%2Ftegra-3-gpu.c3226&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-anandtech.com-33"><span class="mw-cite-backlink">^ <a href="#cite_ref-anandtech.com_33-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-anandtech.com_33-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-anandtech.com_33-2"><sup><i><b>c</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.anandtech.com/show/6036/asus-transformer-pad-infinity-tf700t-review/3">"A Faster Tegra 3, More Memory Bandwidth – ASUS Transformer Pad Infinity (TF700T) Review"</a>. <i>Anandtech.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20120627224447/http://www.anandtech.com/show/6036/asus-transformer-pad-infinity-tf700t-review/3">Archived</a> from the original on June 27, 2012<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Anandtech.com&amp;rft.atitle=A+Faster+Tegra+3%2C+More+Memory+Bandwidth+%E2%80%93+ASUS+Transformer+Pad+Infinity+%28TF700T%29+Review&amp;rft_id=http%3A%2F%2Fwww.anandtech.com%2Fshow%2F6036%2Fasus-transformer-pad-infinity-tf700t-review%2F3&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-nvidia1-34"><span class="mw-cite-backlink"><b><a href="#cite_ref-nvidia1_34-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.nvidia.com/object/tegra-3-processor.html">"Tegra 3 Multi-Core Processors"</a>. NVIDIA. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20120428132736/http://www.nvidia.com/object/tegra-3-processor.html">Archived</a> from the original on April 28, 2012<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Tegra+3+Multi-Core+Processors&amp;rft.pub=NVIDIA&amp;rft_id=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Ftegra-3-processor.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-35"><span class="mw-cite-backlink"><b><a href="#cite_ref-35">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20130721034837/http://www.xolo.in/xolo-play-features-specs">"XOLO – The Next Level"</a>. July 21, 2013. Archived from <a rel="nofollow" class="external text" href="http://www.xolo.in/xolo-play-features-specs">the original</a> on July 21, 2013.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=XOLO+%E2%80%93+The+Next+Level&amp;rft.date=2013-07-21&amp;rft_id=http%3A%2F%2Fwww.xolo.in%2Fxolo-play-features-specs&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-36"><span class="mw-cite-backlink"><b><a href="#cite_ref-36">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20130402093316/http://asia.cnet.com/product/asus-eee-pad-transformer-prime-nvidia-tegra-3-processor-10-1-inch-display-45735891.htm">"Asus Eee Pad Transformer Prime (Nvidia Tegra 3 Processor; 10.1-inch display) Review"</a>. December 30, 2011. Archived from <a rel="nofollow" class="external text" href="http://asia.cnet.com/product/asus-eee-pad-transformer-prime-nvidia-tegra-3-processor-10-1-inch-display-45735891.htm">the original</a> on April 2, 2013.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Asus+Eee+Pad+Transformer+Prime+%28Nvidia+Tegra+3+Processor%3B+10.1-inch+display%29+Review&amp;rft.date=2011-12-30&amp;rft_id=http%3A%2F%2Fasia.cnet.com%2Fproduct%2Fasus-eee-pad-transformer-prime-nvidia-tegra-3-processor-10-1-inch-display-45735891.htm&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-37"><span class="mw-cite-backlink"><b><a href="#cite_ref-37">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.glbenchmark.com/phonedetails.jsp?benchmark=glpro21&amp;D=Lenovo+LePad+K2&amp;testgroup=system">"GFXBench – unified graphics benchmark based on DXBenchmark (DirectX) and GLBenchmark (OpenGL ES)"</a>. <i>Glbenchmark.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20120122105028/http://www.glbenchmark.com/phonedetails.jsp?benchmark=glpro21&amp;D=Lenovo+LePad+K2&amp;testgroup=system">Archived</a> from the original on January 22, 2012<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Glbenchmark.com&amp;rft.atitle=GFXBench+%E2%80%93+unified+graphics+benchmark+based+on+DXBenchmark+%28DirectX%29+and+GLBenchmark+%28OpenGL+ES%29&amp;rft_id=http%3A%2F%2Fwww.glbenchmark.com%2Fphonedetails.jsp%3Fbenchmark%3Dglpro21%26D%3DLenovo%2BLePad%2BK2%26testgroup%3Dsystem&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-38"><span class="mw-cite-backlink"><b><a href="#cite_ref-38">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFSummerson2012" class="citation web cs1">Summerson, Cameron (June 19, 2012). <a rel="nofollow" class="external text" href="http://www.androidpolice.com/2012/06/19/fuhu-nabi-2-review-a-quad-core-android-4-0-tablet-designed-just-for-your-kids-and-its-surprisingly-awesome/">"Fuhu Nabi 2 Review: A Quad-Core Android 4.0 Tablet Designed Just For Your Kids – And It's Surprisingly Awesome"</a>. <i>Androidpolice.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20120622042940/http://www.androidpolice.com/2012/06/19/fuhu-nabi-2-review-a-quad-core-android-4-0-tablet-designed-just-for-your-kids-and-its-surprisingly-awesome/">Archived</a> from the original on June 22, 2012<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Androidpolice.com&amp;rft.atitle=Fuhu+Nabi+2+Review%3A+A+Quad-Core+Android+4.0+Tablet+Designed+Just+For+Your+Kids+%E2%80%93+And+It%27s+Surprisingly+Awesome&amp;rft.date=2012-06-19&amp;rft.aulast=Summerson&amp;rft.aufirst=Cameron&amp;rft_id=http%3A%2F%2Fwww.androidpolice.com%2F2012%2F06%2F19%2Ffuhu-nabi-2-review-a-quad-core-android-4-0-tablet-designed-just-for-your-kids-and-its-surprisingly-awesome%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-39"><span class="mw-cite-backlink"><b><a href="#cite_ref-39">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.microsoft.com/en-us/news/Press/2012/Oct12/10-16announcementPR.aspx">"Microsoft Announces New Surface Details &#124; News Center"</a>. <i>Microsoft.com</i>. October 16, 2012. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20140712031842/http://www.microsoft.com/en-us/news/press/2012/oct12/10-16announcementpr.aspx">Archived</a> from the original on July 12, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Microsoft.com&amp;rft.atitle=Microsoft+Announces+New+Surface+Details+%26%23124%3B+News+Center&amp;rft.date=2012-10-16&amp;rft_id=http%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fnews%2FPress%2F2012%2FOct12%2F10-16announcementPR.aspx&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-40"><span class="mw-cite-backlink"><b><a href="#cite_ref-40">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://techcrunch.com/2012/10/09/lenovo-introduces-the-ideapad-yoga-11-and-13-the-first-tablet-laptop-ultrabook-hybrid/">"Lenovo Introduces The IdeaPad Yoga 11 and 13, The First Tablet &amp; Laptop Ultrabook Hybrid"</a>. TechCrunch. October 9, 2012. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20171222051842/https://techcrunch.com/2012/10/09/lenovo-introduces-the-ideapad-yoga-11-and-13-the-first-tablet-laptop-ultrabook-hybrid/">Archived</a> from the original on December 22, 2017<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Lenovo+Introduces+The+IdeaPad+Yoga+11+and+13%2C+The+First+Tablet+%26+Laptop+Ultrabook+Hybrid&amp;rft.pub=TechCrunch&amp;rft.date=2012-10-09&amp;rft_id=https%3A%2F%2Ftechcrunch.com%2F2012%2F10%2F09%2Flenovo-introduces-the-ideapad-yoga-11-and-13-the-first-tablet-laptop-ultrabook-hybrid%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-41"><span class="mw-cite-backlink"><b><a href="#cite_ref-41">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFJackson2012" class="citation web cs1">Jackson, Jerry (October 9, 2012). <a rel="nofollow" class="external text" href="http://www.notebookreview.com/default.asp?newsID=6600&amp;news=lenovo+ideapad+yoga">"Lenovo Launches IdeaPad Yoga 11, Yoga 13"</a>. <i>Notebookreview.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20121018184454/http://www.notebookreview.com/default.asp?newsID=6600&amp;news=lenovo+ideapad+yoga">Archived</a> from the original on October 18, 2012<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Notebookreview.com&amp;rft.atitle=Lenovo+Launches+IdeaPad+Yoga+11%2C+Yoga+13&amp;rft.date=2012-10-09&amp;rft.aulast=Jackson&amp;rft.aufirst=Jerry&amp;rft_id=http%3A%2F%2Fwww.notebookreview.com%2Fdefault.asp%3FnewsID%3D6600%26news%3Dlenovo%2Bideapad%2Byoga&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-blog.lookout.com-42"><span class="mw-cite-backlink"><b><a href="#cite_ref-blog.lookout.com_42-0">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://blog.lookout.com/hacking-a-tesla">Hacking a Tesla Model S: What we found and what we learned</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20171220084432/https://blog.lookout.com/hacking-a-tesla">Archived</a> December 20, 2017, at the <a href="/wiki/Wayback_Machine" title="Wayback Machine">Wayback Machine</a> by Kevin Mahaffey on August 7, 2015</span> </li> <li id="cite_note-nexus7hands-on-43"><span class="mw-cite-backlink"><b><a href="#cite_ref-nexus7hands-on_43-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.engadget.com/2012/06/27/nexus-7-tablet-hands-on/">"Nexus 7 tablet hands-on"</a>. Engadget. June 27, 2012. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20120629052732/http://www.engadget.com/2012/06/27/nexus-7-tablet-hands-on/">Archived</a> from the original on June 29, 2012<span class="reference-accessdate">. Retrieved <span class="nowrap">June 27,</span> 2012</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Nexus+7+tablet+hands-on&amp;rft.pub=Engadget&amp;rft.date=2012-06-27&amp;rft_id=https%3A%2F%2Fwww.engadget.com%2F2012%2F06%2F27%2Fnexus-7-tablet-hands-on%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-toshibaexcite10benchmarkvideo-44"><span class="mw-cite-backlink"><b><a href="#cite_ref-toshibaexcite10benchmarkvideo_44-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.youtube.com/watch?v=8K8AseX6S1g">"Toshiba Excite 10 Benchmark Test"</a>. YouTube. May 29, 2012. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20130727052601/http://www.youtube.com/watch?v=8K8AseX6S1g">Archived</a> from the original on July 27, 2013<span class="reference-accessdate">. Retrieved <span class="nowrap">November 25,</span> 2012</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Toshiba+Excite+10+Benchmark+Test&amp;rft.pub=YouTube&amp;rft.date=2012-05-29&amp;rft_id=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8K8AseX6S1g&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-45"><span class="mw-cite-backlink"><b><a href="#cite_ref-45">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20130420055230/http://bluproducts.com/pro-detail/quattro45">"Blu Products: Quattro45"</a>. April 20, 2013. Archived from <a rel="nofollow" class="external text" href="http://bluproducts.com/pro-detail/quattro45">the original</a> on April 20, 2013.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Blu+Products%3A+Quattro45&amp;rft.date=2013-04-20&amp;rft_id=http%3A%2F%2Fbluproducts.com%2Fpro-detail%2Fquattro45&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-46"><span class="mw-cite-backlink"><b><a href="#cite_ref-46">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.nvidia.com/object/tegra-4-processor.html">"Tegra 4 Processors"</a>. NVIDIA. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20130127013020/http://www.nvidia.com/object/tegra-4-processor.html">Archived</a> from the original on January 27, 2013<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Tegra+4+Processors&amp;rft.pub=NVIDIA&amp;rft_id=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Ftegra-4-processor.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-47"><span class="mw-cite-backlink"><b><a href="#cite_ref-47">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFParrish2013" class="citation web cs1">Parrish, Kevin (November 12, 2013). <a rel="nofollow" class="external text" href="http://www.tomshardware.com/reviews/nvidia-tegra-note-7-evga-tablet-review,3668-9.html">"Results: GPU Benchmarks – EVGA Tegra Note 7 Review: Nvidia's Tegra 4 For $200"</a>. <i>Tomshardware.com</i><span class="reference-accessdate">. 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Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Blogs.nvidia.com&amp;rft.atitle=Audi+Offers+Taste+of+Tegra-Powered+Future+at+Geneva+Motor+Show+%26%23124%3B+NVIDIA+Blog&amp;rft.aulast=Shapiro&amp;rft.aufirst=Danny&amp;rft_id=http%3A%2F%2Fblogs.nvidia.com%2Fblog%2F2015%2F03%2F11%2Faudi-geneva%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-64"><span class="mw-cite-backlink"><b><a href="#cite_ref-64">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://lepantab.com/v2/?portfolio=tc1020">"Le Pan – TC1020"</a>. 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Open-consoles-news.com. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160923115712/http://www.open-consoles-news.com/2015/06/test-matrimax-iplay.html">Archived</a> from the original on September 23, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">September 22,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%5BTest%5D+Matrimax+iPlay&amp;rft.pub=Open-consoles-news.com&amp;rft_id=http%3A%2F%2Fwww.open-consoles-news.com%2F2015%2F06%2Ftest-matrimax-iplay.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-66"><span class="mw-cite-backlink"><b><a href="#cite_ref-66">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.cnet.com/products/kobo-arc-10-hd/specs/">"Kobo Arc 10 HD Specs"</a>. 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Retrieved <span class="nowrap">July 8,</span> 2017</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Kobo+Arc+10+HD+Specs&amp;rft.pub=C-Net&amp;rft_id=https%3A%2F%2Fwww.cnet.com%2Fproducts%2Fkobo-arc-10-hd%2Fspecs%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-67"><span class="mw-cite-backlink"><b><a href="#cite_ref-67">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFCunningham2013" class="citation web cs1">Cunningham, Andrew (February 19, 2013). <a rel="nofollow" class="external text" href="https://arstechnica.com/gadgets/2013/02/project-grey-becomes-tegra-4i-nvidias-latest-play-for-smartphones/">"Project Grey becomes Tegra 4i, Nvidia's latest play for smartphones"</a>. Ars Technica. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20171202063403/https://arstechnica.com/gadgets/2013/02/project-grey-becomes-tegra-4i-nvidias-latest-play-for-smartphones/">Archived</a> from the original on December 2, 2017<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2013</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Project+Grey+becomes+Tegra+4i%2C+Nvidia%27s+latest+play+for+smartphones&amp;rft.pub=Ars+Technica&amp;rft.date=2013-02-19&amp;rft.aulast=Cunningham&amp;rft.aufirst=Andrew&amp;rft_id=https%3A%2F%2Farstechnica.com%2Fgadgets%2F2013%2F02%2Fproject-grey-becomes-tegra-4i-nvidias-latest-play-for-smartphones%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-68"><span class="mw-cite-backlink"><b><a href="#cite_ref-68">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20140917094609/http://fr.wikomobile.com/m250-HIGHWAY-4G">"Wiko Mobile – HIGHWAY 4G"</a>. September 17, 2014. Archived from <a rel="nofollow" class="external text" href="http://fr.wikomobile.com/m250-HIGHWAY-4G">the original</a> on September 17, 2014.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Wiko+Mobile+%E2%80%93+HIGHWAY+4G&amp;rft.date=2014-09-17&amp;rft_id=http%3A%2F%2Ffr.wikomobile.com%2Fm250-HIGHWAY-4G&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-69"><span class="mw-cite-backlink"><b><a href="#cite_ref-69">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.nvidia.ru/object/explay-4game-smartphone-ru.html">"Explay 4Game &#124; Четырехъядерный смартфон на базе Tegra 4i &#124; NVIDIA"</a>. <i>Blogs.nvidia.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20141205231828/http://www.nvidia.ru/object/explay-4game-smartphone-ru.html">Archived</a> from the original on December 5, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Blogs.nvidia.com&amp;rft.atitle=Explay+4Game+%26%23124%3B+%D0%A7%D0%B5%D1%82%D1%8B%D1%80%D0%B5%D1%85%D1%8A%D1%8F%D0%B4%D0%B5%D1%80%D0%BD%D1%8B%D0%B9+%D1%81%D0%BC%D0%B0%D1%80%D1%82%D1%84%D0%BE%D0%BD+%D0%BD%D0%B0+%D0%B1%D0%B0%D0%B7%D0%B5+Tegra+4i+%26%23124%3B+NVIDIA&amp;rft_id=http%3A%2F%2Fwww.nvidia.ru%2Fobject%2Fexplay-4game-smartphone-ru.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-70"><span class="mw-cite-backlink"><b><a href="#cite_ref-70">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFHan2014" class="citation web cs1">Han, Mike (February 24, 2014). <a rel="nofollow" class="external text" href="http://blogs.nvidia.com/blog/2014/02/24/lte-europe/">"NVIDIA LTE Modem Makes Landfall in Europe, with Launch of Wiko Tegra 4i LTE Smartphone &#124; The Official NVIDIA Blog"</a>. <i>Blogs.nvidia.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20140228104125/https://blogs.nvidia.com/blog/2014/02/24/lte-europe/">Archived</a> from the original on February 28, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Blogs.nvidia.com&amp;rft.atitle=NVIDIA+LTE+Modem+Makes+Landfall+in+Europe%2C+with+Launch+of+Wiko+Tegra+4i+LTE+Smartphone+%26%23124%3B+The+Official+NVIDIA+Blog&amp;rft.date=2014-02-24&amp;rft.aulast=Han&amp;rft.aufirst=Mike&amp;rft_id=http%3A%2F%2Fblogs.nvidia.com%2Fblog%2F2014%2F02%2F24%2Flte-europe%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-Wiko_WAX-71"><span class="mw-cite-backlink"><b><a href="#cite_ref-Wiko_WAX_71-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.devicespecifications.com/en/model/6e572cd4">"Wiko WAX"</a>. DeviceSpecifications. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20140521202025/http://www.devicespecifications.com/en/model/6e572cd4">Archived</a> from the original on May 21, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">May 21,</span> 2014</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Wiko+WAX&amp;rft.pub=DeviceSpecifications&amp;rft_id=http%3A%2F%2Fwww.devicespecifications.com%2Fen%2Fmodel%2F6e572cd4&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-QMobile_Noir_LT-250-72"><span class="mw-cite-backlink"><b><a href="#cite_ref-QMobile_Noir_LT-250_72-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.hitmobile.pk/phones/qmobile/qmobile-noir-lt-250/">"QMobile Noir LT-250"</a>. DeviceSpecifications. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20150210170645/http://www.hitmobile.pk/phones/qmobile/qmobile-noir-lt-250/">Archived</a> from the original on February 10, 2015<span class="reference-accessdate">. Retrieved <span class="nowrap">February 10,</span> 2014</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=QMobile+Noir+LT-250&amp;rft.pub=DeviceSpecifications&amp;rft_id=http%3A%2F%2Fwww.hitmobile.pk%2Fphones%2Fqmobile%2Fqmobile-noir-lt-250%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-73"><span class="mw-cite-backlink"><b><a href="#cite_ref-73">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFPark2014" class="citation web cs1">Park, Will (May 15, 2014). <a rel="nofollow" class="external text" href="http://blogs.nvidia.com/blog/2014/05/15/nvidias-tegra-k1-powers-xiaomis-first-tablet/">"NVIDIA's Tegra K1 Powers Xiaomi's First Tablet &#124; The Official NVIDIA Blog"</a>. <i>Blogs.nvidia.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20140712072810/http://blogs.nvidia.com/blog/2014/05/15/nvidias-tegra-k1-powers-xiaomis-first-tablet/">Archived</a> from the original on July 12, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Blogs.nvidia.com&amp;rft.atitle=NVIDIA%27s+Tegra+K1+Powers+Xiaomi%27s+First+Tablet+%26%23124%3B+The+Official+NVIDIA+Blog&amp;rft.date=2014-05-15&amp;rft.aulast=Park&amp;rft.aufirst=Will&amp;rft_id=http%3A%2F%2Fblogs.nvidia.com%2Fblog%2F2014%2F05%2F15%2Fnvidias-tegra-k1-powers-xiaomis-first-tablet%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-74"><span class="mw-cite-backlink"><b><a href="#cite_ref-74">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.androidcentral.com/nvidia-shield-tablet-k1-android-601-update-brings-vulkan-graphics-api-support">"NVIDIA Shield Tablet K1 gets Vulkan support with Android 6.0.1 update"</a>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160509225056/http://www.androidcentral.com/nvidia-shield-tablet-k1-android-601-update-brings-vulkan-graphics-api-support">Archived</a> from the original on May 9, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">May 3,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NVIDIA+Shield+Tablet+K1+gets+Vulkan+support+with+Android+6.0.1+update&amp;rft_id=http%3A%2F%2Fwww.androidcentral.com%2Fnvidia-shield-tablet-k1-android-601-update-brings-vulkan-graphics-api-support&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-bbc2014-75"><span class="mw-cite-backlink">^ <a href="#cite_ref-bbc2014_75-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-bbc2014_75-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFKelion2014" class="citation web cs1">Kelion, Leo (January 6, 2014). <a rel="nofollow" class="external text" href="https://www.bbc.co.uk/news/technology-25618498">"CES 2014: Nvidia Tegra K1 offers leap in graphics power"</a>. BBC. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20140111062616/http://www.bbc.co.uk/news/technology-25618498">Archived</a> from the original on January 11, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">January 11,</span> 2014</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=CES+2014%3A+Nvidia+Tegra+K1+offers+leap+in+graphics+power&amp;rft.pub=BBC&amp;rft.date=2014-01-06&amp;rft.aulast=Kelion&amp;rft.aufirst=Leo&amp;rft_id=https%3A%2F%2Fwww.bbc.co.uk%2Fnews%2Ftechnology-25618498&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-gputechconf1-76"><span class="mw-cite-backlink">^ <a href="#cite_ref-gputechconf1_76-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-gputechconf1_76-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://on-demand.gputechconf.com/siggraph/2015/presentation/SIG1501-Piers-Daniell.pdf">"Vulkan API"</a> <span class="cs1-format">(PDF)</span>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20151222113116/http://on-demand.gputechconf.com/siggraph/2015/presentation/SIG1501-Piers-Daniell.pdf">Archived</a> <span class="cs1-format">(PDF)</span> from the original on December 22, 2015<span class="reference-accessdate">. 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Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Google&amp;rft_id=https%3A%2F%2Fwww.google.com%2Fatap%2Fprojecttango%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-90"><span class="mw-cite-backlink"><b><a href="#cite_ref-90">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.toradex.com/computer-on-modules/apalis-arm-family/nvidia-tegra-k1">"NVIDIA Tegra K1 System/Computer on Module – Apalis TK1 SOM"</a>. <i>Toradex.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160304121311/https://www.toradex.com/computer-on-modules/apalis-arm-family/nvidia-tegra-k1">Archived</a> from the original on March 4, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Toradex.com&amp;rft.atitle=NVIDIA+Tegra+K1+System%2FComputer+on+Module+%E2%80%93+Apalis+TK1+SOM&amp;rft_id=https%3A%2F%2Fwww.toradex.com%2Fcomputer-on-modules%2Fapalis-arm-family%2Fnvidia-tegra-k1&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-91"><span class="mw-cite-backlink"><b><a href="#cite_ref-91">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFRothman" class="citation web cs1">Rothman, Chelsea. <a rel="nofollow" class="external text" href="http://www.cgmagonline.com/2016/05/11/fuze-tomahawk-f1-the-chinese-android-xstation-4/">"Fuze Tomahawk F1: The Chinese Android XStation 4"</a>. <i>Comics Gaming Magazine</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160610104517/http://www.cgmagonline.com/2016/05/11/fuze-tomahawk-f1-the-chinese-android-xstation-4/">Archived</a> from the original on June 10, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">June 1,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Comics+Gaming+Magazine&amp;rft.atitle=Fuze+Tomahawk+F1%3A+The+Chinese+Android+XStation+4&amp;rft.aulast=Rothman&amp;rft.aufirst=Chelsea&amp;rft_id=http%3A%2F%2Fwww.cgmagonline.com%2F2016%2F05%2F11%2Ffuze-tomahawk-f1-the-chinese-android-xstation-4%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-92"><span class="mw-cite-backlink"><b><a href="#cite_ref-92">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.gsmarena.com/jxd_s192_retro_gaming_tablet_is_powered_by_nvidias_tegra_k1_chipset-blog-17904.php">"JXD S192 "retro" gaming tablet is powered by Nvidia's Tegra K1 chipset"</a>. <i>GSMArena.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20190325121842/https://www.gsmarena.com/jxd_s192_retro_gaming_tablet_is_powered_by_nvidias_tegra_k1_chipset-blog-17904.php">Archived</a> from the original on March 25, 2019<span class="reference-accessdate">. Retrieved <span class="nowrap">March 25,</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=GSMArena.com&amp;rft.atitle=JXD+S192+%22retro%22+gaming+tablet+is+powered+by+Nvidia%27s+Tegra+K1+chipset&amp;rft_id=https%3A%2F%2Fwww.gsmarena.com%2Fjxd_s192_retro_gaming_tablet_is_powered_by_nvidias_tegra_k1_chipset-blog-17904.php&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-93"><span class="mw-cite-backlink"><b><a href="#cite_ref-93">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.google.com/nexus/9/">"Nexus 9"</a>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20141021121458/https://www.google.com/nexus/9/">Archived</a> from the original on October 21, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Nexus+9&amp;rft_id=https%3A%2F%2Fwww.google.com%2Fnexus%2F9%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-94"><span class="mw-cite-backlink"><b><a href="#cite_ref-94">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20141102023131/http://www.htc.com/us/tablets/nexus-9/">"Google Nexus 9 Specs and Reviews &#124; HTC United States"</a>. <i>Htc.com</i>. Archived from <a rel="nofollow" class="external text" href="http://www.htc.com/us/tablets/nexus-9/">the original</a> on November 2, 2014<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Htc.com&amp;rft.atitle=Google+Nexus+9+Specs+and+Reviews+%26%23124%3B+HTC+United+States&amp;rft_id=http%3A%2F%2Fwww.htc.com%2Fus%2Ftablets%2Fnexus-9%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-95"><span class="mw-cite-backlink"><b><a href="#cite_ref-95">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://wccftech.com/tesla-autopilot-story-in-depth-technology/3/#ixzz3uLlKYLr6">Exclusive: The Tesla AutoPilot – An In-Depth Look At The Technology Behind the Engineering Marvel</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20180316084835/https://wccftech.com/tesla-autopilot-story-in-depth-technology/3/#ixzz3uLlKYLr6">Archived</a> March 16, 2018, at the <a href="/wiki/Wayback_Machine" title="Wayback Machine">Wayback Machine</a> by Usman Pirzada on Dec 3, 2015</span> </li> <li id="cite_note-96"><span class="mw-cite-backlink"><b><a href="#cite_ref-96">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.nvidia.com/object/tegra-x1-processor.html">"Tegra X1 Super Chip &#124; NVIDIA Tegra"</a>. NVIDIA. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20150105071435/http://www.nvidia.com/object/tegra-x1-processor.html">Archived</a> from the original on January 5, 2015<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Tegra+X1+Super+Chip+%26%23124%3B+NVIDIA+Tegra&amp;rft.pub=NVIDIA&amp;rft_id=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Ftegra-x1-processor.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-97"><span class="mw-cite-backlink"><b><a href="#cite_ref-97">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.anandtech.com/show/8811/nvidia-tegra-x1-preview">"NVIDIA Tegra X1 Preview &amp; Architecture Analysis"</a>. <i>Anandtech.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20150105113525/http://www.anandtech.com/show/8811/nvidia-tegra-x1-preview">Archived</a> from the original on January 5, 2015<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Anandtech.com&amp;rft.atitle=NVIDIA+Tegra+X1+Preview+%26+Architecture+Analysis&amp;rft_id=http%3A%2F%2Fwww.anandtech.com%2Fshow%2F8811%2Fnvidia-tegra-x1-preview&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-98"><span class="mw-cite-backlink"><b><a href="#cite_ref-98">^</a></b></span> <span class="reference-text">Tegra_X1_TRM_DP07225001_v1.0.pdf</span> </li> <li id="cite_note-99"><span class="mw-cite-backlink"><b><a href="#cite_ref-99">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://devtalk.nvidia.com/default/topic/904289/jetson-tx1/does-anyone-get-8-cpus-listed-/post/4759807/#4759807">"Tegra X1 advertised as four core to developers"</a>. NVIDIA. December 19, 2015. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20191025060621/https://devtalk.nvidia.com/default/topic/904289/jetson-tx1/does-anyone-get-8-cpus-listed-/post/4759807/#4759807">Archived</a> from the original on October 25, 2019<span class="reference-accessdate">. Retrieved <span class="nowrap">April 4,</span> 2017</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Tegra+X1+advertised+as+four+core+to+developers&amp;rft.pub=NVIDIA&amp;rft.date=2015-12-19&amp;rft_id=https%3A%2F%2Fdevtalk.nvidia.com%2Fdefault%2Ftopic%2F904289%2Fjetson-tx1%2Fdoes-anyone-get-8-cpus-listed-%2Fpost%2F4759807%2F%234759807&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-100"><span class="mw-cite-backlink"><b><a href="#cite_ref-100">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.anandtech.com/show/9972/the-google-pixel-c-review/2">"Tegra X1's A53 cores are disabled on the Pixel C"</a>. Anandtech. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20170404221055/http://www.anandtech.com/show/9972/the-google-pixel-c-review/2">Archived</a> from the original on April 4, 2017<span class="reference-accessdate">. Retrieved <span class="nowrap">April 4,</span> 2017</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Tegra+X1%27s+A53+cores+are+disabled+on+the+Pixel+C&amp;rft.pub=Anandtech&amp;rft_id=http%3A%2F%2Fwww.anandtech.com%2Fshow%2F9972%2Fthe-google-pixel-c-review%2F2&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-101"><span class="mw-cite-backlink"><b><a href="#cite_ref-101">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFBittnerKrachenfelsGalaunerSeifert2021" class="citation book cs1">Bittner, Otto; Krachenfels, Thilo; Galauner, Andreas; Seifert, Jean-Pierre (August 16, 2021). "The Forgotten Threat of Voltage Glitching: A Case Study on Nvidia Tegra X2 SoCs". <i>2021 Workshop on Fault Detection and Tolerance in Cryptography (FDTC)</i>. pp.&#160;86–97. <a href="/wiki/ArXiv_(identifier)" class="mw-redirect" title="ArXiv (identifier)">arXiv</a>:<span class="id-lock-free" title="Freely accessible"><a rel="nofollow" class="external text" href="https://arxiv.org/abs/2108.06131v2">2108.06131v2</a></span>. <a href="/wiki/Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1109%2FFDTC53659.2021.00021">10.1109/FDTC53659.2021.00021</a>. <a href="/wiki/ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a>&#160;<a href="/wiki/Special:BookSources/978-1-6654-3673-1" title="Special:BookSources/978-1-6654-3673-1"><bdi>978-1-6654-3673-1</bdi></a>. <a href="/wiki/S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a>&#160;<a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:237048483">237048483</a>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=bookitem&amp;rft.atitle=The+Forgotten+Threat+of+Voltage+Glitching%3A+A+Case+Study+on+Nvidia+Tegra+X2+SoCs&amp;rft.btitle=2021+Workshop+on+Fault+Detection+and+Tolerance+in+Cryptography+%28FDTC%29&amp;rft.pages=86-97&amp;rft.date=2021-08-16&amp;rft_id=info%3Aarxiv%2F2108.06131v2&amp;rft_id=https%3A%2F%2Fapi.semanticscholar.org%2FCorpusID%3A237048483%23id-name%3DS2CID&amp;rft_id=info%3Adoi%2F10.1109%2FFDTC53659.2021.00021&amp;rft.isbn=978-1-6654-3673-1&amp;rft.aulast=Bittner&amp;rft.aufirst=Otto&amp;rft.au=Krachenfels%2C+Thilo&amp;rft.au=Galauner%2C+Andreas&amp;rft.au=Seifert%2C+Jean-Pierre&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-:2-102"><span class="mw-cite-backlink"><b><a href="#cite_ref-:2_102-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.guru3d.com/articles_pages/nvidia_shield_android_tv_2019_review,2.html">"NVIDIA Shield Android TV 2019 review"</a>. <i>Guru3D.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20201031223249/https://www.guru3d.com/articles_pages/nvidia_shield_android_tv_2019_review,2.html">Archived</a> from the original on October 31, 2020<span class="reference-accessdate">. Retrieved <span class="nowrap">March 25,</span> 2020</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Guru3D.com&amp;rft.atitle=NVIDIA+Shield+Android+TV+2019+review&amp;rft_id=https%3A%2F%2Fwww.guru3d.com%2Farticles_pages%2Fnvidia_shield_android_tv_2019_review%2C2.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-androidpolice2015-103"><span class="mw-cite-backlink">^ <a href="#cite_ref-androidpolice2015_103-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-androidpolice2015_103-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFCrider2015" class="citation web cs1">Crider, Michael (January 5, 2015). <a rel="nofollow" class="external text" href="http://www.androidpolice.com/2015/01/04/nvidia-announces-the-new-tegra-x1-mobile-chipset-with-256-core-maxwell-gpu/">"NVIDIA Announces The New Tegra X1 Mobile Chipset With 256-Core Maxwell GPU"</a>. <i>Androidpolice.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20150105104046/http://www.androidpolice.com/2015/01/04/nvidia-announces-the-new-tegra-x1-mobile-chipset-with-256-core-maxwell-gpu/">Archived</a> from the original on January 5, 2015<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Androidpolice.com&amp;rft.atitle=NVIDIA+Announces+The+New+Tegra+X1+Mobile+Chipset+With+256-Core+Maxwell+GPU&amp;rft.date=2015-01-05&amp;rft.aulast=Crider&amp;rft.aufirst=Michael&amp;rft_id=http%3A%2F%2Fwww.androidpolice.com%2F2015%2F01%2F04%2Fnvidia-announces-the-new-tegra-x1-mobile-chipset-with-256-core-maxwell-gpu%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-104"><span class="mw-cite-backlink"><b><a href="#cite_ref-104">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://devblogs.nvidia.com/parallelforall/nvidia-jetson-tx1-supercomputer-on-module-drives-next-wave-of-autonomous-machines/">"NVIDIA Jetson TX1 Supercomputer-on-Module Drives Next Wave of Autonomous Machines &#124; Parallel Forall"</a>. <i>Devblogs.nvidia.com</i>. November 11, 2015. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160503041616/https://devblogs.nvidia.com/parallelforall/nvidia-jetson-tx1-supercomputer-on-module-drives-next-wave-of-autonomous-machines/">Archived</a> from the original on May 3, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">July 15,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Devblogs.nvidia.com&amp;rft.atitle=NVIDIA+Jetson+TX1+Supercomputer-on-Module+Drives+Next+Wave+of+Autonomous+Machines+%26%23124%3B+Parallel+Forall&amp;rft.date=2015-11-11&amp;rft_id=https%3A%2F%2Fdevblogs.nvidia.com%2Fparallelforall%2Fnvidia-jetson-tx1-supercomputer-on-module-drives-next-wave-of-autonomous-machines%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-105"><span class="mw-cite-backlink"><b><a href="#cite_ref-105">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://info.nvidia.com/rs/156-OFN-742/images/Jetson_Nano_Webinar.pdf">"Slide set from Jetson Nano webinar"</a> <span class="cs1-format">(PDF)</span>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20190503091405/https://info.nvidia.com/rs/156-OFN-742/images/Jetson_Nano_Webinar.pdf">Archived</a> <span class="cs1-format">(PDF)</span> from the original on May 3, 2019<span class="reference-accessdate">. Retrieved <span class="nowrap">May 3,</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Slide+set+from+Jetson+Nano+webinar&amp;rft_id=https%3A%2F%2Finfo.nvidia.com%2Frs%2F156-OFN-742%2Fimages%2FJetson_Nano_Webinar.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-t210trm-106"><span class="mw-cite-backlink">^ <a href="#cite_ref-t210trm_106-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-t210trm_106-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-t210trm_106-2"><sup><i><b>c</b></i></sup></a> <a href="#cite_ref-t210trm_106-3"><sup><i><b>d</b></i></sup></a> <a href="#cite_ref-t210trm_106-4"><sup><i><b>e</b></i></sup></a> <a href="#cite_ref-t210trm_106-5"><sup><i><b>f</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://developer.nvidia.com/embedded/dlc/tegra-x1-technical-reference-manual">"Tegra X1 (SoC) Technical Reference Manual"</a>. <i>developer.nvidia.com</i> (v1.2p&#160;ed.)<span class="reference-accessdate">. Retrieved <span class="nowrap">February 20,</span> 2018</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=developer.nvidia.com&amp;rft.atitle=Tegra+X1+%28SoC%29+Technical+Reference+Manual&amp;rft_id=http%3A%2F%2Fdeveloper.nvidia.com%2Fembedded%2Fdlc%2Ftegra-x1-technical-reference-manual&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span> <span style="font-size:0.95em; font-size:95%; color: var( --color-subtle, #555 )">(<a href="/wiki/Wikipedia:Verifiability#Access_to_sources" title="Wikipedia:Verifiability">registration required</a>)</span></span> </li> <li id="cite_note-107"><span class="mw-cite-backlink"><b><a href="#cite_ref-107">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external autonumber" href="https://nv-tegra.nvidia.com/r/gitweb?p=linux-4.9.git;a=blob;f=drivers/clk/tegra/clk-tegra124-dfll-fcpu.c;h=1d63c90cff0067d6798b86dad810e75aca047811;hb=refs/heads/l4t/l4t-r32.7.1-4.9#l98">[1]</a><a rel="nofollow" class="external text" href="https://nv-tegra.nvidia.com/r/gitweb?p=linux-4.9.git;a=blob;f=drivers/clk/tegra/clk-tegra124-dfll-fcpu.c;h=1d63c90cff0067d6798b86dad810e75aca047811;hb=refs/heads/l4t/l4t-r32.7.1-4.9#l513">Tegra T210 dfll table</a></span> </li> <li id="cite_note-108"><span class="mw-cite-backlink"><b><a href="#cite_ref-108">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://nv-tegra.nvidia.com/r/gitweb?p=linux-4.9.git;a=blob;f=drivers/clk/tegra/clk-tegra124-dfll-fcpu.c;h=1d63c90cff0067d6798b86dad810e75aca047811;hb=refs/heads/l4t/l4t-r32.7.1-4.9#l513">Tegra T210b01 dfll table</a></span> </li> <li id="cite_note-109"><span class="mw-cite-backlink"><b><a href="#cite_ref-109">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://cdn.discordapp.com/attachments/604689935483797524/1021885750897283132/unknown.png">Strings found in libnvrm_gpu.so and in glxinfo when driver is loaded in linux</a></span> </li> <li id="cite_note-110"><span class="mw-cite-backlink"><b><a href="#cite_ref-110">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFLeadbetter2019" class="citation web cs1">Leadbetter, Richard (June 27, 2019). <a rel="nofollow" class="external text" href="https://www.eurogamer.net/articles/digitalfoundry-2019-switch-new-tegra-x1-silicon-comes-into-focus">"Switch's next Tegra X1 looks set to deliver more performance and longer battery life"</a>. <i>Eurogamer</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20190725112546/https://www.eurogamer.net/articles/digitalfoundry-2019-switch-new-tegra-x1-silicon-comes-into-focus">Archived</a> from the original on July 25, 2019<span class="reference-accessdate">. Retrieved <span class="nowrap">July 19,</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Eurogamer&amp;rft.atitle=Switch%27s+next+Tegra+X1+looks+set+to+deliver+more+performance+and+longer+battery+life&amp;rft.date=2019-06-27&amp;rft.aulast=Leadbetter&amp;rft.aufirst=Richard&amp;rft_id=https%3A%2F%2Fwww.eurogamer.net%2Farticles%2Fdigitalfoundry-2019-switch-new-tegra-x1-silicon-comes-into-focus&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-111"><span class="mw-cite-backlink"><b><a href="#cite_ref-111">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20170213231705/http://dystify.com/Overview/contents/Pages/Page_124923644.html">"3.3 Hardware Specifications"</a>. <i>dystify.com</i>. Archived from <a rel="nofollow" class="external text" href="http://dystify.com/Overview/contents/Pages/Page_124923644.html">the original</a> on February 13, 2017<span class="reference-accessdate">. Retrieved <span class="nowrap">February 27,</span> 2017</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=dystify.com&amp;rft.atitle=3.3+Hardware+Specifications&amp;rft_id=http%3A%2F%2Fdystify.com%2FOverview%2Fcontents%2FPages%2FPage_124923644.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-112"><span class="mw-cite-backlink"><b><a href="#cite_ref-112">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.nvidia.com/object/embedded-systems.html">"Embedded Systems Development Solutions from NVIDIA Jetson"</a>. NVIDIA. March 18, 2015. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160625121000/http://www.nvidia.com/object/embedded-systems.html">Archived</a> from the original on June 25, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Embedded+Systems+Development+Solutions+from+NVIDIA+Jetson&amp;rft.pub=NVIDIA&amp;rft.date=2015-03-18&amp;rft_id=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Fembedded-systems.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-113"><span class="mw-cite-backlink"><b><a href="#cite_ref-113">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.assured-systems.com/uploads/media/products/axiomtek/eboxs/jetson%20tx2/data%20sheet%20-%20nvidia%20jetson%20tx2%20system-on-module.pdf">"DATA SHEET - NVIDIA Jetson TX2 System-on-Module.pdf"</a> <span class="cs1-format">(PDF)</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=DATA+SHEET+-+NVIDIA+Jetson+TX2+System-on-Module.pdf&amp;rft_id=https%3A%2F%2Fwww.assured-systems.com%2Fuploads%2Fmedia%2Fproducts%2Faxiomtek%2Feboxs%2Fjetson%2520tx2%2Fdata%2520sheet%2520-%2520nvidia%2520jetson%2520tx2%2520system-on-module.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-114"><span class="mw-cite-backlink"><b><a href="#cite_ref-114">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://devblogs.nvidia.com/jetson-tx2-delivers-twice-intelligence-edge/">NVIDIA Jetson TX2 Delivers Twice the Intelligence to the Edge</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20180227141512/https://devblogs.nvidia.com/jetson-tx2-delivers-twice-intelligence-edge/">Archived</a> February 27, 2018, at the <a href="/wiki/Wayback_Machine" title="Wayback Machine">Wayback Machine</a> by Dustin Franklin on March 7, 2017 at Nvidia Developer Blogs</span> </li> <li id="cite_note-115"><span class="mw-cite-backlink"><b><a href="#cite_ref-115">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external free" href="https://developer.nvidia.com/embedded/dlc/jetson-tx2-module-data-sheet">https://developer.nvidia.com/embedded/dlc/jetson-tx2-module-data-sheet</a> <span style="font-size:0.95em; font-size:95%; color: var( --color-subtle, #555 )">(<a href="/wiki/Wikipedia:Verifiability#Access_to_sources" title="Wikipedia:Verifiability">registration required</a>)</span></span> </li> <li id="cite_note-116"><span class="mw-cite-backlink"><b><a href="#cite_ref-116">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.anandtech.com/show/9902/nvidia-discloses-2016-tegra">"NVIDIA Discloses Next-Generation Tegra SoC; Parker Inbound?"</a>. <i>Anandtech.com</i>. January 5, 2016. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20160629140253/http://www.anandtech.com/show/9902/nvidia-discloses-2016-tegra">Archived</a> from the original on June 29, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Anandtech.com&amp;rft.atitle=NVIDIA+Discloses+Next-Generation+Tegra+SoC%3B+Parker+Inbound%3F&amp;rft.date=2016-01-05&amp;rft_id=http%3A%2F%2Fwww.anandtech.com%2Fshow%2F9902%2Fnvidia-discloses-2016-tegra&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-117"><span class="mw-cite-backlink"><b><a href="#cite_ref-117">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFHo" class="citation web cs1">Ho, Joshua. <a rel="nofollow" class="external text" href="https://www.anandtech.com/show/10596/hot-chips-2016-nvidia-discloses-tegra-parker-details">"Hot Chips 2016: NVIDIA Discloses Tegra Parker Details"</a>. <i>www.anandtech.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20190325121844/https://www.anandtech.com/show/10596/hot-chips-2016-nvidia-discloses-tegra-parker-details">Archived</a> from the original on March 25, 2019<span class="reference-accessdate">. Retrieved <span class="nowrap">March 25,</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=www.anandtech.com&amp;rft.atitle=Hot+Chips+2016%3A+NVIDIA+Discloses+Tegra+Parker+Details&amp;rft.aulast=Ho&amp;rft.aufirst=Joshua&amp;rft_id=https%3A%2F%2Fwww.anandtech.com%2Fshow%2F10596%2Fhot-chips-2016-nvidia-discloses-tegra-parker-details&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-118"><span class="mw-cite-backlink"><b><a href="#cite_ref-118">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFHo2016" class="citation news cs1">Ho, Joshua (August 25, 2016). <a rel="nofollow" class="external text" href="http://www.anandtech.com/show/10596/hot-chips-2016-nvidia-discloses-tegra-parker-details">"Hot Chips 2016: NVIDIA Discloses Tegra Parker Details"</a>. Anandtech. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20171216100655/https://www.anandtech.com/show/10596/hot-chips-2016-nvidia-discloses-tegra-parker-details">Archived</a> from the original on December 16, 2017<span class="reference-accessdate">. Retrieved <span class="nowrap">August 25,</span> 2016</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=article&amp;rft.atitle=Hot+Chips+2016%3A+NVIDIA+Discloses+Tegra+Parker+Details&amp;rft.date=2016-08-25&amp;rft.aulast=Ho&amp;rft.aufirst=Joshua&amp;rft_id=http%3A%2F%2Fwww.anandtech.com%2Fshow%2F10596%2Fhot-chips-2016-nvidia-discloses-tegra-parker-details&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-119"><span class="mw-cite-backlink"><b><a href="#cite_ref-119">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-tx2/">"NVIDIA Jetson TX2: High Performance AI at the Edge"</a>. <i>NVIDIA</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20190407201830/https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-tx2/">Archived</a> from the original on April 7, 2019<span class="reference-accessdate">. Retrieved <span class="nowrap">April 9,</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=NVIDIA&amp;rft.atitle=NVIDIA+Jetson+TX2%3A+High+Performance+AI+at+the+Edge&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fautonomous-machines%2Fembedded-systems%2Fjetson-tx2%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-phoronix.com-120"><span class="mw-cite-backlink">^ <a href="#cite_ref-phoronix.com_120-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-phoronix.com_120-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.phoronix.com/scan.php?page=news_item&amp;px=NVIDIA-Nouveau-GV11B-Volta-Xav">"NVIDIA Bringing up Open-Source Volta GPU Support for Their Xavier SoC"</a>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NVIDIA+Bringing+up+Open-Source+Volta+GPU+Support+for+Their+Xavier+SoC&amp;rft_id=https%3A%2F%2Fwww.phoronix.com%2Fscan.php%3Fpage%3Dnews_item%26px%3DNVIDIA-Nouveau-GV11B-Volta-Xav&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-anand_jetsonTX2-121"><span class="mw-cite-backlink">^ <a href="#cite_ref-anand_jetsonTX2_121-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-anand_jetsonTX2_121-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><a rel="nofollow" class="external text" href="http://www.anandtech.com/show/11185/nvidia-announces-jetson-tx2-parker">NVIDIA Announces Jetson TX2: Parker Comes To NVIDIA's Embedded System Kit</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20180108225553/http://www.anandtech.com/show/11185/nvidia-announces-jetson-tx2-parker">Archived</a> January 8, 2018, at the <a href="/wiki/Wayback_Machine" title="Wayback Machine">Wayback Machine</a>, March 7, 2017</span> </li> <li id="cite_note-122"><span class="mw-cite-backlink"><b><a href="#cite_ref-122">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="http://www.phoronix.com/scan.php?page=news_item&amp;px=Tegra-X2-Nouveau-Support">NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20170809090937/http://www.phoronix.com/scan.php?page=news_item&amp;px=Tegra-X2-Nouveau-Support">Archived</a> August 9, 2017, at the <a href="/wiki/Wayback_Machine" title="Wayback Machine">Wayback Machine</a> by Michael Larabel at phoronix.com on March 29, 2017</span> </li> <li id="cite_note-123"><span class="mw-cite-backlink"><b><a href="#cite_ref-123">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.techpowerup.com/gpu-specs/jetson-tx2-gpu.c3231">"NVIDIA Jetson TX2 GPU Specs &#124; TechPowerUp GPU Database"</a>. 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Retrieved <span class="nowrap">March 25,</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Tech+Wire+Asia&amp;rft.atitle=Baidu%2C+NVIDIA+and+ZF+team+to+drive+autonomous+vehicles+in+China&amp;rft.date=2018-01-08&amp;rft_id=https%3A%2F%2Ftechwireasia.com%2F2018%2F01%2Fbaidu-nvidia-and-zf-team-to-drive-autonomous-vehicles-in-china%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-153"><span class="mw-cite-backlink"><b><a href="#cite_ref-153">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="http://lkml.iu.edu/hypermail/linux/kernel/1802.1/06008.html">Linux Kernel Mailing List: (PATCH v3 7/7) arm64: tegra: Add device tree for the Tegra194 P2972-0000 board</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20180315200105/http://lkml.iu.edu/hypermail/linux/kernel/1802.1/06008.html">Archived</a> March 15, 2018, at the <a href="/wiki/Wayback_Machine" title="Wayback Machine">Wayback Machine</a> by Mikko Perttunen on Feb 15 2018</span> </li> <li id="cite_note-154"><span class="mw-cite-backlink"><b><a href="#cite_ref-154">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFSmith" class="citation web cs1">Smith, Ryan. <a rel="nofollow" class="external text" href="https://www.anandtech.com/show/12598/nvidia-arm-soc-roadmap-updated-after-xavier-comes-orin">"NVIDIA ARM SoC Roadmap Updated: After Xavier Comes Orin"</a>. <i>www.anandtech.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20180419053125/https://www.anandtech.com/show/12598/nvidia-arm-soc-roadmap-updated-after-xavier-comes-orin">Archived</a> from the original on April 19, 2018<span class="reference-accessdate">. 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Retrieved <span class="nowrap">September 22,</span> 2020</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=git.kernel.org&amp;rft.atitle=kernel%2Fgit%2Fnext%2Flinux-next.git+-+The+linux-next+integration+testing+tree&amp;rft_id=https%3A%2F%2Fgit.kernel.org%2Fpub%2Fscm%2Flinux%2Fkernel%2Fgit%2Fnext%2Flinux-next.git%2Fcommit%2F%3Fid%3Db0e0423cfabc1eb407baee52cabbd9df2830feb0&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-165"><span class="mw-cite-backlink"><b><a href="#cite_ref-165">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.phoronix.com/scan.php?page=news_item&amp;px=Linux-5.10-ARM-Platform">"Linux 5.10 Has Initial Support For NVIDIA Orin, DeviceTree For Purism's Librem 5 - Phoronix"</a>. <i>www.phoronix.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20210131012357/https://www.phoronix.com/scan.php?page=news_item&amp;px=Linux-5.10-ARM-Platform">Archived</a> from the original on January 31, 2021<span class="reference-accessdate">. Retrieved <span class="nowrap">January 26,</span> 2021</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=www.phoronix.com&amp;rft.atitle=Linux+5.10+Has+Initial+Support+For+NVIDIA+Orin%2C+DeviceTree+For+Purism%27s+Librem+5+-+Phoronix&amp;rft_id=https%3A%2F%2Fwww.phoronix.com%2Fscan.php%3Fpage%3Dnews_item%26px%3DLinux-5.10-ARM-Platform&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-2022_Orin_Spec-166"><span class="mw-cite-backlink">^ <a href="#cite_ref-2022_Orin_Spec_166-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-2"><sup><i><b>c</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-3"><sup><i><b>d</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-4"><sup><i><b>e</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-5"><sup><i><b>f</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-6"><sup><i><b>g</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-7"><sup><i><b>h</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-8"><sup><i><b>i</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-9"><sup><i><b>j</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-10"><sup><i><b>k</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-11"><sup><i><b>l</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-12"><sup><i><b>m</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-13"><sup><i><b>n</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-14"><sup><i><b>o</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-15"><sup><i><b>p</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-16"><sup><i><b>q</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-17"><sup><i><b>r</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-18"><sup><i><b>s</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-19"><sup><i><b>t</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-20"><sup><i><b>u</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-21"><sup><i><b>v</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-22"><sup><i><b>w</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-23"><sup><i><b>x</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-24"><sup><i><b>y</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-25"><sup><i><b>z</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-26"><sup><i><b>aa</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-27"><sup><i><b>ab</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-28"><sup><i><b>ac</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-29"><sup><i><b>ad</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-30"><sup><i><b>ae</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-31"><sup><i><b>af</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-32"><sup><i><b>ag</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-33"><sup><i><b>ah</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-34"><sup><i><b>ai</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-35"><sup><i><b>aj</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-36"><sup><i><b>ak</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-37"><sup><i><b>al</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-38"><sup><i><b>am</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-39"><sup><i><b>an</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-40"><sup><i><b>ao</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-41"><sup><i><b>ap</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-42"><sup><i><b>aq</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-43"><sup><i><b>ar</b></i></sup></a> <a href="#cite_ref-2022_Orin_Spec_166-44"><sup><i><b>as</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFNvidia" class="citation web cs1">Nvidia. <a rel="nofollow" class="external text" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/#orion-prod-module-dev-kit-specs">"Jetson Orin for Next-Gen Robotics NVIDIA"</a>. <i>nvidia</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20220923184905/https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/">Archived</a> from the original on September 23, 2022<span class="reference-accessdate">. Retrieved <span class="nowrap">September 23,</span> 2022</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=nvidia&amp;rft.atitle=Jetson+Orin+for+Next-Gen+Robotics+NVIDIA&amp;rft.au=Nvidia&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fautonomous-machines%2Fembedded-systems%2Fjetson-orin%2F%23orion-prod-module-dev-kit-specs&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-nvidia.com_Orin_NX-167"><span class="mw-cite-backlink">^ <a href="#cite_ref-nvidia.com_Orin_NX_167-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-2"><sup><i><b>c</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-3"><sup><i><b>d</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-4"><sup><i><b>e</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-5"><sup><i><b>f</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-6"><sup><i><b>g</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-7"><sup><i><b>h</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-8"><sup><i><b>i</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-9"><sup><i><b>j</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-10"><sup><i><b>k</b></i></sup></a> <a href="#cite_ref-nvidia.com_Orin_NX_167-11"><sup><i><b>l</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin-nx/">"Embedded Robotics Modules - Jetson Orin NX"</a>. <i>nvidia</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20220308224158/https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin-nx/">Archived</a> from the original on March 8, 2022<span class="reference-accessdate">. Retrieved <span class="nowrap">March 8,</span> 2022</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=nvidia&amp;rft.atitle=Embedded+Robotics+Modules+-+Jetson+Orin+NX&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fautonomous-machines%2Fembedded-systems%2Fjetson-orin-nx%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-:3-168"><span class="mw-cite-backlink">^ <a href="#cite_ref-:3_168-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-:3_168-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><span class="id-lock-registration" title="Free registration required"><a rel="nofollow" class="external text" href="https://developer.download.nvidia.com/assets/embedded/secure/jetson/orin_nx/docs/Jetson_Orin_NX_Series_Thermal_Design_Guide_TDG-11127-001_v1.0.pdf">"Jetson Orin NX Series - Thermal Design Guide"</a></span> <span class="cs1-format">(PDF)</span>. September 28, 2022<span class="reference-accessdate">. Retrieved <span class="nowrap">September 29,</span> 2022</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Jetson+Orin+NX+Series+-+Thermal+Design+Guide&amp;rft.date=2022-09-28&amp;rft_id=https%3A%2F%2Fdeveloper.download.nvidia.com%2Fassets%2Fembedded%2Fsecure%2Fjetson%2Forin_nx%2Fdocs%2FJetson_Orin_NX_Series_Thermal_Design_Guide_TDG-11127-001_v1.0.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span><sup class="noprint Inline-Template"><span style="white-space: nowrap;">&#91;<i><a href="/wiki/Wikipedia:Link_rot" title="Wikipedia:Link rot"><span title="&#160;Dead link tagged September 2023">dead link</span></a></i><span style="visibility:hidden; color:transparent; padding-left:2px">&#8205;</span>&#93;</span></sup></span> </li> <li id="cite_note-169"><span class="mw-cite-backlink"><b><a href="#cite_ref-169">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.phoronix.com/scan.php?page=news_item&amp;px=NVIDIA-Orin-Tegra234-Audio">"Linux 5.18 Adding Audio Support for NVIDIA's Orin SoC"</a>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Linux+5.18+Adding+Audio+Support+for+NVIDIA%27s+Orin+SoC&amp;rft_id=https%3A%2F%2Fwww.phoronix.com%2Fscan.php%3Fpage%3Dnews_item%26px%3DNVIDIA-Orin-Tegra234-Audio&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-170"><span class="mw-cite-backlink"><b><a href="#cite_ref-170">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-agx-orin/">"NVIDIA Jetson AGX Orin"</a>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NVIDIA+Jetson+AGX+Orin&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fautonomous-machines%2Fembedded-systems%2Fjetson-agx-orin%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-nvidia.com_Jetson_Orin-171"><span class="mw-cite-backlink"><b><a href="#cite_ref-nvidia.com_Jetson_Orin_171-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/">"Jetson Orin for Next-Gen Robotics"</a>. <i>nvidia.com</i>. NVIDIA Corporation<span class="reference-accessdate">. Retrieved <span class="nowrap">May 8,</span> 2023</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=nvidia.com&amp;rft.atitle=Jetson+Orin+for+Next-Gen+Robotics&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fautonomous-machines%2Fembedded-systems%2Fjetson-orin%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-172"><span class="mw-cite-backlink"><b><a href="#cite_ref-172">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://blogs.nvidia.com/blog/2021/12/20/nio-et5-designed-autonomous-era-drive-orin/">"NIO ET5 Designed for Autonomous Era with DRIVE Orin"</a>. December 20, 2021.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NIO+ET5+Designed+for+Autonomous+Era+with+DRIVE+Orin&amp;rft.date=2021-12-20&amp;rft_id=https%3A%2F%2Fblogs.nvidia.com%2Fblog%2F2021%2F12%2F20%2Fnio-et5-designed-autonomous-era-drive-orin%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-173"><span class="mw-cite-backlink"><b><a href="#cite_ref-173">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://blogs.nvidia.com/blog/2021/01/09/nio-selects-nvidia-intelligent-electric-vehicles/">"Chinese Automaker NIO Selects NVIDIA for Electric Vehicles"</a>. January 9, 2021.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Chinese+Automaker+NIO+Selects+NVIDIA+for+Electric+Vehicles&amp;rft.date=2021-01-09&amp;rft_id=https%3A%2F%2Fblogs.nvidia.com%2Fblog%2F2021%2F01%2F09%2Fnio-selects-nvidia-intelligent-electric-vehicles%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-174"><span class="mw-cite-backlink"><b><a href="#cite_ref-174">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.nvidia.com/en-us/data-center/grace-cpu/">"Introducing Grace"</a>. <i>NVIDIA</i><span class="reference-accessdate">. Retrieved <span class="nowrap">May 8,</span> 2023</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=NVIDIA&amp;rft.atitle=Introducing+Grace&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fdata-center%2Fgrace-cpu%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-175"><span class="mw-cite-backlink"><b><a href="#cite_ref-175">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://nvidianews.nvidia.com/news/nvidia-introduces-grace-cpu-superchip">"NVIDIA Introduces Grace CPU Superchip"</a>. <i>NVIDIA Newsroom</i><span class="reference-accessdate">. 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Retrieved <span class="nowrap">May 8,</span> 2023</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=lkml.org&amp;rft.atitle=LKML%3A+Marc+Zyngier%3A+Re%3A+%5BPATCH%5D+irqchip%2Fgicv3%3A+Workaround+for+NVIDIA+erratum+T241-FABRIC-4&amp;rft_id=https%3A%2F%2Flkml.org%2Flkml%2F2023%2F3%2F7%2F162&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-177"><span class="mw-cite-backlink"><b><a href="#cite_ref-177">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://lore.kernel.org/all/20211216141009.1478562-1-thierry.reding@gmail.com/">"&#91;PATCH 0/2&#93; gpio: Tegra186: Add support for Tegra241 - Thierry Reding"</a>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%26%2391%3BPATCH+0%2F2%26%2393%3B+gpio%3A+Tegra186%3A+Add+support+for+Tegra241+-+Thierry+Reding&amp;rft_id=https%3A%2F%2Flore.kernel.org%2Fall%2F20211216141009.1478562-1-thierry.reding%40gmail.com%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-:5-178"><span class="mw-cite-backlink">^ <a href="#cite_ref-:5_178-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-:5_178-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-:5_178-2"><sup><i><b>c</b></i></sup></a> <a href="#cite_ref-:5_178-3"><sup><i><b>d</b></i></sup></a> <a href="#cite_ref-:5_178-4"><sup><i><b>e</b></i></sup></a> <a href="#cite_ref-:5_178-5"><sup><i><b>f</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://developer.nvidia.com/blog/nvidia-grace-cpu-superchip-architecture-in-depth/">"NVIDIA Grace CPU Superchip Architecture In Depth"</a>. <i>NVIDIA Technical Blog</i>. January 20, 2023<span class="reference-accessdate">. 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Retrieved <span class="nowrap">May 8,</span> 2023</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Tom%27s+Hardware&amp;rft.atitle=Nvidia+CEO+Comments+on+Grace+CPU+Delay%2C+Teases+Sampling+Silicon&amp;rft.date=2023-03-22&amp;rft.au=Paul+Alcorn&amp;rft_id=https%3A%2F%2Fwww.tomshardware.com%2Fnews%2Fnvidia-ceo-jensen-huang-grace-delay&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-180"><span class="mw-cite-backlink"><b><a href="#cite_ref-180">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://nvidianews.nvidia.com/news/nvidia-unveils-nvidia-drive-atlan-an-ai-data-center-on-wheels-fornext-gen-autonomous-vehicles">"NVIDIA Unveils NVIDIA DRIVE Atlan, an AI Data Center on Wheels for Next-Gen Autonomous Vehicles"</a>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=NVIDIA+Unveils+NVIDIA+DRIVE+Atlan%2C+an+AI+Data+Center+on+Wheels+for+Next-Gen+Autonomous+Vehicles&amp;rft_id=https%3A%2F%2Fnvidianews.nvidia.com%2Fnews%2Fnvidia-unveils-nvidia-drive-atlan-an-ai-data-center-on-wheels-fornext-gen-autonomous-vehicles&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-181"><span class="mw-cite-backlink"><b><a href="#cite_ref-181">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://blogs.nvidia.com/blog/2021/04/12/nvidia-drive-atlan-autonomous-vehicle-platform/">"NVIDIA Unveils DRIVE Atlan Autonomous Vehicle Platform"</a>. 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Phoronix Media. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20161007001029/https://www.phoronix.com/scan.php?page=news_item&amp;px=MTA4NjA">Archived</a> from the original on October 7, 2016<span class="reference-accessdate">. Retrieved <span class="nowrap">August 21,</span> 2012</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=A+NVIDIA+Tegra+2+DRM%2FKMS+Driver+Tips+Up&amp;rft.pub=Phoronix+Media&amp;rft.date=2012-04-11&amp;rft.aulast=Larabel&amp;rft.aufirst=Michael&amp;rft_id=https%3A%2F%2Fwww.phoronix.com%2Fscan.php%3Fpage%3Dnews_item%26px%3DMTA4NjA&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-196"><span class="mw-cite-backlink"><b><a href="#cite_ref-196">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.youtube.com/watch?v=8kIQWWJs_po&amp;t=9m35s">"GTC 2013: NVIDIA's Tegra Roadmap (6 of 11)"</a>. YouTube. March 19, 2013. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20181224142710/https://www.youtube.com/watch?v=8kIQWWJs_po&amp;t=9m35s">Archived</a> from the original on December 24, 2018<span class="reference-accessdate">. Retrieved <span class="nowrap">July 10,</span> 2013</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=GTC+2013%3A+NVIDIA%27s+Tegra+Roadmap+%286+of+11%29&amp;rft.pub=YouTube&amp;rft.date=2013-03-19&amp;rft_id=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8kIQWWJs_po%26t%3D9m35s&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-197"><span class="mw-cite-backlink"><b><a href="#cite_ref-197">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.phoronix.com/scan.php?page=news_item&amp;px=Tegra-X2-Xavier-HDMI-Audio">"NVIDIA Tegra X2 &amp; Xavier Get HDMI Audio With Linux 4.21 – Phoronix"</a>. <i>www.phoronix.com</i>. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20181223042635/https://www.phoronix.com/scan.php?page=news_item&amp;px=Tegra-X2-Xavier-HDMI-Audio">Archived</a> from the original on December 23, 2018<span class="reference-accessdate">. Retrieved <span class="nowrap">December 11,</span> 2018</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=www.phoronix.com&amp;rft.atitle=NVIDIA+Tegra+X2+%26+Xavier+Get+HDMI+Audio+With+Linux+4.21+%E2%80%93+Phoronix&amp;rft_id=https%3A%2F%2Fwww.phoronix.com%2Fscan.php%3Fpage%3Dnews_item%26px%3DTegra-X2-Xavier-HDMI-Audio&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-198"><span class="mw-cite-backlink"><b><a href="#cite_ref-198">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://developer.nvidia.com/blog/nvidia-releases-open-source-gpu-kernel-modules/">"NVIDIA Releases Open-Source GPU Kernel Modules"</a>. <i>NVIDIA Technical Blog</i>. May 19, 2022<span class="reference-accessdate">. Retrieved <span class="nowrap">May 8,</span> 2023</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=NVIDIA+Technical+Blog&amp;rft.atitle=NVIDIA+Releases+Open-Source+GPU+Kernel+Modules&amp;rft.date=2022-05-19&amp;rft_id=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fnvidia-releases-open-source-gpu-kernel-modules%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> <li id="cite_note-199"><span class="mw-cite-backlink"><b><a href="#cite_ref-199">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://vrworld.com/2016/04/05/nvidia-drive-px2-next-gen-tegra-pascal-gpu/">"DRIVE PX 2 Shows Next-Gen Nvidia Tegra, Pascal Processors"</a>. April 5, 2016. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20170308221220/https://vrworld.com/2016/04/05/nvidia-drive-px2-next-gen-tegra-pascal-gpu/">Archived</a> from the original on March 8, 2017<span class="reference-accessdate">. Retrieved <span class="nowrap">March 8,</span> 2017</span>.</cite><span title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=DRIVE+PX+2+Shows+Next-Gen+Nvidia+Tegra%2C+Pascal+Processors&amp;rft.date=2016-04-05&amp;rft_id=https%3A%2F%2Fvrworld.com%2F2016%2F04%2F05%2Fnvidia-drive-px2-next-gen-tegra-pascal-gpu%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ATegra" class="Z3988"></span></span> </li> </ol></div> <div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Tegra&amp;action=edit&amp;section=35" title="Edit section: External links"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><a rel="nofollow" class="external text" href="http://www.nvidia.com/object/tegra.html">Official website</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/object/apx_2500.html">Nvidia's Tegra APX website</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/docs/IO/55043/NVIDIA_Tegra_FAQ_External060408.pdf">Nvidia's Tegra FAQ</a></li> <li><a rel="nofollow" class="external text" href="http://international.download.nvidia.com/pdf/tegra/Tegra-X1-whitepaper-v1.0.pdf">Tegra X1 Whitepaper</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/content/PDF/tegra_white_papers/tegra-K1-whitepaper.pdf">Tegra K1 Whitepaper</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/docs/IO//116757/NVIDIA_Quad_a15_whitepaper_FINALv2.pdf">Tegra 4 CPU Whitepaper</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/docs/IO//116757/Tegra_4_GPU_Whitepaper_FINALv2.pdf">Tegra 4 GPU Whitepaper</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/content/PDF/tegra_white_papers/tegra-whitepaper-0911a.pdf">Tegra 3 Whitepaper</a></li> <li><a rel="nofollow" class="external text" href="http://www.nvidia.com/content/PDF/tegra_white_papers/Benefits-of-Multi-core-CPUs-in-Mobile-Devices_Ver1.2.pdf">Tegra 2 Whitepaper</a></li></ul> <div class="navbox-styles"><style data-mw-deduplicate="TemplateStyles:r1129693374">.mw-parser-output .hlist dl,.mw-parser-output .hlist ol,.mw-parser-output .hlist ul{margin:0;padding:0}.mw-parser-output .hlist dd,.mw-parser-output .hlist dt,.mw-parser-output .hlist li{margin:0;display:inline}.mw-parser-output .hlist.inline,.mw-parser-output .hlist.inline dl,.mw-parser-output .hlist.inline ol,.mw-parser-output .hlist.inline ul,.mw-parser-output .hlist dl dl,.mw-parser-output .hlist dl ol,.mw-parser-output .hlist dl ul,.mw-parser-output .hlist ol dl,.mw-parser-output .hlist ol ol,.mw-parser-output .hlist ol ul,.mw-parser-output .hlist ul dl,.mw-parser-output .hlist ul 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template">e</abbr></a></li></ul></div><div id="Nvidia" style="font-size:114%;margin:0 4em"><a href="/wiki/Nvidia" title="Nvidia">Nvidia</a></div></th></tr><tr><td colspan="2" class="navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks mw-collapsible mw-collapsed navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><div id="GeForce_(List_of_GPUs)" style="font-size:114%;margin:0 4em"><a href="/wiki/GeForce" title="GeForce">GeForce</a> <small>(<a href="/wiki/List_of_Nvidia_graphics_processing_units" title="List of Nvidia graphics processing units">List of GPUs</a>)</small></div></th></tr><tr><td colspan="2" class="navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Fixed pixel pipeline</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="Pre-GeForce" scope="row" class="navbox-group" style="width:1%"><a href="/wiki/List_of_Nvidia_graphics_processing_units#Pre-GeForce" title="List of Nvidia graphics processing units">Pre-GeForce</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"><div class="hlist"> <ul><li><a href="/wiki/NV1" title="NV1">NV1</a></li> <li><a href="/wiki/NV2" class="mw-redirect" title="NV2">NV2</a></li></ul> </div> <div class="hlist"> <ul><li><a href="/wiki/RIVA_128" title="RIVA 128">RIVA 128</a></li> <li><a href="/wiki/RIVA_TNT" title="RIVA TNT">RIVA TNT</a></li> <li><a href="/wiki/RIVA_TNT2" title="RIVA TNT2">TNT2</a></li></ul> </div></div></td></tr></tbody></table><div> <ul><li>&#160;<a href="/wiki/GeForce_256" title="GeForce 256">GeForce 256</a></li> <li><a href="/wiki/GeForce_2_series" title="GeForce 2 series">2</a></li> <li><a href="/wiki/GeForce_4_series" title="GeForce 4 series">4 MX</a></li></ul></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Vertex_shader" class="mw-redirect" title="Vertex shader">Vertex</a> and <a href="/wiki/Pixel_shader" class="mw-redirect" title="Pixel shader">pixel</a> shaders</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <li><a href="/wiki/GeForce_3_series" title="GeForce 3 series">GeForce 3</a></li> <li><a href="/wiki/GeForce_4_series" title="GeForce 4 series">4 Ti</a></li> <li><a href="/wiki/GeForce_FX_series" title="GeForce FX series">FX</a></li> <li><a href="/wiki/GeForce_6_series" title="GeForce 6 series">6</a></li> <li><a href="/wiki/GeForce_7_series" title="GeForce 7 series">7</a></li> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Unified_Shader_Model" class="mw-redirect" title="Unified Shader Model">Unified shaders</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/GeForce_8_series" title="GeForce 8 series">GeForce 8</a></li> <li><a href="/wiki/GeForce_9_series" title="GeForce 9 series">9</a></li> <li><a href="/wiki/GeForce_100_series" title="GeForce 100 series">100</a></li> <li><a href="/wiki/GeForce_200_series" title="GeForce 200 series">200</a></li> <li><a href="/wiki/GeForce_300_series" title="GeForce 300 series">300</a></li> <li><a href="/wiki/GeForce_400_series" title="GeForce 400 series">400</a></li> <li><a href="/wiki/GeForce_500_series" title="GeForce 500 series">500</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Unified shaders &amp; <a href="/wiki/Non-uniform_memory_access" title="Non-uniform memory access">NUMA</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/GeForce_600_series" title="GeForce 600 series">GeForce 600</a></li> <li><a href="/wiki/GeForce_700_series" title="GeForce 700 series">700</a></li> <li><a href="/wiki/GeForce_800M_series" title="GeForce 800M series">800M</a></li> <li><a href="/wiki/GeForce_900_series" title="GeForce 900 series">900</a></li> <li><a href="/wiki/GeForce_10_series" title="GeForce 10 series">10</a></li> <li><a href="/wiki/GeForce_16_series" title="GeForce 16 series">16</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Ray_tracing_(graphics)" title="Ray tracing (graphics)">Ray tracing</a> &amp; tensor cores</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/GeForce_20_series" title="GeForce 20 series">GeForce 20</a></li> <li><a href="/wiki/GeForce_30_series" title="GeForce 30 series">30</a></li> <li><a href="/wiki/GeForce_40_series" title="GeForce 40 series">40</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table><div></div></td></tr><tr><td colspan="2" class="navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks mw-collapsible mw-collapsed navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><div id="Software_and_technologies" style="font-size:114%;margin:0 4em">Software and technologies</div></th></tr><tr><td colspan="2" class="navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Multimedia acceleration</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Nvidia_NVENC" title="Nvidia NVENC">NVENC</a> (video encoding)</li> <li><a href="/wiki/Nvidia_NVDEC" title="Nvidia NVDEC">NVDEC</a> (video decoding)</li> <li><a href="/wiki/Nvidia_PureVideo" title="Nvidia PureVideo">PureVideo</a> (video decoding)</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Software</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Cg_(programming_language)" title="Cg (programming language)">Cg</a> (shading language)</li> <li><a href="/wiki/CUDA" title="CUDA">CUDA</a></li> <li><a href="/wiki/Nvidia_GameWorks" title="Nvidia GameWorks">Nvidia GameWorks</a> <ul><li><a href="/wiki/OptiX" title="OptiX">OptiX</a> (ray tracing API)</li> <li><a href="/wiki/PhysX" title="PhysX">PhysX</a> (physics SDK)</li></ul></li> <li><a href="/wiki/Nvidia_Omniverse" title="Nvidia Omniverse">Nvidia Omniverse</a> (3D graphics)</li> <li><a href="/wiki/Nvidia_RTX" title="Nvidia RTX">Nvidia RTX</a> (ray tracing platform)</li> <li><a href="/wiki/Nvidia_System_Tools" title="Nvidia System Tools">Nvidia System Tools</a></li> <li><a href="/wiki/VDPAU" title="VDPAU">VDPAU</a> (video decode API)</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Technologies</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Nvidia_3D_Vision" title="Nvidia 3D Vision">Nvidia 3D Vision</a> (stereo 3D)</li> <li><a href="/wiki/Nvidia_G-Sync" title="Nvidia G-Sync">Nvidia G-Sync</a> (variable refresh rate)</li> <li><a href="/wiki/Nvidia_Optimus" title="Nvidia Optimus">Nvidia Optimus</a> (GPU switching)</li> <li><a href="/wiki/Nvidia_Surround" class="mw-redirect" title="Nvidia Surround">Nvidia Surround</a> (multi-monitor)</li> <li><a href="/wiki/Mobile_PCI_Express_Module" title="Mobile PCI Express Module">MXM</a> (module/socket)</li> <li><a href="/wiki/SXM_(socket)" title="SXM (socket)">SXM</a> (module/socket)</li> <li><a href="/wiki/NVLink" title="NVLink">NVLink</a> (protocol)</li> <li><a href="/wiki/Scalable_Link_Interface" title="Scalable Link Interface">Scalable Link Interface</a> (multi-GPU)</li> <li><a href="/wiki/TurboCache" title="TurboCache">TurboCache</a> (framebuffer in system memory)</li> <li><a href="/wiki/Video_Super_Resolution" title="Video Super Resolution">Video Super Resolution</a> (live video upscaling)</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">GPU microarchitectures</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Celsius_(microarchitecture)" title="Celsius (microarchitecture)">Celsius</a></li> <li><a href="/wiki/Kelvin_(microarchitecture)" title="Kelvin (microarchitecture)">Kelvin</a></li> <li><a href="/wiki/Rankine_(microarchitecture)" title="Rankine (microarchitecture)">Rankine</a></li> <li><a href="/wiki/Curie_(microarchitecture)" title="Curie (microarchitecture)">Curie</a></li> <li><a href="/wiki/Tesla_(microarchitecture)" title="Tesla (microarchitecture)">Tesla</a></li> <li><a href="/wiki/Fermi_(microarchitecture)" title="Fermi (microarchitecture)">Fermi</a></li> <li><a href="/wiki/Kepler_(microarchitecture)" title="Kepler (microarchitecture)">Kepler</a></li> <li><a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a></li> <li><a href="/wiki/Pascal_(microarchitecture)" title="Pascal (microarchitecture)">Pascal</a></li> <li><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a></li> <li><a href="/wiki/Turing_(microarchitecture)" title="Turing (microarchitecture)">Turing</a></li> <li><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a></li> <li><a href="/wiki/Hopper_(microarchitecture)" title="Hopper (microarchitecture)">Hopper</a></li> <li><a href="/wiki/Ada_Lovelace_(microarchitecture)" title="Ada Lovelace (microarchitecture)">Ada Lovelace</a></li> <li><a href="/wiki/Blackwell_(microarchitecture)" title="Blackwell (microarchitecture)">Blackwell</a></li> <li><a href="/wiki/Rubin_(microarchitecture)" title="Rubin (microarchitecture)">Rubin</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table><div></div></td></tr><tr><td colspan="2" class="navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks mw-collapsible mw-collapsed navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><div id="Other_products" style="font-size:114%;margin:0 4em">Other products</div></th></tr><tr><td colspan="2" class="navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Graphics <a href="/wiki/Workstation" title="Workstation">Workstation</a> cards</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Quadro" title="Quadro">Nvidia Quadro</a> <ul><li><a href="/wiki/Nvidia_Quadro_Plex" title="Nvidia Quadro Plex">Quadro Plex</a></li></ul></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/General-purpose_computing_on_graphics_processing_units" title="General-purpose computing on graphics processing units">GPGPU</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Nvidia_Tesla" title="Nvidia Tesla">Nvidia Tesla</a></li> <li><a href="/wiki/Nvidia_DGX" title="Nvidia DGX">DGX</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Video_game_console" title="Video game console">Console</a> components</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Xbox_(console)#Technical_specifications" title="Xbox (console)">NV2A</a> <span style="font-size:85%;">(<a href="/wiki/Xbox_(console)" title="Xbox (console)">Xbox</a>)</span></li> <li><a href="/wiki/RSX_Reality_Synthesizer" title="RSX Reality Synthesizer">RSX 'Reality Synthesizer'</a> <span style="font-size:85%;">(<a href="/wiki/PlayStation_3" title="PlayStation 3">PlayStation 3</a>)</span></li> <li><a class="mw-selflink-fragment" href="#Tegra_X1">Tegra NX-SoC</a> <span style="font-size:85%;">(<a href="/wiki/Nintendo_Switch" title="Nintendo Switch">Nintendo Switch</a>)</span></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Nvidia Shield</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Shield_Portable" class="mw-redirect" title="Shield Portable">Shield Portable</a></li> <li><a href="/wiki/Shield_Tablet" class="mw-redirect" title="Shield Tablet">Shield Tablet</a></li> <li><a href="/wiki/Shield_Android_TV" class="mw-redirect" title="Shield Android TV">Shield Android TV</a></li> <li><a href="/wiki/GeForce_Now" title="GeForce Now">GeForce Now</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/System_on_a_chip" title="System on a chip">SoCs</a> and embedded</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/GoForce" title="GoForce">GoForce</a></li> <li><a href="/wiki/Nvidia_Drive" title="Nvidia Drive">Drive</a></li> <li><a href="/wiki/Nvidia_Jetson" title="Nvidia Jetson">Jetson</a></li> <li><a class="mw-selflink selflink">Tegra</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Central_processing_unit" title="Central processing unit">CPUs</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Project_Denver" title="Project Denver">Project Denver</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Computer <a href="/wiki/Chipset" title="Chipset">chipsets</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Comparison_of_Nvidia_chipsets" class="mw-redirect" title="Comparison of Nvidia chipsets">nForce</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table><div></div></td></tr><tr><td colspan="2" class="navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks mw-collapsible mw-collapsed navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><div id="Company" style="font-size:114%;margin:0 4em">Company</div></th></tr><tr><td colspan="2" class="navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Key people</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Jensen_Huang" title="Jensen Huang">Jen-Hsun Huang</a></li> <li><a href="/wiki/Chris_Malachowsky" title="Chris Malachowsky">Chris Malachowsky</a></li> <li><a href="/wiki/Curtis_Priem" title="Curtis Priem">Curtis Priem</a></li> <li><a href="/wiki/David_Kirk_(scientist)" title="David Kirk (scientist)">David Kirk</a></li> <li><a href="/wiki/Bill_Dally" title="Bill Dally">Bill Dally</a></li> <li>Debora Shoquist</li> <li>Ranga Jayaraman</li> <li>Jonah M. Alben</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Acquisitions</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/3dfx" title="3dfx">3dfx Interactive</a></li> <li><a href="/wiki/Ageia" title="Ageia">Ageia</a></li> <li><a href="/wiki/Acer_Laboratories_Incorporated" class="mw-redirect" title="Acer Laboratories Incorporated">ULi</a></li> <li><a href="/wiki/Bright_Computing" title="Bright Computing">Bright Computing</a></li> <li><a href="/wiki/Cumulus_Networks" title="Cumulus Networks">Cumulus Networks</a></li> <li><a href="/wiki/DeepMap" title="DeepMap">DeepMap</a></li> <li><a href="/wiki/Icera" title="Icera">Icera</a></li> <li><a href="/wiki/Mellanox_Technologies" title="Mellanox Technologies">Mellanox Technologies</a></li> <li><a href="/wiki/Mental_Images" title="Mental Images">Mental Images</a></li> <li><a href="/wiki/PortalPlayer" title="PortalPlayer">PortalPlayer</a></li> <li>Exluna</li> <li>MediaQ</li> <li>Stexar</li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table><div></div></td></tr></tbody></table></div> <div class="navbox-styles"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1236075235"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239400231"></div><div role="navigation" class="navbox" aria-labelledby="vte_ARM-based_chips" style="padding:3px"><table class="nowraplinks mw-collapsible mw-collapsed navbox-inner" style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2" style="background:#e8e8ff;"><div id="vte_ARM-based_chips" style="font-size:114%;margin:0 4em"><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:ARM-based_chips" title="Template:ARM-based chips"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:ARM-based_chips" title="Template talk:ARM-based chips"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:ARM-based_chips" title="Special:EditPage/Template:ARM-based chips"><abbr title="Edit this template">e</abbr></a></li></ul></div> ARM-based chips</div></th></tr><tr><td colspan="2" class="navbox-list navbox-odd" style="width:100%;padding:0;font-size:114%"><div style="padding:0px"> <div class="navbox-styles"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1236075235"></div><div role="navigation" class="navbox" aria-labelledby="Application_ARM-based_chips" style="padding:3px"><table class="nowraplinks hlist mw-collapsible autocollapse navbox-inner" style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239400231"><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:Application_ARM-based_chips" title="Template:Application ARM-based chips"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Application_ARM-based_chips" title="Template talk:Application ARM-based chips"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Application_ARM-based_chips" title="Special:EditPage/Template:Application ARM-based chips"><abbr title="Edit this template">e</abbr></a></li></ul></div><div id="Application_ARM-based_chips" style="font-size:114%;margin:0 4em">Application ARM-based chips</div></th></tr><tr><td class="navbox-abovebelow" colspan="2"><div> <ul><li><a href="/wiki/Arm_Holdings" title="Arm Holdings">Arm</a></li> <li><a href="/wiki/ARM_architecture_family" title="ARM architecture family">ARM architecture family</a></li> <li><a href="/wiki/List_of_ARM_processors" title="List of ARM processors">List of ARM processors</a></li> <li><a href="/wiki/List_of_products_using_ARM_processors" title="List of products using ARM processors">List of products using ARM processors</a></li> <li><a href="/wiki/ARM_Cortex-A" title="ARM Cortex-A">ARM Cortex-A</a></li> <li><a href="/wiki/ARM_Cortex-R" title="ARM Cortex-R">ARM Cortex-R</a></li> <li><a href="/wiki/ARM_Cortex-M" title="ARM Cortex-M">ARM Cortex-M</a></li> <li><a href="/wiki/Comparison_of_ARM_processors" title="Comparison of ARM processors">Comparison of ARM processors</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Application<br />processors<br />(32-bit)</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">ARMv7-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A5" title="ARM Cortex-A5">Cortex-A5</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Actions <a href="/wiki/Actions_Semiconductor" title="Actions Semiconductor">ATM702x</a></li> <li>Amlogic <a href="/wiki/Amlogic#Products" title="Amlogic">M805/S805, T82<i>x</i></a></li> <li>Atmel <a href="/wiki/AT91SAM#AT91SAMA5" class="mw-redirect" title="AT91SAM">SAMA5D3</a></li> <li>InfoTM <a href="/wiki/InfoTM#Products" title="InfoTM">iMAPx820, iMAPx15</a></li> <li>Qualcomm <a href="/wiki/Qualcomm_Snapdragon" title="Qualcomm Snapdragon">Snapdragon</a> <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_S_series" class="mw-redirect" title="List of Qualcomm Snapdragon processors">S4 Play</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_200_series_(2013–2019)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">200</a></li> <li>RDA RDA8810PL</li> <li>Telechips <a href="/wiki/Telechips#Products" title="Telechips">TCC892x</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A7" title="ARM Cortex-A7">Cortex-A7</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Allwinner <a href="/wiki/Allwinner_Technology#A_and_H-Series" title="Allwinner Technology">A2x, A3x, A83T, H3, H8</a></li> <li>NXP <a href="/wiki/I.MX#i.MX_7_series" title="I.MX">i.MX7</a>, <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LS10xx</a>, NXP <a href="/wiki/I.MX#i.MX_6_series" title="I.MX">i.MX6UL</a></li> <li>Broadcom <a href="/wiki/VideoCore" title="VideoCore">VideoCore BCM2836, BCM23550</a></li> <li>Leadcore <a href="/wiki/Leadcore_Technology#Product_list" title="Leadcore Technology">LC1813, LC1860/C, LC1913, LC1960</a></li> <li><a href="/wiki/Marvell_Technology,_Inc." class="mw-redirect" title="Marvell Technology, Inc.">Marvell</a> Armada PXA1920, 1500 mini plus</li> <li>MediaTek MT65xx</li> <li>Qualcomm <a href="/wiki/Qualcomm_Snapdragon" title="Qualcomm Snapdragon">Snapdragon</a> <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_200_series_(2013–2019)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">200, 205, 208, 210, 212</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_400_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">400</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A8" title="ARM Cortex-A8">Cortex-A8</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Allwinner <a href="/wiki/Allwinner_A1X" title="Allwinner A1X">A1x</a></li> <li><a href="/wiki/Apple_Inc." title="Apple Inc.">Apple</a> <a href="/wiki/Apple_A4" title="Apple A4">A4</a></li> <li>Freescale <a href="/wiki/I.MX#i.MX_5_series" title="I.MX">i.MX5</a></li> <li>Rockchip <a href="/wiki/Rockchip#RK291x_series" title="Rockchip">RK291x</a></li> <li>Samsung <a href="/wiki/Exynos_(system_on_chip)" class="mw-redirect" title="Exynos (system on chip)">Exynos 3110(S5PC110), S5PV210</a></li> <li>Texas Instruments <a href="/wiki/OMAP#OMAP_3" title="OMAP">OMAP 3</a></li> <li>Texas Instruments <a href="/wiki/Sitara_ARM_Processor" class="mw-redirect" title="Sitara ARM Processor">Sitara AM3xxx</a></li> <li>Texas Instruments <a href="/wiki/Texas_Instruments_DaVinci" title="Texas Instruments DaVinci">DM38x</a></li> <li>ZiiLABS <a href="/wiki/ZiiLABS" title="ZiiLABS">ZMS-08</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A9" title="ARM Cortex-A9">Cortex-A9</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Actions <a href="/wiki/Actions_Semiconductor#Products" title="Actions Semiconductor">ATM702<i>x</i>, ATM703<i>x</i></a></li> <li>Altera Cyclone V, Arria V/10</li> <li>Amlogic <a href="/wiki/Amlogic#Products" title="Amlogic">AML8726, MX, M6x, M801, M802/S802, S812, T86<i>x</i></a></li> <li><a href="/wiki/Apple_Inc." title="Apple Inc.">Apple</a> <a href="/wiki/Apple_A5" title="Apple A5">A5</a>, <a href="/wiki/Apple_A5X" title="Apple A5X">A5X</a></li> <li>Broadcom <a href="/wiki/VideoCore" title="VideoCore">VideoCore BCM21xxx, BCM28xxx</a></li> <li>Freescale <a href="/wiki/I.MX#i.MX_6_series" title="I.MX">i.MX6</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#K3V2" title="HiSilicon">K3V2</a>, <a href="/wiki/HiSilicon#Kirin_910_and_910T" title="HiSilicon">910's</a></li> <li>InfoTM <a href="/wiki/InfoTM" title="InfoTM">iMAPx912</a></li> <li>Leadcore <a href="/wiki/Leadcore_Technology#Product_list" title="Leadcore Technology">LC1810, LC1811</a></li> <li><a href="/wiki/Marvell_Technology,_Inc." class="mw-redirect" title="Marvell Technology, Inc.">Marvell</a> Armada 1500 mini</li> <li>MediaTek MT65xx</li> <li>Nvidia <a class="mw-selflink selflink">Tegra</a>, <a href="/wiki/Tegra_2" class="mw-redirect" title="Tegra 2">2</a>, <a href="/wiki/Tegra_3" class="mw-redirect" title="Tegra 3">3</a>, <a href="/wiki/Tegra_4" class="mw-redirect" title="Tegra 4">4i</a></li> <li>Nufront <a href="/wiki/Nufront#Products" title="Nufront">NuSmart 2816M, NS115, NS115M</a></li> <li><a href="/wiki/Renesas_Electronics" title="Renesas Electronics">Renesas</a> EMMA EV2, R-Car H1, RZ/A</li> <li>Rockchip <a href="/wiki/Rockchip#RK292x_series" title="Rockchip">RK292<i>x</i>, RK30<i>xx</i>, RK31<i>xx</i></a></li> <li>Samsung <a href="/wiki/Exynos_(system_on_chip)" class="mw-redirect" title="Exynos (system on chip)">Exynos 4 421<i>x</i>, 441<i>x</i></a></li> <li>ST-Ericsson <a href="/wiki/NovaThor" title="NovaThor">NovaThor</a></li> <li>Telechips <a href="/wiki/Telechips#Products" title="Telechips">TCC8803</a></li> <li>Texas Instruments <a href="/wiki/OMAP#OMAP_4" title="OMAP">OMAP 4</a></li> <li>Texas Instruments <a href="/wiki/Sitara_ARM_Processor" class="mw-redirect" title="Sitara ARM Processor">Sitara AM4xxx</a></li> <li>VIA WonderMedia <a href="/wiki/WonderMedia" title="WonderMedia">WM88x0, 89x0</a></li> <li>Xilinx <a href="/wiki/Xilinx#Zynq" title="Xilinx">Zynq-7000</a></li> <li>ZiiLABS <a href="/wiki/ZiiLABS" title="ZiiLABS">ZMS-20, ZMS-40</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A15" title="ARM Cortex-A15">Cortex-A15</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Allwinner <a href="/wiki/Allwinner_Technology#A-Series" title="Allwinner Technology">A80</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#K3V3" title="HiSilicon">K3V3</a></li> <li>MediaTek <a href="/wiki/MediaTek#Standalone_application_and_tablet_processors" title="MediaTek">MT8135/V</a></li> <li>Nvidia <a href="/wiki/Tegra_4" class="mw-redirect" title="Tegra 4">Tegra 4</a>, <a href="/wiki/Tegra_K1" class="mw-redirect" title="Tegra K1">K1</a></li> <li><a href="/wiki/Renesas_Electronics" title="Renesas Electronics">Renesas</a> R-Car H2</li> <li>Samsung <a href="/wiki/Exynos_(system_on_chip)" class="mw-redirect" title="Exynos (system on chip)">Exynos 5 52<i>xx</i>, 54<i>xx</i></a></li> <li>Texas Instruments <a href="/wiki/OMAP#OMAP_5" title="OMAP">OMAP 5</a>, DRA7xx, AM57xx</li> <li>Texas Instruments <a href="/wiki/Sitara_ARM_Processor" class="mw-redirect" title="Sitara ARM Processor">Sitara AM5xxx</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A17" title="ARM Cortex-A17">Cortex-A17</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>MediaTek <a href="/wiki/MediaTek#Hexa-core_and_octa-core" title="MediaTek">MT6595, MT5595</a></li> <li>MStar <a href="/wiki/MStar_Semiconductor" class="mw-redirect" title="MStar Semiconductor">6A928</a></li> <li>Rockchip <a href="/wiki/Rockchip#RK32xx_series" title="Rockchip">RK3288</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Others</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/ARM_Cortex-A12" title="ARM Cortex-A12">Cortex-A12</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv7-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_Inc." title="Apple Inc.">Apple</a> <a href="/wiki/Apple_A6" title="Apple A6">A6</a>, <a href="/wiki/Apple_A6X" title="Apple A6X">A6X</a>, <a href="/wiki/Apple_S1" title="Apple S1">S1</a>, <a href="/wiki/Apple_S1P" class="mw-redirect" title="Apple S1P">S1P</a>, <a href="/wiki/Apple_S2" title="Apple S2">S2</a>, <a href="/wiki/Apple_S3" class="mw-redirect" title="Apple S3">S3</a></li> <li>Broadcom Brahma-B15</li> <li><a href="/wiki/Marvell_Technology,_Inc." class="mw-redirect" title="Marvell Technology, Inc.">Marvell</a> P4J</li> <li>Qualcomm <a href="/wiki/Qualcomm_Snapdragon" title="Qualcomm Snapdragon">Snapdragon</a> S1, S2, S3, S4 Plus, S4 Pro, 600, 800 (<a href="/wiki/Scorpion_(CPU)" class="mw-redirect" title="Scorpion (CPU)">Scorpion</a>, <a href="/wiki/Krait_(CPU)" class="mw-redirect" title="Krait (CPU)">Krait</a>)</li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="Others" scope="row" class="navbox-group" style="width:1%">Others</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/ARM_Cortex-A32" class="mw-redirect" title="ARM Cortex-A32">Cortex-A32</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Application<br />processors<br />(64-bit)</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A35" class="mw-redirect" title="ARM Cortex-A35">Cortex-A35</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>NXP <a href="/wiki/I.MX#i.MX_8_series" title="I.MX">i.MX8X</a></li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors" class="mw-redirect" title="List of MediaTek processors">MT6799, MT8516</a></li> <li>Rockchip <a href="/wiki/List_of_Rockchip_products#RK3308" title="List of Rockchip products">RK3308</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A53" title="ARM Cortex-A53">Cortex-A53</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Actions <a href="/wiki/Actions_Semiconductor#Products" title="Actions Semiconductor">GT7, S900, V700</a></li> <li>Allwinner <a href="/wiki/Allwinner_Technology#A_and_H-Series" title="Allwinner Technology">A64, H5, H64, R18</a></li> <li>Altera Stratix 10</li> <li>Amlogic <a href="/wiki/Amlogic#Media_player_SoCs_(S9_family)" title="Amlogic">S9 Family, T96<i>x</i></a></li> <li>Broadcom <a href="/wiki/Broadcom_Corporation#Raspberry_Pi" title="Broadcom Corporation">BCM2837</a></li> <li><a href="/wiki/EZchip_Semiconductor" title="EZchip Semiconductor">EZchip</a> TILE-Mx100</li> <li>HiSilicon <a href="/wiki/HiSilicon#Kirin_620" title="HiSilicon">Kirin 620</a>, <a href="/wiki/HiSilicon#Kirin_650,_655,_658,_659" title="HiSilicon">650, 655, 658, 659</a>, <a href="/wiki/HiSilicon#Kirin_930_and_935" title="HiSilicon">930, 935</a></li> <li><a href="/wiki/Marvell_Technology,_Inc." class="mw-redirect" title="Marvell Technology, Inc.">Marvell</a> Armada PXA1928, Mobile PXA1908/PXA1936</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Quad-core_2" class="mw-redirect" title="List of MediaTek processors">MT673<i>x</i></a>, <a href="/wiki/List_of_MediaTek_processors#Octa-core" class="mw-redirect" title="List of MediaTek processors">MT675<i>x</i></a>, <a href="/wiki/List_of_MediaTek_processors#Helio_A_Series_(2018–2020)" class="mw-redirect" title="List of MediaTek processors">MT6761V</a>, <a href="/wiki/List_of_MediaTek_processors#Helio_P_Series_(2015–2020)" class="mw-redirect" title="List of MediaTek processors">MT6762</a>/<a href="/wiki/List_of_MediaTek_processors#Helio_A_Series_(2018–2020)" class="mw-redirect" title="List of MediaTek processors">V</a>, <a href="/wiki/List_of_MediaTek_processors#Helio_P_Series_(2015–2020)" class="mw-redirect" title="List of MediaTek processors">MT6763T</a>, <a href="/wiki/List_of_MediaTek_processors#Helio_P_Series_(2015–2020)" class="mw-redirect" title="List of MediaTek processors">MT6765</a>/<a href="/wiki/List_of_MediaTek_processors#Helio_G_Series_(2019–present)" class="mw-redirect" title="List of MediaTek processors">G/H</a>, <a href="/wiki/List_of_MediaTek_processors#Helio_X_Series_(2014–2017)" class="mw-redirect" title="List of MediaTek processors">MT6795</a>, <a href="/wiki/List_of_MediaTek_processors#Standalone_application_and_tablet_processors" class="mw-redirect" title="List of MediaTek processors">MT8161, MT8163, MT8165, MT8732, MT8735, MT8752</a></li> <li>NXP ARM <a href="/wiki/NXP_ARM_S32" class="mw-redirect" title="NXP ARM S32">S32</a>, <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LS1088, LS1043</a>, <a href="/wiki/I.MX#i.MX_8_series" title="I.MX">i.MX8M</a></li> <li>Qualcomm <a href="/wiki/Qualcomm_Snapdragon" title="Qualcomm Snapdragon">Snapdragon</a> <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_200_series_(2013–2019)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">215</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_400_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">410, 412, 415, 425, 427, 429, 430, 435, 439, 450</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_600_series_(2013–2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">610, 615, 616, 617, 625, 626, 630</a></li> <li>Renesas RZ/V2M</li> <li>Rockchip <a href="/wiki/List_of_Rockchip_products#RK3368" title="List of Rockchip products">RK3328, RK3368</a></li> <li>Samsung <a href="/wiki/Exynos#Past_Exynos_SoCs_(2010-2019)" title="Exynos">Exynos 7570, 7578, 7580, 7870, 7880</a></li> <li>Texas Instruments <a href="/wiki/Sitara_ARM_Processor" class="mw-redirect" title="Sitara ARM Processor">Sitara AM6xxx</a></li> <li><a href="/wiki/UNISOC" title="UNISOC">UNISOC</a> <a href="/wiki/List_of_UNISOC_processors#Feature_phone_processors" class="mw-redirect" title="List of UNISOC processors">SC9820E</a>, <a href="/wiki/List_of_UNISOC_processors#4G_smartphone_processors" class="mw-redirect" title="List of UNISOC processors">SC9832E, SC9860/GV</a></li> <li>Xilinx <a href="/wiki/Xilinx#Zynq" title="Xilinx">ZynqMP</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A57" title="ARM Cortex-A57">Cortex-A57</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>AMD <a href="/wiki/List_of_AMD_Opteron_microprocessors#ARM_Cortex_A57_based_Opterons" class="mw-redirect" title="List of AMD Opteron microprocessors">Opteron A1100-series</a></li> <li>NXP <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LS20xx</a></li> <li>Nvidia <a class="mw-selflink-fragment" href="#Tegra_X1">Tegra X1</a> and <a class="mw-selflink-fragment" href="#Tegra_X2">Tegra X2</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_800_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 808 and 810</a></li> <li>Samsung <a href="/wiki/Exynos#Past_Exynos_SoCs_(2010-2019)" title="Exynos">Exynos 7 5433, 7420</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#Hi1610" title="HiSilicon">Kirin Hi1610 and Hi1612</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A72" title="ARM Cortex-A72">Cortex-A72</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Amazon_Web_Services" title="Amazon Web Services">AWS</a> <a href="/wiki/AWS_Graviton#Graviton" title="AWS Graviton">Graviton</a></li> <li>Broadcom <a href="/wiki/Raspberry_Pi_4" title="Raspberry Pi 4">BCM2711</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#Kirin_950_and_955" title="HiSilicon">Kirin 950, 955</a>, <a href="/wiki/HiSilicon#Kunpeng_916_(formally_Hi1616)" title="HiSilicon">Kunpeng 916</a></li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Helio_X_Series_(2014–2017)" class="mw-redirect" title="List of MediaTek processors">MT6797/D/T/X</a>, <a href="/wiki/List_of_MediaTek_processors#Standalone_application_and_tablet_processors" class="mw-redirect" title="List of MediaTek processors">MT8173, MT8176, MT8693</a></li> <li>MStar <a href="/wiki/MStar_Semiconductor" class="mw-redirect" title="MStar Semiconductor">6A938</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_600_series_(2013–2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 650, 652, 653</a></li> <li>Rockchip <a href="/wiki/List_of_Rockchip_products#RK3399" title="List of Rockchip products">RK3399</a></li> <li>NXP <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LS2088</a>, <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LS1046A</a>, <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LX2160A</a>, <a href="/wiki/QorIQ#Layerscape" title="QorIQ">QorIQ LS1028A</a>, <a href="/wiki/I.MX#i.MX_8_series" title="I.MX">i.MX8</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A73" title="ARM Cortex-A73">Cortex-A73</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_400_series_(2013–2021)" title="List of Qualcomm Snapdragon systems on chips">Snapdragon 460</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_600_series_(2013–2023)" title="List of Qualcomm Snapdragon systems on chips">632, 636, 660, 662, 665, 680, 685</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_6_(2022–2024)" title="List of Qualcomm Snapdragon systems on chips">6s 4G Gen 1</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_835_(2017)" title="List of Qualcomm Snapdragon systems on chips">835</a></li> <li>Samsung <a href="/wiki/Exynos#Past_Exynos_SoCs_(2010-2019)" title="Exynos">Exynos 7872, 7884, 7885, 7904, 9609, 9610, 9611</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#Kirin_710" title="HiSilicon">Kirin 710</a>, <a href="/wiki/HiSilicon#Kirin_960" title="HiSilicon">960</a>, <a href="/wiki/HiSilicon#Kirin_970" title="HiSilicon">970</a></li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Helio_P_Series_(2015–2020)" class="mw-redirect" title="List of MediaTek processors">MT6771/V</a>, <a href="/wiki/List_of_MediaTek_processors#Helio_X_Series_(2014–2017)" class="mw-redirect" title="List of MediaTek processors">MT6799</a>, <a href="/wiki/List_of_MediaTek_processors#Kompanio_Series" class="mw-redirect" title="List of MediaTek processors">MT8183, MT8788</a></li> <li>Amlogic <a href="/wiki/Amlogic#Media_player_SoCs_(S9_family_gen_2)" title="Amlogic">S922X</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Others</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Arm_Cortex-A34" class="mw-redirect" title="Arm Cortex-A34">Cortex-A34</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Ampere_Computing" title="Ampere Computing">Ampere</a> eMAG</li> <li><a href="/wiki/Apple_Inc." title="Apple Inc.">Apple</a> <a href="/wiki/Apple_A7" title="Apple A7">A7</a>, <a href="/wiki/Apple_A8" title="Apple A8">A8</a>, <a href="/wiki/Apple_A8X" title="Apple A8X">A8X</a>, <a href="/wiki/Apple_A9" title="Apple A9">A9</a>, <a href="/wiki/Apple_A9X" title="Apple A9X">A9X</a>, <a href="/wiki/Apple_A10" title="Apple A10">A10</a>, <a href="/wiki/Apple_A10X" title="Apple A10X">A10X</a></li> <li><a href="/wiki/Applied_Micro_Circuits_Corporation" title="Applied Micro Circuits Corporation">Applied Micro</a> <a href="/wiki/X-Gene_(microarchitecture)" class="mw-redirect" title="X-Gene (microarchitecture)">X-Gene</a></li> <li>Cavium <a href="/wiki/Cavium#ThunderX_SoCs" title="Cavium">ThunderX</a></li> <li><a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> <a class="mw-selflink-fragment" href="#Tegra_K1">Tegra K1</a> (<a href="/wiki/Project_Denver" title="Project Denver">Denver</a>), <a class="mw-selflink-fragment" href="#Tegra_X2">Tegra X2</a> (<a href="/wiki/Project_Denver" title="Project Denver">Denver2</a>)</li> <li>Qualcomm <a href="/wiki/Kryo_(microarchitecture)" class="mw-redirect" title="Kryo (microarchitecture)">Kryo</a>, <a href="/wiki/Qualcomm_Falkor" class="mw-redirect" title="Qualcomm Falkor">Falkor</a></li> <li><a href="/wiki/Exynos" title="Exynos">Samsung Exynos</a> M1 (Mongoose), M2 (Mongoose)</li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.1-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="ARMv8.1-Acompatible" scope="row" class="navbox-group" style="width:1%">ARMv8.1-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Cavium <a href="/wiki/Cavium#ThunderX2_SoCs" title="Cavium">ThunderX2</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.2-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="Cortex-A55" scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A55" title="ARM Cortex-A55">Cortex-A55</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Allwinner <a href="/wiki/Allwinner_Technology#A_and_H-Series" title="Allwinner Technology">A523</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_800_series" title="Exynos">Exynos 850</a></li> <li>UNISOC <a href="/wiki/List_of_UNISOC_processors#4G_smartphone_processors" class="mw-redirect" title="List of UNISOC processors">SC9863/A, T603</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A75" title="ARM Cortex-A75">Cortex-A75</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_600_series_(2013–2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 670</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_700_series_(2018–2022)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">710, 712</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_800_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">845</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Mobile_Compute_Platforms" class="mw-redirect" title="List of Qualcomm Snapdragon processors">850</a></li> <li>Samsung <a href="/wiki/Exynos#Past_Exynos_SoCs_(2010-2019)" title="Exynos">Exynos 9820, 9825</a></li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Helio_G_Series_(2019–present)" class="mw-redirect" title="List of MediaTek processors">MT6769H/T/V/Z</a>, <a href="/wiki/List_of_MediaTek_processors#Helio_P_Series_(2015–2020)" class="mw-redirect" title="List of MediaTek processors">MT6768, MT6779V</a></li> <li>UNISOC <a href="/wiki/List_of_UNISOC_processors#4G_smartphone_processors" class="mw-redirect" title="List of UNISOC processors">T310, T606, T610, T615, T616, T618, T619, T620, T700, T710</a>, <a href="/wiki/List_of_UNISOC_processors#5G_smartphone_processors" class="mw-redirect" title="List of UNISOC processors">T740</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A76" title="ARM Cortex-A76">Cortex-A76</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Allwinner <a href="/wiki/Allwinner_Technology#A_and_H-Series" title="Allwinner Technology">A733</a></li> <li><a href="/wiki/Google_Tensor" title="Google Tensor">Google Tensor</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#Kirin_810_and_820" title="HiSilicon">Kirin 810, 820</a>, <a href="/wiki/HiSilicon#Kirin_980_and_Kirin_985_5G/4G" title="HiSilicon">980, 985</a>, <a href="/wiki/HiSilicon#Kirin_990_4G,_Kirin_990_5G_and_Kirin_990E_5G" title="HiSilicon">990</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_400_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 480(+)</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_600_series_(2013–2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">675, 678</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_700_series_(2018–2022)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">720G, 730(G), 732G, 765(G), 768G</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_800_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">855(+), 860</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Mobile_Compute_Platforms" class="mw-redirect" title="List of Qualcomm Snapdragon processors">7c (Gen 2), 8c, 8cx (Gen 2)</a></li> <li>Microsoft <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Microsoft_SQ_Compute_Platforms" class="mw-redirect" title="List of Qualcomm Snapdragon processors">SQ1 and SQ2</a></li> <li>MediaTek <a href="/wiki/List_of_MediaTek_systems_on_chips#Helio_G_Series_(2019–present)" title="List of MediaTek systems on chips">MT6781, MT6785V, MT6789</a>, <a href="/wiki/List_of_MediaTek_systems_on_chips#Dimensity_700_Series" title="List of MediaTek systems on chips">MT6833V/P, MT6853V/T</a>, <a href="/wiki/List_of_MediaTek_systems_on_chips#Dimensity_800_Series" title="List of MediaTek systems on chips">MT6873, MT6875</a>, <a href="/wiki/List_of_MediaTek_systems_on_chips#Dimensity_6000_Series" title="List of MediaTek systems on chips">Dimensity 6020, 6080, 6100+, 6300(+)</a>, <a href="/wiki/List_of_MediaTek_systems_on_chips#Kompanio_Series" title="List of MediaTek systems on chips">MT8192</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_900_series" title="Exynos">Exynos 990</a></li> <li>UNISOC <a href="/wiki/List_of_UNISOC_processors#5G_smartphone_processors" class="mw-redirect" title="List of UNISOC processors">T750, T760, T765, T770, T820</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A77" title="ARM Cortex-A77">Cortex-A77</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_1000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 1000(+)</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_600_series_(2013–2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 690</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_700_series_(2018–2022)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">750G</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_800_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">865(+), 870</a></li> <li>HiSilicon <a href="/wiki/HiSilicon#Kirin_9000_5G/4G_and_Kirin_9000E" title="HiSilicon">Kirin 9000</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_800_series" title="Exynos">Exynos 880</a>, <a href="/wiki/Exynos#Exynos_900_series" title="Exynos">980</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A78" title="ARM Cortex-A78">Cortex-A78</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G2</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_systems_on_chips#Dimensity_900_Series" title="List of MediaTek systems on chips">MT6877, MT6878</a>, <a href="/wiki/List_of_MediaTek_systems_on_chips#Dimensity_1000_Series" title="List of MediaTek systems on chips">MT6879, MT6891, MT6893</a>, <a href="/wiki/List_of_MediaTek_systems_on_chips#Dimensity_7000_Series" title="List of MediaTek systems on chips">Dimensity 7020, 7025(Ultra), 7030, 7050, 7300(Energy/X)</a>, <a href="/wiki/List_of_MediaTek_processors#Dimensity_8000_Series" class="mw-redirect" title="List of MediaTek processors">8000, 8020, 8050, 8100, 8200</a>, <a href="/wiki/List_of_MediaTek_processors#Kompanio_Series" class="mw-redirect" title="List of MediaTek processors">Kompanio 900T, 1200, 1380, 1300T</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_4_(2022–2024)" title="List of Qualcomm Snapdragon systems on chips">Snapdragon 4 Gen 1, 4(s) Gen 2</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_600_series_(2013–2023)" title="List of Qualcomm Snapdragon systems on chips">695</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_6_(2022–2024)" title="List of Qualcomm Snapdragon systems on chips">6 Gen 1, 6(s) Gen 3</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_700_series_(2018–2022)" title="List of Qualcomm Snapdragon systems on chips">778G(+), 780G, 782G</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_systems_on_chips#Snapdragon_800_series_(2013–2021)" title="List of Qualcomm Snapdragon systems on chips">888(+)</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_1000_series" title="Exynos">Exynos 1080, 1280, 1330, 1380</a>, <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">2100</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-X1" title="ARM Cortex-X1">Cortex-X1</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Google_Tensor" title="Google Tensor">Google Tensor</a>, Tensor G2</li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#800_series_(2013–2021)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 888(+)</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2100</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Neoverse_N1" class="mw-redirect" title="ARM Neoverse N1">Neoverse N1</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Ampere_Computing" title="Ampere Computing">Ampere</a> Altra, Altra Max</li> <li><a href="/wiki/Amazon_Web_Services" title="Amazon Web Services">AWS</a> <a href="/wiki/AWS_Graviton#Graviton2" title="AWS Graviton">Graviton2</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Others</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Cortex-A65, Cortex-A65AE, Cortex-A76AE, Cortex-A78C, Cortex-X1C, <a href="/wiki/ARM_Neoverse#Neoverse_E1" title="ARM Neoverse">Neoverse E1</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.2-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_A11" title="Apple A11">Apple A11</a></li> <li><a href="/wiki/Fujitsu_A64FX" title="Fujitsu A64FX">Fujitsu A64FX</a></li> <li><a href="/wiki/HiSilicon" title="HiSilicon">HiSilicon</a> TaiShan v110</li> <li><a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> <a class="mw-selflink-fragment" href="#Xavier">Tegra Xavier</a> (<a href="/wiki/Project_Denver" title="Project Denver">Carmel</a>)</li> <li><a href="/wiki/Exynos" title="Exynos">Samsung Exynos</a> M3 (Meerkat), M4 (Cheetah), M5 (Lion)</li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.3-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="ARMv8.3-Acompatible" scope="row" class="navbox-group" style="width:1%">ARMv8.3-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_A12" title="Apple A12">Apple A12</a>, <a href="/wiki/Apple_A12X" title="Apple A12X">A12X/A12Z</a>, <a href="/wiki/Apple_S4" class="mw-redirect" title="Apple S4">S4</a>, <a href="/wiki/Apple_S5" class="mw-redirect" title="Apple S5">S5</a></li> <li><a href="/wiki/Marvell_Technology,_Inc." class="mw-redirect" title="Marvell Technology, Inc.">Marvell</a> ThunderX3</li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.4-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Neoverse#Neoverse_V1" title="ARM Neoverse">Neoverse V1</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Amazon_Web_Services" title="Amazon Web Services">AWS</a> <a href="/wiki/AWS_Graviton#Graviton3" title="AWS Graviton">Graviton3</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.4-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_A13" title="Apple A13">Apple A13</a>, <a href="/wiki/Apple_S6" class="mw-redirect" title="Apple S6">S6</a>, <a href="/wiki/Apple_S7" class="mw-redirect" title="Apple S7">S7</a>, <a href="/wiki/Apple_S8" class="mw-redirect" title="Apple S8">S8</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.5-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="ARMv8.5-Acompatible" scope="row" class="navbox-group" style="width:1%">ARMv8.5-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_A14" title="Apple A14">Apple A14</a>, <a href="/wiki/Apple_M1" title="Apple M1">M1</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.6-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="ARMv8.6-Acompatible" scope="row" class="navbox-group" style="width:1%">ARMv8.6-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_A15" title="Apple A15">Apple A15</a>, <a href="/wiki/Apple_A16" title="Apple A16">A16</a>, <a href="/wiki/Apple_A17" title="Apple A17">A17</a>, <a href="/wiki/Apple_M2" title="Apple M2">M2</a>, <a href="/wiki/Apple_M3" title="Apple M3">M3</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv8.7-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th id="ARMv8.7-Acompatible" scope="row" class="navbox-group" style="width:1%">ARMv8.7-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Qualcomm <a href="/wiki/Oryon" title="Oryon">Oryon</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv9.0-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A510" title="ARM Cortex-A510">Cortex-A510</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G3</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_7000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 7200 (Pro/Ultra)</a>, <a href="/wiki/List_of_MediaTek_processors#Dimensity_8000_Series" class="mw-redirect" title="List of MediaTek processors">8300 (Ultra)</a>, <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">9000/9000+, 9200</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7 Gen 1, 7 Gen 3, 7s/7+ Gen 2</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8/8+_Gen_1_(2022)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">8(+) Gen 1</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8_Gen_2_(2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">8 Gen 2</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2200</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A710" title="ARM Cortex-A710">Cortex-A710</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 9000/9000+</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7 Gen 1, 7 Gen 3, 7s/7+ Gen 2</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8/8+_Gen_1_(2022)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">8(+) Gen 1</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8_Gen_2_(2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">8 Gen 2</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2200</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A715" title="ARM Cortex-A715">Cortex-A715</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G3</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_7000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 7200 (Pro/Ultra)</a>, <a href="/wiki/List_of_MediaTek_processors#Dimensity_8000_Series" class="mw-redirect" title="List of MediaTek processors">8300 (Ultra)</a>, <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">9200</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7 Gen 3</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8_Gen_2_(2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">8 Gen 2</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-X2" title="ARM Cortex-X2">Cortex-X2</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 9000/9000+</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7s/7+ Gen 2</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8/8+_Gen_1_(2022)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">8(+) Gen 1</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2200</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-X3" title="ARM Cortex-X3">Cortex-X3</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G3</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 9200/9200+</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8_Gen_2_(2023)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 8 Gen 2</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Neoverse#Neoverse_N2" title="ARM Neoverse">Neoverse N2</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Alibaba_Group" title="Alibaba Group">Alibaba</a> YiTian 710</li> <li><a href="/wiki/Microsoft_Azure" title="Microsoft Azure">Microsoft Azure</a> Cobalt 100</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Neoverse#Neoverse_V2" title="ARM Neoverse">Neoverse V2</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>AWS <a href="/wiki/AWS_Graviton#Graviton4" title="AWS Graviton">Graviton4</a></li> <li>Google Axion</li> <li>Nvidia Grace</li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv9.2-A</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A520" title="ARM Cortex-A520">Cortex-A520</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G4</li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7s/7+ Gen 3</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8/8s_Gen_3_(2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 8(s) Gen 3</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2400</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-A720" title="ARM Cortex-A720">Cortex-A720</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G4</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 9300(+)</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7s/7+ Gen 3</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8/8s_Gen_3_(2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 8(s) Gen 3</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2400</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-X4" title="ARM Cortex-X4">Cortex-X4</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Google Tensor G4</li> <li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 9300(+)</a></li> <li>Qualcomm <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_7_(2022–2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 7+ Gen 3</a>, <a href="/wiki/List_of_Qualcomm_Snapdragon_processors#Snapdragon_8/8s_Gen_3_(2024)" class="mw-redirect" title="List of Qualcomm Snapdragon processors">Snapdragon 8(s) Gen 3</a></li> <li>Samsung <a href="/wiki/Exynos#Exynos_2000_series" title="Exynos">Exynos 2400</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/w/index.php?title=ARM_Cortex-X925&amp;action=edit&amp;redlink=1" class="new" title="ARM Cortex-X925 (page does not exist)">Cortex-X925</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>MediaTek <a href="/wiki/List_of_MediaTek_processors#Dimensity_9000_Series" class="mw-redirect" title="List of MediaTek processors">Dimensity 9400(+)</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Neoverse#Neoverse_N3" title="ARM Neoverse">Neoverse N3</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em">-</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Neoverse#Neoverse_V3" title="ARM Neoverse">Neoverse V3</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em">-</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv9.2-A<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Apple_A18" title="Apple A18">Apple A18</a></li> <li><a href="/wiki/Apple_M4" title="Apple M4">Apple M4</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table><div></div></td></tr></tbody></table></div> <div class="navbox-styles"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1236075235"></div><div role="navigation" class="navbox" aria-labelledby="Embedded_ARM-based_chips" style="padding:3px"><table class="nowraplinks hlist mw-collapsible autocollapse navbox-inner" style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239400231"><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:Embedded_ARM-based_chips" title="Template:Embedded ARM-based chips"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Embedded_ARM-based_chips" title="Template talk:Embedded ARM-based chips"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Embedded_ARM-based_chips" title="Special:EditPage/Template:Embedded ARM-based chips"><abbr title="Edit this template">e</abbr></a></li></ul></div><div id="Embedded_ARM-based_chips" style="font-size:114%;margin:0 4em"><a href="/wiki/Embedded_system" title="Embedded system">Embedded</a> ARM-based chips</div></th></tr><tr><td class="navbox-abovebelow" colspan="2"><div> <ul><li><a href="/wiki/ARM_Holdings" class="mw-redirect" title="ARM Holdings">ARM Holdings</a></li> <li><a href="/wiki/ARM_architecture_family" title="ARM architecture family">ARM architecture family</a></li> <li><a href="/wiki/List_of_ARM_cores" class="mw-redirect" title="List of ARM cores">List of ARM cores</a></li> <li><a href="/wiki/ARM_Cortex-A" title="ARM Cortex-A">ARM Cortex-A</a></li> <li><a href="/wiki/ARM_Cortex-R" title="ARM Cortex-R">ARM Cortex-R</a></li> <li><a href="/wiki/ARM_Cortex-M" title="ARM Cortex-M">ARM Cortex-M</a></li> <li><a href="/wiki/List_of_ARM_Cortex-M_development_tools" title="List of ARM Cortex-M development tools">List of ARM Cortex-M development tools</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Embedded<br /><a href="/wiki/Microcontroller" title="Microcontroller">microcontrollers</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M0" class="mw-redirect" title="ARM Cortex-M0">Cortex-M0</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Cypress <a href="/wiki/Cypress_PSoC" title="Cypress PSoC">PSoC</a> 4000, 4100, 4100M, 4200, 4200DS, 4200L, 4200M</li> <li>Infineon <a href="/wiki/Infineon_XMC" title="Infineon XMC">XMC1000</a></li> <li>Nordic nRF51</li> <li>NXP <a href="/wiki/NXP_LPC" title="NXP LPC">LPC1100, LPC1200</a></li> <li>nuvoTon NuMicro</li> <li>Sonix SN32F700</li> <li>STMicroelectronics <a href="/wiki/STM32" title="STM32">STM32</a> F0</li> <li>Toshiba TX00</li> <li>Vorago VA108x0</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M0%2B" class="mw-redirect" title="ARM Cortex-M0+">Cortex-M0+</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Cypress PSoC 4000S, 4100S, 4100S+, 4100PS, 4700S, FM0+</li> <li>Holtek HT32F52000</li> <li>Microchip (Atmel) <a href="/wiki/Atmel_ARM-based_processors" title="Atmel ARM-based processors">SAM</a> C2, D0, D1, D2, DA, L2, R2, R3</li> <li>NXP <a href="/wiki/NXP_LPC" title="NXP LPC">LPC800, LPC11E60, LPC11U60</a></li> <li>NXP (Freescale) Kinetis E, EA, L, M, V1, W0</li> <li>Raspberry Pi <a href="/wiki/RP2040" title="RP2040">RP2040</a></li> <li>Renesas Synergy S1</li> <li>Silicon Labs (Energy Micro) <a href="/wiki/EFM32" title="EFM32">EFM32</a> Zero, Happy</li> <li>STMicroelectronics <a href="/wiki/STM32" title="STM32">STM32</a> L0</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M1" class="mw-redirect" title="ARM Cortex-M1">Cortex-M1</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Altera FPGAs Cyclone-II, Cyclone-III, Stratix-II, Stratix-III</li> <li><a href="/wiki/Microsemi" title="Microsemi">Microsemi</a> (<a href="/wiki/Actel" title="Actel">Actel</a>) FPGAs Fusion, IGLOO/e, ProASIC3L, ProASIC3/E</li> <li>Xilinx FPGAs Spartan-3, Virtex-2-3-4</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M3" class="mw-redirect" title="ARM Cortex-M3">Cortex-M3</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Actel <a href="/wiki/Actel_SmartFusion" title="Actel SmartFusion">SmartFusion, SmartFusion 2</a></li> <li>Analog Devices ADuCM300</li> <li>Cypress <a href="/wiki/PSoC" class="mw-redirect" title="PSoC">PSoC</a> 5000, 5000LP, FM3</li> <li>Fujitsu FM3</li> <li>Holtek HT32F</li> <li>Microchip (Atmel) <a href="/wiki/Atmel_ARM-based_processors" title="Atmel ARM-based processors">SAM</a> 3A, 3N, 3S, 3U, 3X</li> <li>NXP <a href="/wiki/NXP_LPC" title="NXP LPC">LPC1300, LPC1700, LPC1800</a></li> <li>ON Semiconductor Q32M210</li> <li>Silicon Labs Precision32</li> <li>Silicon Labs (Energy Micro) <a href="/wiki/EFM32" title="EFM32">EFM32 Tiny, Gecko, Leopard, Giant</a></li> <li>STMicroelectronics <a href="/wiki/STM32" title="STM32">STM32</a> F1, F2, L1</li> <li>Texas Instruments F28, LM3, TMS470, <a href="/wiki/OMAP#OMAP_4" title="OMAP">OMAP 4</a></li> <li>Toshiba TX03</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M4" class="mw-redirect" title="ARM Cortex-M4">Cortex-M4</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Microchip (Atmel) <a href="/wiki/Atmel_ARM-based_processors" title="Atmel ARM-based processors">SAM</a> 4L, 4N, 4S</li> <li>NXP (Freescale) Kinetis K, W2</li> <li>Renesas RA4W1, RA6M1, RA6M2, RA6M3, RA6T1</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M4" class="mw-redirect" title="ARM Cortex-M4">Cortex-M4F</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Cypress 6200, FM4</li> <li>Infineon <a href="/wiki/Infineon_XMC4000" class="mw-redirect" title="Infineon XMC4000">XMC4000</a></li> <li>Microchip (Atmel) <a href="/wiki/Atmel_ARM-based_processors" title="Atmel ARM-based processors">SAM</a> 4C, 4E, D5, E5, G5</li> <li>Microchip CEC1302</li> <li>Nordic nRF52</li> <li>NXP <a href="/wiki/NXP_LPC" title="NXP LPC">LPC4000, LPC4300</a></li> <li>NXP (Freescale) Kinetis K, V3, V4</li> <li>Renesas Synergy S3, S5, S7</li> <li>Silicon Labs (Energy Micro) <a href="/wiki/EFM32" title="EFM32">EFM32</a> Wonder</li> <li>STMicroelectronics <a href="/wiki/STM32" title="STM32">STM32</a> F3, F4, L4, L4+, WB</li> <li>Texas Instruments LM4F/TM4C, <a href="/wiki/TI_MSP432" title="TI MSP432">MSP432</a></li> <li>Toshiba TX04</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M7" class="mw-redirect" title="ARM Cortex-M7">Cortex-M7F</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Microchip (Atmel) <a href="/wiki/Atmel_ARM-based_processors" title="Atmel ARM-based processors">SAM</a> E7, S7, V7</li> <li>NXP (Freescale) Kinetis KV5x, i.MX RT 10xx, i.MX RT 11xx, S32K3xx</li> <li>STMicroelectronics <a href="/wiki/STM32" title="STM32">STM32</a> F7, H7</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M23" class="mw-redirect" title="ARM Cortex-M23">Cortex-M23</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>GigaDevice CD32E2xx</li> <li>Microchip (Atmel) <a href="/wiki/Atmel_ARM-based_processors" title="Atmel ARM-based processors">SAM</a> L10, L11, and PIC 32CM-LE 32CM-LS</li> <li>Nuvoton M23xx family, M2xx family, NUC1262, M2L31</li> <li>Renesas S1JA, RA2A1, RA2L1, RA2E1, RA2E2</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M33" class="mw-redirect" title="ARM Cortex-M33">Cortex-M33F</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Analog Devices ADUCM4</li> <li>Dialog DA1469x</li> <li>GigaDevice GD32E5, GD32W5</li> <li>Nordic nRF91, nRF5340, nRF54</li> <li>NXP <a href="/wiki/NXP_LPC" title="NXP LPC">LPC5500</a>, i.MX RT600</li> <li>ON RSL15</li> <li>Renesas RA4, RA6</li> <li>ST <a href="/wiki/STM32" title="STM32">STM32</a> H5, L5, U5, WBA</li> <li>Silicon Labs Wireless Gecko Series 2</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M35P" class="mw-redirect" title="ARM Cortex-M35P">Cortex-M35P</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>STMicroelectronics ST33K</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M55" class="mw-redirect" title="ARM Cortex-M55">Cortex-M55F</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Alif Semiconductor Ensemble</li> <li><a href="/wiki/Infineon_Technologies" title="Infineon Technologies">Infineon</a> <a href="/wiki/PSoC" class="mw-redirect" title="PSoC">PSoC</a> Edge</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-M85" class="mw-redirect" title="ARM Cortex-M85">Cortex-M85F</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Renesas RA8</li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Real-time_computing" title="Real-time computing">Real-time</a><br />microprocessors</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-R4" class="mw-redirect" title="ARM Cortex-R4">Cortex-R4F</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Texas Instruments RM4, TMS570</li> <li>Renesas RZ/T1</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-R5" class="mw-redirect" title="ARM Cortex-R5">Cortex-R5F</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Scaleo OLEA</li> <li>Texas Instruments RM57, AM2</li> <li>Xilinx <a href="/wiki/Xilinx#Versal" title="Xilinx">Versal</a>, <a href="/wiki/Xilinx#Zynq" title="Xilinx">ZynqMP</a>, <a href="/wiki/Xilinx#Zynq" title="Xilinx">ZynqRF</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-R7" class="mw-redirect" title="ARM Cortex-R7">Cortex-R7F</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Renesas RZ/G2E, RZ/G2H, RZ/G2M, RZ/G2N</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-R52" class="mw-redirect" title="ARM Cortex-R52">Cortex-R52F</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>NXP S32Z, S32E</li> <li>Renesas RZ/N2L, RZ/T2L, RZ/T2M</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM_Cortex-R52%2B" class="mw-redirect" title="ARM Cortex-R52+">Cortex-R52+F</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>STMicroelectronics Stellar G, Stellar P</li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table></div> <div class="navbox-styles"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1236075235"></div><div role="navigation" class="navbox" aria-labelledby="Classic_ARM-based_chips" style="padding:3px"><table class="nowraplinks hlist mw-collapsible autocollapse navbox-inner" style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239400231"><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:Classic_ARM-based_chips" title="Template:Classic ARM-based chips"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Classic_ARM-based_chips" title="Template talk:Classic ARM-based chips"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Classic_ARM-based_chips" title="Special:EditPage/Template:Classic ARM-based chips"><abbr title="Edit this template">e</abbr></a></li></ul></div><div id="Classic_ARM-based_chips" style="font-size:114%;margin:0 4em">Classic ARM-based chips</div></th></tr><tr><td class="navbox-abovebelow" colspan="2"><div> <ul><li><a href="/wiki/ARM_Holdings" class="mw-redirect" title="ARM Holdings">ARM Holdings</a></li> <li><a href="/wiki/ARM_architecture_family" title="ARM architecture family">ARM architecture family</a></li> <li><a href="/wiki/List_of_ARM_cores" class="mw-redirect" title="List of ARM cores">List of ARM cores</a></li> <li><a href="/wiki/ARM_Cortex-A" title="ARM Cortex-A">ARM Cortex-A</a></li> <li><a href="/wiki/ARM_Cortex-R" title="ARM Cortex-R">ARM Cortex-R</a></li> <li><a href="/wiki/ARM_Cortex-M" title="ARM Cortex-M">ARM Cortex-M</a></li> <li><a href="/wiki/List_of_ARM_Cortex-M_development_tools" title="List of ARM Cortex-M development tools">List of ARM Cortex-M development tools</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Classic<br />processors</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM7" title="ARM7">ARM7</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Atmel <a href="/wiki/AT91SAM7" class="mw-redirect" title="AT91SAM7">SAM7L, SAM7S, SAM7SE, SAM7X, SAM7XC</a>, <a href="/wiki/AT91CAP7" class="mw-redirect" title="AT91CAP7">AT91CAP7</a>, AT91M, AT91R</li> <li>Cirrus Logic PS7xxx, EP7xxx</li> <li>Mediatek MT62xx</li> <li>NXP <a href="/wiki/NXP_LPC#LPC2000_series" title="NXP LPC">LPC2100, LPC2200, LPC2300, LPC2400</a>, LH7</li> <li>STMicroelectronics STR7</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM9" title="ARM9">ARM9</a></th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Aspeed AST2400</li> <li>Atmel <a href="/wiki/AT91SAM9" class="mw-redirect" title="AT91SAM9">SAM9G, SAM9M, SAM9N, SAM9R, SAM9X, SAM9XE, SAM926x</a>, <a href="/wiki/AT91CAP9" class="mw-redirect" title="AT91CAP9">AT91CAP9</a></li> <li>Cirrus Logic EP9xxx</li> <li>Freescale <a href="/wiki/I.MX#i.MX1x_series" title="I.MX">i.MX1x, i.MX2x</a></li> <li>Nuvoton NUC900</li> <li>NXP <a href="/wiki/NXP_LPC#LPC2900" title="NXP LPC">LPC2900</a>, <a href="/wiki/NXP_LPC#LPC3000_series" title="NXP LPC">LPC3000</a>, LH7A</li> <li>Philips <a href="/wiki/Nexperia_(processor)" title="Nexperia (processor)">Nexperia PNX4008</a></li> <li>Rockchip <a href="/wiki/Rockchip#RK27xx_series" title="Rockchip">RK27xx, RK28xx</a></li> <li>Samsung <a href="/wiki/List_of_Samsung_system-on-a-chips" class="mw-redirect" title="List of Samsung system-on-a-chips">S3C24xx</a></li> <li>STMicroelectronics <a href="/wiki/Nomadik" title="Nomadik">Nomadik STn881x</a></li> <li>STMicroelectronics STR9</li> <li>Texas Instruments <a href="/wiki/OMAP#OMAP_1" title="OMAP">OMAP 1</a>, <a href="/wiki/Sitara_ARM_Processor" class="mw-redirect" title="Sitara ARM Processor">AM1x</a>, <a href="/wiki/Texas_Instruments_DaVinci" title="Texas Instruments DaVinci">DaVinci</a></li> <li>VIA WonderMedia <a href="/wiki/WonderMedia" title="WonderMedia">WM8505/8650</a></li> <li>ZiiLABS <a href="/wiki/ZiiLABS" title="ZiiLABS">ZMS-05</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/ARM11" title="ARM11">ARM11</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Broadcom <a href="/wiki/BCM2835" class="mw-redirect" title="BCM2835">BCM2835</a></li> <li>Cavium CNS3xxx</li> <li>Freescale <a href="/wiki/I.MX#i.MX3x_series" title="I.MX">i.MX3x</a></li> <li>Infotmic IMAPX210/220</li> <li><a href="/wiki/Mindspeed_Technologies" title="Mindspeed Technologies">Mindspeed</a> Comcerto 1000</li> <li>Nvidia <a class="mw-selflink selflink">Tegra APX, 6xx</a></li> <li>Qualcomm <a href="/wiki/MSM7000" title="MSM7000">MSM7000</a>, <a href="/wiki/Snapdragon_(system_on_chip)#Snapdragon_S1" class="mw-redirect" title="Snapdragon (system on chip)">Snapdragon S1</a></li> <li>Samsung <a href="/wiki/List_of_Samsung_system-on-a-chips" class="mw-redirect" title="List of Samsung system-on-a-chips">S3C64xx, S5P64xx</a></li> <li>ST-NXP Wireless <a href="/wiki/Nomadik" title="Nomadik">Nomadik STn882x</a></li> <li>Telechips TCC8902</li> <li>Texas Instruments <a href="/wiki/OMAP#OMAP_2" title="OMAP">OMAP 2</a></li> <li>VIA WonderMedia <a href="/wiki/WonderMedia" title="WonderMedia">WM87x0</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv2a<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Amber_(processor)" title="Amber (processor)">Amber</a> (open FPGA core)</li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv4<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Faraday_Technology" title="Faraday Technology">Faraday</a> FA526, FA626</li> <li>DEC/Intel <a href="/wiki/StrongARM" title="StrongARM">StrongARM</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">ARMv5TE<br />compatible</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li>Intel/Marvell <a href="/wiki/XScale" title="XScale">XScale</a></li> <li><a href="/wiki/Marvell_Technology_Group" class="mw-redirect" title="Marvell Technology Group">Marvell</a> Sheeva, Feroceon, Jolteon, Mohawk</li> <li>Faraday FA606TE, FA616TE, FA626TE, FA726TE</li></ul> </div></td></tr></tbody></table><div></div></td></tr></tbody></table></div></div></td></tr></tbody></table></div> <!-- NewPP limit report Parsed by mw‐web.codfw.main‐f69cdc8f6‐xz5ct Cached time: 20241122144205 Cache expiry: 2592000 Reduced expiry: false Complications: [vary‐revision‐sha1, show‐toc] CPU time usage: 1.750 seconds Real time usage: 1.949 seconds Preprocessor visited node count: 13492/1000000 Post‐expand include size: 819224/2097152 bytes Template argument size: 101183/2097152 bytes Highest expansion depth: 17/100 Expensive parser function count: 7/500 Unstrip recursion depth: 1/20 Unstrip post‐expand size: 705704/5000000 bytes Lua time usage: 0.973/10.000 seconds Lua memory usage: 22148138/52428800 bytes Number of Wikibase entities loaded: 0/400 --> <!-- Transclusion expansion time report (%,ms,calls,template) 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