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Nvidia Tesla - Wikipedia

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of general purpose GPUs</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">This article is about GPGPU cards. For the GPU microarchitecture, see <a href="/wiki/Tesla_(microarchitecture)" title="Tesla (microarchitecture)">Tesla (microarchitecture)</a>.</div> <link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1236090951"><div role="note" class="hatnote navigation-not-searchable">"Tesla P100" redirects here. For the line of performance cars by Tesla Motors (P100D), see <a href="/wiki/Tesla_Model_S" title="Tesla Model S">Tesla Model S</a> and <a href="/wiki/Tesla_Model_X" title="Tesla Model X">Tesla Model X</a>.</div> <p class="mw-empty-elt"> </p> <style data-mw-deduplicate="TemplateStyles:r1257001546">.mw-parser-output .infobox-subbox{padding:0;border:none;margin:-3px;width:auto;min-width:100%;font-size:100%;clear:none;float:none;background-color:transparent}.mw-parser-output .infobox-3cols-child{margin:auto}.mw-parser-output .infobox .navbar{font-size:100%}@media screen{html.skin-theme-clientpref-night .mw-parser-output .infobox-full-data:not(.notheme)>div:not(.notheme)[style]{background:#1f1f23!important;color:#f8f9fa}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .infobox-full-data:not(.notheme) div:not(.notheme){background:#1f1f23!important;color:#f8f9fa}}@media(min-width:640px){body.skin--responsive .mw-parser-output .infobox-table{display:table!important}body.skin--responsive .mw-parser-output .infobox-table>caption{display:table-caption!important}body.skin--responsive .mw-parser-output .infobox-table>tbody{display:table-row-group}body.skin--responsive .mw-parser-output .infobox-table tr{display:table-row!important}body.skin--responsive .mw-parser-output .infobox-table th,body.skin--responsive .mw-parser-output .infobox-table td{padding-left:inherit;padding-right:inherit}}</style><table class="infobox"><caption class="infobox-title">Nvidia Tesla</caption><tbody><tr><td colspan="2" class="infobox-image"><span typeof="mw:File"><a href="/wiki/File:NvidiaTesla.jpg" class="mw-file-description" title="Nvidia Tesla GPU"><img alt="Nvidia Tesla GPU" src="//upload.wikimedia.org/wikipedia/commons/thumb/3/32/NvidiaTesla.jpg/300px-NvidiaTesla.jpg" decoding="async" width="300" height="103" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/3/32/NvidiaTesla.jpg/450px-NvidiaTesla.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/3/32/NvidiaTesla.jpg/600px-NvidiaTesla.jpg 2x" data-file-width="1948" data-file-height="666" /></a></span></td></tr><tr><th scope="row" class="infobox-label">Manufacturer</th><td class="infobox-data"><a href="/wiki/Nvidia" title="Nvidia">Nvidia</a></td></tr><tr><th scope="row" class="infobox-label">Introduced</th><td class="infobox-data">May&#160;2, 2007<span class="noprint">&#59;<br />17 years ago</span><span style="display:none">&#160;(<span class="bday dtstart published updated">2007-05-02</span>)</span></td></tr><tr><th scope="row" class="infobox-label">Discontinued</th><td class="infobox-data">The brand Tesla discontinued in May&#160;2020<span class="noprint">&#59;&#32;4&#160;years ago</span><span style="display:none">&#160;(<span class="dtend">2020-05</span>)</span>, now branded as Nvidia Data Center GPUs</td></tr><tr><th scope="row" class="infobox-label">Type</th><td class="infobox-data">General purpose <a href="/wiki/Graphics_card" title="Graphics card">graphics cards</a></td></tr></tbody></table> <p><b>Nvidia Tesla</b> is the former name for a line of products developed by <a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> targeted at <a href="/wiki/Stream_processing" title="Stream processing">stream processing</a> or <a href="/wiki/GPGPU" class="mw-redirect" title="GPGPU">general-purpose graphics processing units</a> (GPGPU), named after pioneering electrical engineer <a href="/wiki/Nikola_Tesla" title="Nikola Tesla">Nikola Tesla</a>. Its products began using GPUs from the <a href="/wiki/GeForce_8_series" title="GeForce 8 series">G80</a> series, and have continued to accompany the release of new chips. They are programmable using the <a href="/wiki/CUDA" title="CUDA">CUDA</a> or <a href="/wiki/OpenCL" title="OpenCL">OpenCL</a> <a href="/wiki/Application_programming_interface" class="mw-redirect" title="Application programming interface">APIs</a>. </p><p>The Nvidia Tesla product line competed with AMD's <a href="/wiki/Radeon_Instinct" class="mw-redirect" title="Radeon Instinct">Radeon Instinct</a> and Intel <a href="/wiki/Xeon_Phi" title="Xeon Phi">Xeon Phi</a> lines of deep learning and GPU cards. </p><p>Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the <a href="/wiki/Tesla,_Inc." title="Tesla, Inc.">brand of cars</a>.<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> Its new GPUs are branded <b>Nvidia Data Center GPUs</b><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> as in the <a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a>-based A100 GPU.<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> </p><p><a href="/wiki/Nvidia_DGX" title="Nvidia DGX">Nvidia DGX</a> servers feature Nvidia GPGPUs. </p> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="Overview">Overview</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Nvidia_Tesla&amp;action=edit&amp;section=1" title="Edit section: Overview"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <figure class="mw-default-size mw-halign-right" typeof="mw:File/Thumb"><a href="/wiki/File:NvidiaTesla2075.JPG" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/a/af/NvidiaTesla2075.JPG/220px-NvidiaTesla2075.JPG" decoding="async" width="220" height="118" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/a/af/NvidiaTesla2075.JPG/330px-NvidiaTesla2075.JPG 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/a/af/NvidiaTesla2075.JPG/440px-NvidiaTesla2075.JPG 2x" data-file-width="4549" data-file-height="2436" /></a><figcaption>Nvidia Tesla C2075</figcaption></figure> <p>Offering computational power much greater than traditional <a href="/wiki/Central_processing_units" class="mw-redirect" title="Central processing units">microprocessors</a>, the Tesla products targeted the <a href="/wiki/High-performance_computing" title="High-performance computing">high-performance computing</a> market.<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> As of 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=Nvidia_Tesla&amp;action=edit">&#91;update&#93;</a></sup>, Nvidia Teslas power some of the world's fastest <a href="/wiki/Supercomputers" class="mw-redirect" title="Supercomputers">supercomputers</a>, including <a href="/wiki/Summit_(supercomputer)" title="Summit (supercomputer)">Summit</a> at <a href="/wiki/Oak_Ridge_National_Laboratory" title="Oak Ridge National Laboratory">Oak Ridge National Laboratory</a> and <a href="/wiki/Tianhe-1A" class="mw-redirect" title="Tianhe-1A">Tianhe-1A</a>, in <a href="/wiki/Tianjin" title="Tianjin">Tianjin</a>, <a href="/wiki/China" title="China">China</a>. </p><p>Tesla cards have four times the double precision performance of a <a href="/wiki/Fermi_(microarchitecture)" title="Fermi (microarchitecture)">Fermi</a>-based Nvidia GeForce card of similar single precision performance.<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. (June 2015)">citation needed</span></a></i>&#93;</sup> Unlike Nvidia's consumer <a href="/wiki/GeForce" title="GeForce">GeForce</a> cards and professional <a href="/wiki/Nvidia_Quadro" class="mw-redirect" title="Nvidia Quadro">Nvidia Quadro</a> cards, Tesla cards were originally unable to output images to a <a href="/wiki/Computer_monitor" title="Computer monitor">display</a>. However, the last Tesla C-class products included one Dual-Link DVI port.<sup id="cite_ref-cseries_5-0" class="reference"><a href="#cite_note-cseries-5"><span class="cite-bracket">&#91;</span>5<span class="cite-bracket">&#93;</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Applications">Applications</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Nvidia_Tesla&amp;action=edit&amp;section=2" title="Edit section: Applications"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Tesla products are primarily used in simulations and in large-scale calculations (especially floating-point calculations), and for high-end image generation for professional and scientific fields.<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> </p><p>In 2013, the defense industry accounted for less than 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.sticky-header,body.skin-vector-legacy .mw-parser-output .sticky-header-multi,body.skin-vector-2022 .mw-parser-output .sticky-header,body.skin-vector-2022 .mw-parser-output .sticky-header-multi{display:table}body.skin-minerva .mw-parser-output .sticky-header>caption,body.skin-minerva .mw-parser-output .sticky-header-multi>caption{display:table-caption}}@media screen{html.skin-theme-clientpref-night body.skin-minerva .mw-parser-output .sticky-header-multi.wikitable{background-color:#101418}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os body.skin-minerva .mw-parser-output .sticky-header-multi.wikitable{background-color:#101418}}</style> <table class="wikitable sortable sticky-header-multi" style="font-size: 80%; text-align: center;"> <tbody><tr> <th rowspan="2" style="width:16em">Model </th> <th rowspan="2"><a href="/wiki/Microarchitecture" title="Microarchitecture"> Micro-<br />architecture </a> </th> <th rowspan="2">Launch </th> <th rowspan="2">Core </th> <th rowspan="2">Core clock<br />(<a href="/wiki/Hertz" title="Hertz">MHz</a>) </th> <th colspan="3">Shaders </th> <th colspan="5">Memory </th> <th colspan="3">Processing power (T<a href="/wiki/FLOPS" class="mw-redirect" title="FLOPS">FLOPS</a>)<sup id="cite_ref-Calculate_8-0" class="reference"><a href="#cite_note-Calculate-8"><span class="cite-bracket">&#91;</span>a<span class="cite-bracket">&#93;</span></a></sup> </th> <th rowspan="2">CUDA<br />compute<br />capability<sup id="cite_ref-9" class="reference"><a href="#cite_note-9"><span class="cite-bracket">&#91;</span>b<span class="cite-bracket">&#93;</span></a></sup> </th> <th rowspan="2"><a href="/wiki/Thermal_design_power" title="Thermal design power">TDP</a><br />(W) </th> <th rowspan="2">Notes, form factor </th></tr> <tr> <th>CUDA cores<br />(total) </th> <th>Base clock (<a href="/wiki/Hertz" title="Hertz">MHz</a>) </th> <th>Max boost<br />clock (<a href="/wiki/Hertz" title="Hertz">MHz</a>)<sup id="cite_ref-GPUBoost_11-0" class="reference"><a href="#cite_note-GPUBoost-11"><span class="cite-bracket">&#91;</span>c<span class="cite-bracket">&#93;</span></a></sup> </th> <th>Bus type </th> <th>Bus width<br />(<a href="/wiki/Bit" title="Bit">bit</a>) </th> <th>Size<br />(<a href="/wiki/Gigabyte" title="Gigabyte">GB</a>) </th> <th>Clock<br />(<a href="/wiki/Transfer_(computing)" class="mw-redirect" title="Transfer (computing)">MT/s</a>) </th> <th>Bandwidth<br />(<a href="/wiki/Gigabyte" title="Gigabyte">GB</a>/s) </th> <th><a href="/wiki/Half_precision_floating-point_format" class="mw-redirect" title="Half precision floating-point format">Half precision</a><br />Tensor Core FP32 Accumulate </th> <th><a href="/wiki/Single_precision_floating-point_format" class="mw-redirect" title="Single precision floating-point format">Single precision</a><br />(MAD or <a href="/wiki/Fused_multiply%E2%80%93add" class="mw-redirect" title="Fused multiply–add">FMA</a>) </th> <th><a href="/wiki/Double_precision_floating-point_format" class="mw-redirect" title="Double precision floating-point format">Double precision</a><br />(<a href="/wiki/Fused_multiply%E2%80%93add" class="mw-redirect" title="Fused multiply–add">FMA</a>) </th></tr> <tr> <th style="text-align:left;">C870 GPU Computing Module<sup id="cite_ref-Assumed8800_12-0" class="reference"><a href="#cite_note-Assumed8800-12"><span class="cite-bracket">&#91;</span>d<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="9"><a href="/wiki/Tesla_(microarchitecture)" title="Tesla (microarchitecture)">Tesla</a> </td> <td>May 2, 2007 </td> <td>1× G80 </td> <td>600 </td> <td>128 </td> <td>1,350 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>384 </td> <td>1.5 </td> <td>1,600 </td> <td>76.8 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>0.3456 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.0 </td> <td>170.9 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">D870 Deskside Computer<sup id="cite_ref-Assumed8800_12-1" class="reference"><a href="#cite_note-Assumed8800-12"><span class="cite-bracket">&#91;</span>d<span class="cite-bracket">&#93;</span></a></sup> </th> <td>May 2, 2007 </td> <td>2× G80 </td> <td>600 </td> <td>256 </td> <td>1,350 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>2× 384 </td> <td>2× 1.5 </td> <td>1,600 </td> <td>2× 76.8 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>0.6912 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.0 </td> <td>520 </td> <td>Deskside or 3U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs </td></tr> <tr> <th style="text-align:left;">S870 GPU Computing Server<sup id="cite_ref-Assumed8800_12-2" class="reference"><a href="#cite_note-Assumed8800-12"><span class="cite-bracket">&#91;</span>d<span class="cite-bracket">&#93;</span></a></sup> </th> <td>May 2, 2007 </td> <td>4× G80 </td> <td>600 </td> <td>512 </td> <td>1,350 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>4× 384 </td> <td>4× 1.5 </td> <td>1,600 </td> <td>4× 76.8 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.3824 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.0 </td> <td> </td> <td>1U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs, connect via 2× PCIe (×16) </td></tr> <tr> <th style="text-align:left;">C1060 GPU Computing Module<sup id="cite_ref-Assumed280_13-0" class="reference"><a href="#cite_note-Assumed280-13"><span class="cite-bracket">&#91;</span>e<span class="cite-bracket">&#93;</span></a></sup> </th> <td>April 9, 2009 </td> <td>1× GT200 </td> <td>602 </td> <td>240 </td> <td>1,296<sup id="cite_ref-14" class="reference"><a href="#cite_note-14"><span class="cite-bracket">&#91;</span>9<span class="cite-bracket">&#93;</span></a></sup> </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>512 </td> <td>4 </td> <td>1,600 </td> <td>102.4 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>0.62208 </td> <td>0.07776 </td> <td>1.3 </td> <td>187.8 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">S1070 GPU Computing Server "400 configuration"<sup id="cite_ref-Assumed280_13-1" class="reference"><a href="#cite_note-Assumed280-13"><span class="cite-bracket">&#91;</span>e<span class="cite-bracket">&#93;</span></a></sup> </th> <td>June 1, 2008 </td> <td rowspan="2">4× GT200 </td> <td rowspan="2">602 </td> <td rowspan="2">960 </td> <td>1296 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="2">GDDR3 </td> <td rowspan="2">4× 512 </td> <td rowspan="2">4× 4 </td> <td rowspan="2">1,538.4 </td> <td rowspan="2">4× 98.5 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>2.4883 </td> <td>0.311 </td> <td rowspan="2">1.3 </td> <td rowspan="2">800 </td> <td rowspan="2">1U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs, connect via 2× PCIe (×8 or ×16) </td></tr> <tr> <th style="text-align:left;">S1070 GPU Computing Server "500 configuration"<sup id="cite_ref-Assumed280_13-2" class="reference"><a href="#cite_note-Assumed280-13"><span class="cite-bracket">&#91;</span>e<span class="cite-bracket">&#93;</span></a></sup> </th> <td>June 1, 2008 </td> <td>1,440 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>2,.7648 </td> <td>0.3456 </td></tr> <tr> <th style="text-align:left;">S1075 GPU Computing Server<sup id="cite_ref-Assumed280_13-3" class="reference"><a href="#cite_note-Assumed280-13"><span class="cite-bracket">&#91;</span>e<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-15" class="reference"><a href="#cite_note-15"><span class="cite-bracket">&#91;</span>10<span class="cite-bracket">&#93;</span></a></sup> </th> <td>June 1, 2008 </td> <td>4× GT200 </td> <td>602 </td> <td>960 </td> <td>1,440 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>4× 512 </td> <td>4× 4 </td> <td>1,538.4 </td> <td>4× 98.5 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>2.7648 </td> <td>0.3456 </td> <td>1.3 </td> <td> </td> <td>1U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs, connect via 1× PCIe (×8 or ×16) </td></tr> <tr> <th style="text-align:left;">Quadro Plex 2200 D2 Visual Computing System<sup id="cite_ref-Assumed5800_16-0" class="reference"><a href="#cite_note-Assumed5800-16"><span class="cite-bracket">&#91;</span>f<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2008 </td> <td>2× GT200GL </td> <td>648 </td> <td>480 </td> <td>1,296 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>2× 512 </td> <td>2× 4 </td> <td>1,600 </td> <td>2× 102.4 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.2442 </td> <td>0.1555 </td> <td>1.3 </td> <td> </td> <td>Deskside or 3U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs with 4 dual-link DVI outputs </td></tr> <tr> <th style="text-align:left;">Quadro Plex 2200 S4 Visual Computing System<sup id="cite_ref-Assumed5800_16-1" class="reference"><a href="#cite_note-Assumed5800-16"><span class="cite-bracket">&#91;</span>f<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2008 </td> <td>4× GT200GL </td> <td>648 </td> <td>960 </td> <td>1,296 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR3 </td> <td>4× 512 </td> <td>4× 4 </td> <td>1,600 </td> <td>4× 102.4 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>2.4883 </td> <td>0.311 </td> <td>1.3 </td> <td>1,200 </td> <td>1U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs, connect via 2× PCIe (×8 or ×16) </td></tr> <tr> <th style="text-align:left;">C2050 GPU Computing Module<sup id="cite_ref-nvidia1_17-0" class="reference"><a href="#cite_note-nvidia1-17"><span class="cite-bracket">&#91;</span>11<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="8"><a href="/wiki/Fermi_(microarchitecture)" title="Fermi (microarchitecture)">Fermi</a> </td> <td>July 25, 2011 </td> <td rowspan="2">1× GF100 </td> <td rowspan="2">575 </td> <td rowspan="2">448 </td> <td rowspan="2">1,150 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="2">GDDR5 </td> <td rowspan="2">384 </td> <td rowspan="2">3<sup id="cite_ref-ECC_18-0" class="reference"><a href="#cite_note-ECC-18"><span class="cite-bracket">&#91;</span>g<span class="cite-bracket">&#93;</span></a></sup> </td> <td>3000 </td> <td>144 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td rowspan="2">1.0304 </td> <td rowspan="2">0.5152 </td> <td rowspan="2">2.0 </td> <td>247 </td> <td rowspan="2">Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">M2050 GPU Computing Module<sup id="cite_ref-19" class="reference"><a href="#cite_note-19"><span class="cite-bracket">&#91;</span>12<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2011 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,092 </td> <td>148.4 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>225 </td></tr> <tr> <th style="text-align:left;">C2070 GPU Computing Module<sup id="cite_ref-nvidia1_17-1" class="reference"><a href="#cite_note-nvidia1-17"><span class="cite-bracket">&#91;</span>11<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2011 </td> <td rowspan="3">1× GF100 </td> <td rowspan="3">575 </td> <td rowspan="3">448 </td> <td rowspan="3">1,150 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="3">GDDR5 </td> <td rowspan="3">384 </td> <td rowspan="3">6<sup id="cite_ref-ECC_18-1" class="reference"><a href="#cite_note-ECC-18"><span class="cite-bracket">&#91;</span>g<span class="cite-bracket">&#93;</span></a></sup> </td> <td>3,000 </td> <td>144 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td rowspan="3">1.0304 </td> <td rowspan="3">0.5152 </td> <td rowspan="3">2.0 </td> <td>247 </td> <td rowspan="3">Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">C2075 GPU Computing Module<sup id="cite_ref-20" class="reference"><a href="#cite_note-20"><span class="cite-bracket">&#91;</span>13<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2011 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,000 </td> <td>144 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>225 </td></tr> <tr> <th style="text-align:left;">M2070/M2070Q GPU Computing Module<sup id="cite_ref-21" class="reference"><a href="#cite_note-21"><span class="cite-bracket">&#91;</span>14<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2011 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,132 </td> <td>150.336 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>225 </td></tr> <tr> <th style="text-align:left;">M2090 GPU Computing Module<sup id="cite_ref-22" class="reference"><a href="#cite_note-22"><span class="cite-bracket">&#91;</span>15<span class="cite-bracket">&#93;</span></a></sup> </th> <td>July 25, 2011 </td> <td>1× GF110 </td> <td>650 </td> <td>512 </td> <td>1,300 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>GDDR5 </td> <td>384 </td> <td>6<sup id="cite_ref-ECC_18-2" class="reference"><a href="#cite_note-ECC-18"><span class="cite-bracket">&#91;</span>g<span class="cite-bracket">&#93;</span></a></sup> </td> <td>3700 </td> <td>177.6 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.3312 </td> <td>0.6656 </td> <td>2.0 </td> <td>225 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">S2050 GPU Computing Server </th> <td>July 25, 2011 </td> <td rowspan="2">4× GF100 </td> <td rowspan="2">575 </td> <td rowspan="2">1792 </td> <td rowspan="2">1150 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="2">GDDR5 </td> <td rowspan="2">4× 384 </td> <td>4× 3<sup id="cite_ref-ECC_18-3" class="reference"><a href="#cite_note-ECC-18"><span class="cite-bracket">&#91;</span>g<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2">3 </td> <td rowspan="2">4× 148.4 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td rowspan="2">4.1216 </td> <td rowspan="2">2.0608 </td> <td rowspan="2">2.0 </td> <td rowspan="2">900 </td> <td rowspan="2">1U <a href="/wiki/19-inch_rack" title="19-inch rack">rack-mount</a> external GPUs, connect via 2× PCIe (×8 or ×16) </td></tr> <tr> <th style="text-align:left;">S2070 GPU Computing Server </th> <td>July 25, 2011 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>4× 6<sup id="cite_ref-ECC_18-4" class="reference"><a href="#cite_note-ECC-18"><span class="cite-bracket">&#91;</span>g<span class="cite-bracket">&#93;</span></a></sup> </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td></tr> <tr> <th style="text-align:left;">K10 GPU accelerator<sup id="cite_ref-23" class="reference"><a href="#cite_note-23"><span class="cite-bracket">&#91;</span>16<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="5"><a href="/wiki/Kepler_(microarchitecture)" title="Kepler (microarchitecture)">Kepler</a> </td> <td>May 1, 2012 </td> <td>2× GK104 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,072 </td> <td>745 </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">? </td> <td>GDDR5 </td> <td>2× 256 </td> <td>2× 4 </td> <td>5,000 </td> <td>2× 160 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>4.577 </td> <td>0.1907 </td> <td>3.0 </td> <td>225 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">K20 GPU accelerator<sup id="cite_ref-24" class="reference"><a href="#cite_note-24"><span class="cite-bracket">&#91;</span>17<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-25" class="reference"><a href="#cite_note-25"><span class="cite-bracket">&#91;</span>18<span class="cite-bracket">&#93;</span></a></sup> </th> <td>November 12, 2012 </td> <td>1× GK110 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,496 </td> <td>706 </td> <td>758 </td> <td>GDDR5 </td> <td>320 </td> <td>5 </td> <td>5,200 </td> <td>208 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>3.524 </td> <td>1.175 </td> <td>3.5 </td> <td>225 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">K20X GPU accelerator<sup id="cite_ref-26" class="reference"><a href="#cite_note-26"><span class="cite-bracket">&#91;</span>19<span class="cite-bracket">&#93;</span></a></sup> </th> <td>November 12, 2012 </td> <td>1× GK110 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,688 </td> <td>732 </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">? </td> <td>GDDR5 </td> <td>384 </td> <td>6 </td> <td>5,200 </td> <td>250 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>3.935 </td> <td>1.312 </td> <td>3.5 </td> <td>235 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">K40 GPU accelerator<sup id="cite_ref-27" class="reference"><a href="#cite_note-27"><span class="cite-bracket">&#91;</span>20<span class="cite-bracket">&#93;</span></a></sup> </th> <td>October 8, 2013 </td> <td>1× GK110B </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,880 </td> <td>745 </td> <td>875 </td> <td>GDDR5 </td> <td>384 </td> <td>12<sup id="cite_ref-ECC_18-5" class="reference"><a href="#cite_note-ECC-18"><span class="cite-bracket">&#91;</span>g<span class="cite-bracket">&#93;</span></a></sup> </td> <td>6,000 </td> <td>288 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>4.291–5.040 </td> <td>1.430–1.680 </td> <td>3.5 </td> <td>235 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">K80 GPU accelerator<sup id="cite_ref-28" class="reference"><a href="#cite_note-28"><span class="cite-bracket">&#91;</span>21<span class="cite-bracket">&#93;</span></a></sup> </th> <td>November 17, 2014 </td> <td>2× GK210 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>4,992 </td> <td>560 </td> <td>875 </td> <td>GDDR5 </td> <td>2× 384 </td> <td>2× 12 </td> <td>5,000 </td> <td>2× 240 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>5.591–8.736 </td> <td>1.864–2.912 </td> <td>3.7 </td> <td>300 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">M4 GPU accelerator<sup id="cite_ref-anandtech1_29-0" class="reference"><a href="#cite_note-anandtech1-29"><span class="cite-bracket">&#91;</span>22<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-nvidia2_30-0" class="reference"><a href="#cite_note-nvidia2-30"><span class="cite-bracket">&#91;</span>23<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="5"><a href="/wiki/Maxwell_(microarchitecture)" title="Maxwell (microarchitecture)">Maxwell</a> </td> <td>November 10, 2015 </td> <td>1× GM206 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>1,024 </td> <td>872 </td> <td>1,072 </td> <td>GDDR5 </td> <td>128 </td> <td>4 </td> <td>5,500 </td> <td>88 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>1.786–2.195 </td> <td>0.05581–0.06861 </td> <td>5.2 </td> <td>50–75 </td> <td>Internal PCIe GPU (half-height, single-slot) </td></tr> <tr> <th style="text-align:left;">M6 GPU accelerator<sup id="cite_ref-31" class="reference"><a href="#cite_note-31"><span class="cite-bracket">&#91;</span>24<span class="cite-bracket">&#93;</span></a></sup> </th> <td>August 30, 2015 </td> <td>1× GM204-995-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>1536 </td> <td>722 </td> <td>1,051 </td> <td>GDDR5 </td> <td>256 </td> <td>8 </td> <td>4,600 </td> <td>147.2 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>2.218–3.229 </td> <td>0.0693–0.1009 </td> <td>5.2 </td> <td>75–100 </td> <td>Internal MXM GPU </td></tr> <tr> <th style="text-align:left;">M10 GPU accelerator<sup id="cite_ref-32" class="reference"><a href="#cite_note-32"><span class="cite-bracket">&#91;</span>25<span class="cite-bracket">&#93;</span></a></sup> </th> <td>May 18th, 2016 </td> <td>4× GM107 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,560 </td> <td>1,033 </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">? </td> <td>GDDR5 </td> <td>4× 128 </td> <td>4× 8 </td> <td>5,188 </td> <td>4× 83 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>5.289 </td> <td>0.1653 </td> <td>5.2 </td> <td>225 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">M40 GPU accelerator<sup id="cite_ref-nvidia2_30-1" class="reference"><a href="#cite_note-nvidia2-30"><span class="cite-bracket">&#91;</span>23<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-33" class="reference"><a href="#cite_note-33"><span class="cite-bracket">&#91;</span>26<span class="cite-bracket">&#93;</span></a></sup> </th> <td>November 10, 2015 </td> <td>1× GM200 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,072 </td> <td>948 </td> <td>1,114 </td> <td>GDDR5 </td> <td>384 </td> <td>12 or 24 </td> <td>6,000 </td> <td>288 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>5.825–6.844 </td> <td>0.182–0.2139 </td> <td>5.2 </td> <td>250 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">M60 GPU accelerator<sup id="cite_ref-34" class="reference"><a href="#cite_note-34"><span class="cite-bracket">&#91;</span>27<span class="cite-bracket">&#93;</span></a></sup> </th> <td>August 30, 2015 </td> <td>2× GM204-895-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>4,096 </td> <td>899 </td> <td>1,178 </td> <td>GDDR5 </td> <td>2× 256 </td> <td>2× 8 </td> <td>5,000 </td> <td>2× 160 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>7.365–9.650 </td> <td>0.2301–0.3016 </td> <td>5.2 </td> <td>225–300 </td> <td>Internal PCIe GPU (full-height, dual-slot) </td></tr> <tr> <th style="text-align:left;">P4 GPU accelerator<sup id="cite_ref-Anand_P40_35-0" class="reference"><a href="#cite_note-Anand_P40-35"><span class="cite-bracket">&#91;</span>28<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="6"><a href="/wiki/Pascal_(microarchitecture)" title="Pascal (microarchitecture)">Pascal</a> </td> <td>September 13, 2016 </td> <td>1× GP104 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,560 </td> <td>810 </td> <td>1,063 </td> <td>GDDR5 </td> <td>256 </td> <td>8 </td> <td>6,000 </td> <td>192.0 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>4.147–5.443 </td> <td>0.1296–0.1701 </td> <td>6.1 </td> <td>50-75 </td> <td><a href="/wiki/PCIe" class="mw-redirect" title="PCIe">PCIe</a> card </td></tr> <tr> <th style="text-align:left;">P6 GPU accelerator<sup id="cite_ref-36" class="reference"><a href="#cite_note-36"><span class="cite-bracket">&#91;</span>29<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-37" class="reference"><a href="#cite_note-37"><span class="cite-bracket">&#91;</span>30<span class="cite-bracket">&#93;</span></a></sup> </th> <td>March 24, 2017 </td> <td>1× GP104-995-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,048 </td> <td>1,012 </td> <td>1,506 </td> <td>GDDR5 </td> <td>256 </td> <td>16 </td> <td>3,003 </td> <td>192.2 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>6.169 </td> <td>0.1928 </td> <td>6.1 </td> <td>90 </td> <td><a href="/wiki/Mobile_PCI_Express_Module" title="Mobile PCI Express Module">MXM</a> card </td></tr> <tr> <th style="text-align:left;">P40 GPU accelerator<sup id="cite_ref-Anand_P40_35-1" class="reference"><a href="#cite_note-Anand_P40-35"><span class="cite-bracket">&#91;</span>28<span class="cite-bracket">&#93;</span></a></sup> </th> <td>September 13, 2016 </td> <td>1× GP102 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,840 </td> <td>1,303 </td> <td>1,531 </td> <td>GDDR5 </td> <td>384 </td> <td>24 </td> <td>7,200 </td> <td>345.6 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>10.007–11.758 </td> <td>0.3127–0.3674 </td> <td>6.1 </td> <td>250 </td> <td><a href="/wiki/PCIe" class="mw-redirect" title="PCIe">PCIe</a> card </td></tr> <tr> <th style="text-align:left;">P100 GPU accelerator (mezzanine)<sup id="cite_ref-38" class="reference"><a href="#cite_note-38"><span class="cite-bracket">&#91;</span>31<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-39" class="reference"><a href="#cite_note-39"><span class="cite-bracket">&#91;</span>32<span class="cite-bracket">&#93;</span></a></sup> </th> <td>April 5, 2016 </td> <td>1× GP100-890-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="3">3,584 </td> <td>1,328 </td> <td>1,480 </td> <td rowspan="3"><a href="/wiki/High_Bandwidth_Memory" title="High Bandwidth Memory">HBM2</a> </td> <td rowspan="2">4,096 </td> <td rowspan="2">16 </td> <td rowspan="3">1,430 </td> <td rowspan="2">732 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>9.519–10.609 </td> <td>4.760–5.304 </td> <td rowspan="3">6.0 </td> <td>300 </td> <td><a href="/wiki/SXM_(socket)" title="SXM (socket)">SXM</a> card </td></tr> <tr> <th style="text-align:left;">P100 GPU accelerator (16&#160;GB card)<sup id="cite_ref-P100-PCIe_40-0" class="reference"><a href="#cite_note-P100-PCIe-40"><span class="cite-bracket">&#91;</span>33<span class="cite-bracket">&#93;</span></a></sup> </th> <td>June 20, 2016 </td> <td rowspan="2">1× GP100 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="2">1126 </td> <td rowspan="2">1303 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>8,071‒9,340 </td> <td>4,036‒4,670 </td> <td rowspan="2">250 </td> <td rowspan="2"><a href="/wiki/PCIe" class="mw-redirect" title="PCIe">PCIe</a> card </td></tr> <tr> <th style="text-align:left;">P100 GPU accelerator (12&#160;GB card)<sup id="cite_ref-P100-PCIe_40-1" class="reference"><a href="#cite_note-P100-PCIe-40"><span class="cite-bracket">&#91;</span>33<span class="cite-bracket">&#93;</span></a></sup> </th> <td>June 20, 2016 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,072 </td> <td>12 </td> <td>549 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">No </td> <td>8.071‒9.340 </td> <td>4.036‒4.670 </td></tr> <tr> <th style="text-align:left;">V100 GPU accelerator (mezzanine)<sup id="cite_ref-v100_1_41-0" class="reference"><a href="#cite_note-v100_1-41"><span class="cite-bracket">&#91;</span>34<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-v100_2_42-0" class="reference"><a href="#cite_note-v100_2-42"><span class="cite-bracket">&#91;</span>35<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-V100_3_43-0" class="reference"><a href="#cite_note-V100_3-43"><span class="cite-bracket">&#91;</span>36<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="3"><a href="/wiki/Volta_(microarchitecture)" title="Volta (microarchitecture)">Volta</a> </td> <td>May 10, 2017 </td> <td>1× GV100-895-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td rowspan="3">5120 </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>1,455 </td> <td rowspan="3">HBM2 </td> <td rowspan="3">4,096 </td> <td rowspan="2">16 or 32 </td> <td rowspan="2">1,750 </td> <td rowspan="2">900 </td> <td>119.192 </td> <td>14.899 </td> <td>7.450 </td> <td rowspan="3">7.0 </td> <td>300 </td> <td><a href="/wiki/SXM_(socket)" title="SXM (socket)">SXM</a> card </td></tr> <tr> <th style="text-align:left;">V100 GPU accelerator (PCIe card)<sup id="cite_ref-v100_1_41-1" class="reference"><a href="#cite_note-v100_1-41"><span class="cite-bracket">&#91;</span>34<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-v100_2_42-1" class="reference"><a href="#cite_note-v100_2-42"><span class="cite-bracket">&#91;</span>35<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-V100_3_43-1" class="reference"><a href="#cite_note-V100_3-43"><span class="cite-bracket">&#91;</span>36<span class="cite-bracket">&#93;</span></a></sup> </th> <td>June 21, 2017 </td> <td>1× GV100 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </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>1,370 </td> <td>112.224 </td> <td>14.028 </td> <td>7.014 </td> <td>250 </td> <td>PCIe card </td></tr> <tr> <th style="text-align:left;">V100 GPU accelerator (PCIe FHHL card) </th> <td>March 27, 2018 </td> <td>1× GV100 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>937 </td> <td>1,290 </td> <td>16 </td> <td>1,620 </td> <td>829.44 </td> <td>105.68 </td> <td>13.21 </td> <td>6.605 </td> <td>250 </td> <td>PCIe FHHL card </td></tr> <tr> <th style="text-align:left;">T4 GPU accelerator (PCIe card)<sup id="cite_ref-T4_44-0" class="reference"><a href="#cite_note-T4-44"><span class="cite-bracket">&#91;</span>37<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-45" class="reference"><a href="#cite_note-45"><span class="cite-bracket">&#91;</span>38<span class="cite-bracket">&#93;</span></a></sup> </th> <td><a href="/wiki/Turing_(microarchitecture)" title="Turing (microarchitecture)">Turing</a> </td> <td>September 12, 2018 </td> <td>1× TU104-895-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>2,560 </td> <td>585 </td> <td>1,590 </td> <td>GDDR6 </td> <td>256 </td> <td>16 </td> <td>5,000 </td> <td>320 </td> <td>64.8 </td> <td>8.1 </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>7.5 </td> <td>70 </td> <td>PCIe card </td></tr> <tr> <th style="text-align:left;">A2 GPU accelerator (PCIe card)<sup id="cite_ref-A2_46-0" class="reference"><a href="#cite_note-A2-46"><span class="cite-bracket">&#91;</span>39<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="6"><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere</a> </td> <td>November 10, 2021 </td> <td>1× GA107 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>1,280 </td> <td>1,440 </td> <td>1,770 </td> <td>GDDR6 </td> <td>128 </td> <td>16 </td> <td>6,252 </td> <td>200 </td> <td>18.124 </td> <td>4.531 </td> <td>0.14 </td> <td>8.6 </td> <td>40-60 </td> <td>PCIe card (half height, single-slot) </td></tr> <tr> <th style="text-align:left;">A10 GPU accelerator (PCIe card)<sup id="cite_ref-A10_47-0" class="reference"><a href="#cite_note-A10-47"><span class="cite-bracket">&#91;</span>40<span class="cite-bracket">&#93;</span></a></sup> </th> <td>April 12, 2021 </td> <td>1× GA102-890-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>9,216 </td> <td>885 </td> <td>1,695 </td> <td>GDDR6 </td> <td>384 </td> <td>24 </td> <td>6,252 </td> <td>600 </td> <td>124.96 </td> <td>31.24 </td> <td>0.976 </td> <td>8.6 </td> <td>150 </td> <td>PCIe card (single-slot) </td></tr> <tr> <th style="text-align:left;">A16 GPU accelerator (PCIe card)<sup id="cite_ref-A16_48-0" class="reference"><a href="#cite_note-A16-48"><span class="cite-bracket">&#91;</span>41<span class="cite-bracket">&#93;</span></a></sup> </th> <td>April 12, 2021 </td> <td>4× GA107 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>4× 1,280 </td> <td>885 </td> <td>1,695 </td> <td>GDDR6 </td> <td>4× 128 </td> <td>4× 16 </td> <td>7,242 </td> <td>4× 200 </td> <td>4x 18.432 </td> <td>4× 4.608 </td> <td>1.0848 </td> <td>8.6 </td> <td>250 </td> <td>PCIe card (dual-slot) </td></tr> <tr> <th style="text-align:left;">A30 GPU accelerator (PCIe card)<sup id="cite_ref-A30_49-0" class="reference"><a href="#cite_note-A30-49"><span class="cite-bracket">&#91;</span>42<span class="cite-bracket">&#93;</span></a></sup> </th> <td>April 12, 2021 </td> <td>1× GA100 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>3,584 </td> <td>930 </td> <td>1,440 </td> <td>HBM2 </td> <td>3,072 </td> <td>24 </td> <td>1,215 </td> <td>933.1 </td> <td>165.12 </td> <td>10.32 </td> <td>5.161 </td> <td>8.0 </td> <td>165 </td> <td>PCIe card (dual-slot) </td></tr> <tr> <th style="text-align:left;">A40 GPU accelerator (PCIe card)<sup id="cite_ref-A40_50-0" class="reference"><a href="#cite_note-A40-50"><span class="cite-bracket">&#91;</span>43<span class="cite-bracket">&#93;</span></a></sup> </th> <td>October 5, 2020 </td> <td>1× GA102 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>10,752 </td> <td>1,305 </td> <td>1,740 </td> <td>GDDR6 </td> <td>384 </td> <td>48 </td> <td>7,248 </td> <td>695.8 </td> <td>149.68 </td> <td>37.42 </td> <td>1.168 </td> <td>8.6 </td> <td>300 </td> <td>PCIe card (dual-slot) </td></tr> <tr> <th style="text-align:left;">A100 GPU accelerator (PCIe card)<sup id="cite_ref-A100_51-0" class="reference"><a href="#cite_note-A100-51"><span class="cite-bracket">&#91;</span>44<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-52" class="reference"><a href="#cite_note-52"><span class="cite-bracket">&#91;</span>45<span class="cite-bracket">&#93;</span></a></sup> </th> <td>May 14, 2020<sup id="cite_ref-anand-A100_53-0" class="reference"><a href="#cite_note-anand-A100-53"><span class="cite-bracket">&#91;</span>46<span class="cite-bracket">&#93;</span></a></sup> </td> <td>1× GA100-883AA-A1 </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>6,912 </td> <td>765 </td> <td>1410 </td> <td>HBM2 </td> <td>5,120 </td> <td>40 or 80 </td> <td>1,215 </td> <td>1,555 </td> <td>312.0 </td> <td>19.5 </td> <td>9.7 </td> <td>8.0 </td> <td>250 </td> <td>PCIe card (dual-slot) </td></tr> <tr> <th style="text-align:left;">H100 GPU accelerator (PCIe card)<sup id="cite_ref-54" class="reference"><a href="#cite_note-54"><span class="cite-bracket">&#91;</span>47<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="2"><a href="/wiki/Hopper_(microarchitecture)" title="Hopper (microarchitecture)">Hopper</a> </td> <td rowspan="2">March 22, 2022<sup id="cite_ref-55" class="reference"><a href="#cite_note-55"><span class="cite-bracket">&#91;</span>48<span class="cite-bracket">&#93;</span></a></sup> </td> <td rowspan="2">1× GH100<sup id="cite_ref-56" class="reference"><a href="#cite_note-56"><span class="cite-bracket">&#91;</span>49<span class="cite-bracket">&#93;</span></a></sup> </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>14,592 </td> <td>1,065 </td> <td>1,755 CUDA 1620 TC </td> <td>HBM2E </td> <td>5120 </td> <td>80 </td> <td>1,000 </td> <td>2,039 </td> <td>756.449 </td> <td>51.2 </td> <td>25.6 </td> <td>9.0 </td> <td>350 </td> <td>PCIe card (dual-slot) </td></tr> <tr> <th style="text-align:left;">H100 GPU accelerator (SXM card) </th> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>16,896 </td> <td>1,065 </td> <td>1,980 CUDA 1,830 TC </td> <td>HBM3 </td> <td>5,120 </td> <td>80 </td> <td>1,500 </td> <td>3,352 </td> <td>989.43 </td> <td>66.9 </td> <td>33.5 </td> <td>9.0 </td> <td>700 </td> <td><a href="/wiki/SXM_(socket)" title="SXM (socket)">SXM</a> card </td></tr> <tr> <th style="text-align:left;">L40 GPU accelerator<sup id="cite_ref-57" class="reference"><a href="#cite_note-57"><span class="cite-bracket">&#91;</span>50<span class="cite-bracket">&#93;</span></a></sup> </th> <td rowspan="2"><a href="/wiki/Ada_Lovelace_(microarchitecture)" title="Ada Lovelace (microarchitecture)">Ada Lovelace</a> </td> <td>October 13, 2022 </td> <td>1× AD102<sup id="cite_ref-58" class="reference"><a href="#cite_note-58"><span class="cite-bracket">&#91;</span>51<span class="cite-bracket">&#93;</span></a></sup> </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>18,176 </td> <td>735 </td> <td>2,490 </td> <td>GDDR6 </td> <td>384 </td> <td>48 </td> <td>2,250 </td> <td>864 </td> <td>362.066 </td> <td>90.516 </td> <td>1.414 </td> <td>8.9 </td> <td>300 </td> <td>PCIe card (dual-slot) </td></tr> <tr> <th style="text-align:left;">L4 GPU accelerator<sup id="cite_ref-59" class="reference"><a href="#cite_note-59"><span class="cite-bracket">&#91;</span>52<span class="cite-bracket">&#93;</span></a></sup><sup id="cite_ref-60" class="reference"><a href="#cite_note-60"><span class="cite-bracket">&#91;</span>53<span class="cite-bracket">&#93;</span></a></sup> </th> <td>March 21, 2023<sup id="cite_ref-61" class="reference"><a href="#cite_note-61"><span class="cite-bracket">&#91;</span>54<span class="cite-bracket">&#93;</span></a></sup> </td> <td>1x AD104<sup id="cite_ref-62" class="reference"><a href="#cite_note-62"><span class="cite-bracket">&#91;</span>55<span class="cite-bracket">&#93;</span></a></sup> </td> <td data-sort-value="" style="background: var(--background-color-interactive, #ececec); color: var(--color-base, inherit); vertical-align: middle; text-align: center;" class="table-na">— </td> <td>7,424 </td> <td>795 </td> <td>2,040 </td> <td>GDDR6 </td> <td>192 </td> <td>24 </td> <td>1,563 </td> <td>300 </td> <td>121.0 </td> <td>30.3 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.navbar-brackets::after{margin-left:-0.125em;content:" ]"}.mw-parser-output .navbar li{word-spacing:-0.125em}.mw-parser-output .navbar a>span,.mw-parser-output .navbar a>abbr{text-decoration:inherit}.mw-parser-output .navbar-mini abbr{font-variant:small-caps;border-bottom:none;text-decoration:none;cursor:inherit}.mw-parser-output .navbar-ct-full{font-size:114%;margin:0 7em}.mw-parser-output .navbar-ct-mini{font-size:114%;margin:0 4em}html.skin-theme-clientpref-night .mw-parser-output .navbar li a abbr{color:var(--color-base)!important}@media(prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .navbar li a abbr{color:var(--color-base)!important}}@media print{.mw-parser-output .navbar{display:none!important}}</style><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:Nvidia_Tesla" title="Template:Nvidia Tesla"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Nvidia_Tesla" title="Template talk:Nvidia Tesla"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Nvidia_Tesla" title="Special:EditPage/Template:Nvidia Tesla"><abbr title="Edit this template">e</abbr></a></li></ul></div> <p>Notes </p> <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-lower-alpha"> <div class="mw-references-wrap"><ol class="references"> <li id="cite_note-Calculate-8"><span class="mw-cite-backlink"><b><a href="#cite_ref-Calculate_8-0">^</a></b></span> <span class="reference-text">To calculate the processing power see <a href="/wiki/Tesla_(microarchitecture)#Performance" title="Tesla (microarchitecture)">Tesla (microarchitecture)#Performance</a>, <a href="/wiki/Fermi_(microarchitecture)#Performance" title="Fermi (microarchitecture)">Fermi (microarchitecture)#Performance</a>, <a href="/wiki/Kepler_(microarchitecture)#Performance" title="Kepler (microarchitecture)">Kepler (microarchitecture)#Performance</a>, <a href="/wiki/Maxwell_(microarchitecture)#Performance" title="Maxwell (microarchitecture)">Maxwell (microarchitecture)#Performance</a>, or <a href="/wiki/Pascal_(microarchitecture)#Performance" title="Pascal (microarchitecture)">Pascal (microarchitecture)#Performance</a>. A number range specifies the minimum and maximum processing power at, respectively, the base clock and maximum boost clock.</span> </li> <li id="cite_note-9"><span class="mw-cite-backlink"><b><a href="#cite_ref-9">^</a></b></span> <span class="reference-text">Core architecture version according to the <a href="/wiki/CUDA" title="CUDA">CUDA</a> programming guide.</span> </li> <li id="cite_note-GPUBoost-11"><span class="mw-cite-backlink"><b><a href="#cite_ref-GPUBoost_11-0">^</a></b></span> <span class="reference-text">GPU Boost is a default feature that increases the core clock rate while remaining under the card's predetermined power budget. Multiple boost clocks are available, but this table lists the highest clock supported by each card.<sup id="cite_ref-10" class="reference"><a href="#cite_note-10"><span class="cite-bracket">&#91;</span>8<span class="cite-bracket">&#93;</span></a></sup></span> </li> <li id="cite_note-Assumed8800-12"><span class="mw-cite-backlink">^ <a href="#cite_ref-Assumed8800_12-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-Assumed8800_12-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-Assumed8800_12-2"><sup><i><b>c</b></i></sup></a></span> <span class="reference-text">Specifications not specified by Nvidia assumed to be based on the <a href="/wiki/GeForce_8800" class="mw-redirect" title="GeForce 8800">GeForce 8800</a> GTX</span> </li> <li id="cite_note-Assumed280-13"><span class="mw-cite-backlink">^ <a href="#cite_ref-Assumed280_13-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-Assumed280_13-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-Assumed280_13-2"><sup><i><b>c</b></i></sup></a> <a href="#cite_ref-Assumed280_13-3"><sup><i><b>d</b></i></sup></a></span> <span class="reference-text">Specifications not specified by Nvidia assumed to be based on the <a href="/wiki/GeForce_200_series#GeForce_GTX_200" title="GeForce 200 series">GeForce GTX 280</a></span> </li> <li id="cite_note-Assumed5800-16"><span class="mw-cite-backlink">^ <a href="#cite_ref-Assumed5800_16-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-Assumed5800_16-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text">Specifications not specified by Nvidia assumed to be based on the Quadro FX 5800</span> </li> <li id="cite_note-ECC-18"><span class="mw-cite-backlink">^ <a href="#cite_ref-ECC_18-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-ECC_18-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-ECC_18-2"><sup><i><b>c</b></i></sup></a> <a href="#cite_ref-ECC_18-3"><sup><i><b>d</b></i></sup></a> <a href="#cite_ref-ECC_18-4"><sup><i><b>e</b></i></sup></a> <a href="#cite_ref-ECC_18-5"><sup><i><b>f</b></i></sup></a></span> <span class="reference-text">With ECC on, a portion of the dedicated memory is used for ECC bits, so the available user memory is reduced by 12.5%. (e.g. 4 GB total memory yields 3.5 GB of user available memory.)</span> </li> </ol></div></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=Nvidia_Tesla&amp;action=edit&amp;section=4" title="Edit section: See also"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><a href="/wiki/List_of_Nvidia_graphics_processing_units" title="List of Nvidia graphics processing units">List of Nvidia graphics processing units</a></li> <li><a href="/wiki/Nvidia_Tesla_Personal_Supercomputer" title="Nvidia Tesla Personal Supercomputer">Nvidia Tesla Personal Supercomputer</a></li> <li><a href="/wiki/Ampere_(microarchitecture)" title="Ampere (microarchitecture)">Ampere (microarchitecture)</a></li> <li><a href="/wiki/Fastra_II" title="Fastra II">Fastra II</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=Nvidia_Tesla&amp;action=edit&amp;section=5" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239543626"><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 id="CITEREFCasas2020" class="citation web cs1">Casas, Alex (19 May 2020). <a rel="nofollow" class="external text" href="https://wccftech.com/nvidia-drops-tesla-brand-to-avoid-confusion-with-tesla/">"NVIDIA Drops Tesla Brand To Avoid Confusion With Tesla"</a>. <i>Wccftech</i><span class="reference-accessdate">. Retrieved <span class="nowrap">8 July</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=Wccftech&amp;rft.atitle=NVIDIA+Drops+Tesla+Brand+To+Avoid+Confusion+With+Tesla&amp;rft.date=2020-05-19&amp;rft.aulast=Casas&amp;rft.aufirst=Alex&amp;rft_id=https%3A%2F%2Fwccftech.com%2Fnvidia-drops-tesla-brand-to-avoid-confusion-with-tesla%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ANvidia+Tesla" class="Z3988"></span></span> </li> <li id="cite_note-2"><span class="mw-cite-backlink"><b><a href="#cite_ref-2">^</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/data-center-gpus/">"NVIDIA Supercomputing Solutions"</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+Supercomputing+Solutions&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fdata-center%2Fdata-center-gpus%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ANvidia+Tesla" class="Z3988"></span></span> </li> <li id="cite_note-3"><span class="mw-cite-backlink"><b><a href="#cite_ref-3">^</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/a100/">"NVIDIA A100 GPUs Power the Modern Data Center"</a>. <i>NVIDIA</i><span class="reference-accessdate">. Retrieved <span class="nowrap">8 July</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=NVIDIA&amp;rft.atitle=NVIDIA+A100+GPUs+Power+the+Modern+Data+Center&amp;rft_id=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fdata-center%2Fa100%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ANvidia+Tesla" class="Z3988"></span></span> </li> <li id="cite_note-4"><span class="mw-cite-backlink"><b><a href="#cite_ref-4">^</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/tesla-supercomputing-solutions.html">"High Performance Computing - Supercomputing with Tesla GPUs"</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=High+Performance+Computing+-+Supercomputing+with+Tesla+GPUs&amp;rft_id=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Ftesla-supercomputing-solutions.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ANvidia+Tesla" class="Z3988"></span></span> </li> <li id="cite_note-cseries-5"><span class="mw-cite-backlink"><b><a href="#cite_ref-cseries_5-0">^</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/personal-supercomputing.html">"Professional Workstation Solutions"</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=Professional+Workstation+Solutions&amp;rft_id=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Fpersonal-supercomputing.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ANvidia+Tesla" class="Z3988"></span></span> </li> <li id="cite_note-6"><span class="mw-cite-backlink"><b><a href="#cite_ref-6">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="http://www.nvidia.com/docs/IO/43395/tesla_technical_brief.pdf">Tesla Technical Brief (PDF)</a></span> </li> <li id="cite_note-7"><span class="mw-cite-backlink"><b><a href="#cite_ref-7">^</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.theregister.com/2013/07/24/nvidia_geospatial_intelligence_gpu/">"Nvidia chases defense, intelligence ISVs with GPUs"</a>. <i>www.theregister.com</i><span class="reference-accessdate">. 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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 class="mw-selflink selflink">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 href="/wiki/Tegra#Tegra_X1" title="Tegra">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 href="/wiki/Tegra" title="Tegra">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:r1129693374"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1236075235"></div><div role="navigation" class="navbox" aria-labelledby="Graphics_processing_unit" style="padding:3px"><table class="nowraplinks 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:Graphics_Processing_Unit" title="Template:Graphics Processing Unit"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Graphics_Processing_Unit" title="Template talk:Graphics Processing Unit"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Graphics_Processing_Unit" title="Special:EditPage/Template:Graphics Processing Unit"><abbr title="Edit this template">e</abbr></a></li></ul></div><div id="Graphics_processing_unit" style="font-size:114%;margin:0 4em"><a href="/wiki/Graphics_processing_unit" title="Graphics processing unit">Graphics processing unit</a></div></th></tr><tr><th scope="row" class="navbox-group" style="width:1%">GPU</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" 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%">Desktop</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/List_of_Intel_graphics_processing_units" title="List of Intel graphics processing units">Intel</a> <ul><li><a href="/wiki/Intel_Graphics_Technology" title="Intel Graphics Technology">GT</a></li> <li><a href="/wiki/Intel_Xe" title="Intel Xe">Xe</a></li> <li><a href="/wiki/Intel_Arc" title="Intel Arc">Arc</a></li></ul></li> <li><a href="/wiki/List_of_Nvidia_graphics_processing_units" title="List of Nvidia graphics processing units">Nvidia</a> <ul><li><a href="/wiki/GeForce" title="GeForce">GeForce</a></li> <li><a href="/wiki/Quadro" title="Quadro">Quadro</a></li> <li><a class="mw-selflink selflink">Tesla</a></li> <li><a href="/wiki/Nvidia_Tegra" class="mw-redirect" title="Nvidia Tegra">Tegra</a></li></ul></li> <li><a href="/wiki/List_of_AMD_graphics_processing_units" title="List of AMD graphics processing units">AMD</a> <ul><li><a href="/wiki/Radeon" title="Radeon">Radeon</a></li> <li><a href="/wiki/Radeon_Pro" title="Radeon Pro">Radeon Pro</a></li> <li><a href="/wiki/AMD_Instinct" title="AMD Instinct">Instinct</a></li></ul></li> <li><a href="/wiki/Matrox" title="Matrox">Matrox</a></li> <li><a href="/wiki/InfiniteReality" title="InfiniteReality">InfiniteReality</a></li> <li><a href="/wiki/NEC_%C2%B5PD7220" class="mw-redirect" title="NEC µPD7220">NEC µPD7220</a></li> <li><a href="/wiki/Comparison_of_3dfx_graphics_processing_units" class="mw-redirect" title="Comparison of 3dfx graphics processing units">3dfx Voodoo</a></li> <li><a href="/wiki/S3_Graphics" title="S3 Graphics">S3</a></li> <li><a href="/wiki/Glaze3D" title="Glaze3D">Glaze3D</a></li> <li><a href="/wiki/Apple_silicon" title="Apple silicon">Apple silicon</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Mobile</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/Adreno" title="Adreno">Adreno</a></li> <li><a href="/wiki/Apple_silicon" title="Apple silicon">Apple silicon</a></li> <li><a href="/wiki/Mali_(GPU)" class="mw-redirect" title="Mali (GPU)">Mali</a></li> <li><a href="/wiki/PowerVR" title="PowerVR">PowerVR</a></li> <li><a href="/wiki/VideoCore" title="VideoCore">VideoCore</a></li> <li><a href="/wiki/Vivante_Corporation" title="Vivante Corporation">Vivante</a></li> <li><a href="/wiki/Imageon" title="Imageon">Imageon</a></li> <li><a href="/wiki/Intel_2700G" title="Intel 2700G">Intel 2700G</a></li></ul> </div></td></tr></tbody></table><div></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Architecture</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Compute_kernel" title="Compute kernel">Compute kernel</a></li> <li><a href="/wiki/Semiconductor_device_fabrication" title="Semiconductor device fabrication">Fabrication</a> <ul><li><a href="/wiki/CMOS" title="CMOS">CMOS</a></li> <li><a href="/wiki/FinFET" class="mw-redirect" title="FinFET">FinFET</a></li> <li><a href="/wiki/MOSFET" title="MOSFET">MOSFET</a></li></ul></li> <li><a href="/wiki/Graphics_pipeline" title="Graphics pipeline">Graphics pipeline</a> <ul><li><a href="/wiki/Geometry_pipelines" title="Geometry pipelines">Geometry</a></li> <li><a href="/wiki/Vertex_pipeline" title="Vertex pipeline">Vertex</a></li></ul></li> <li><a href="/wiki/High-dynamic-range_rendering" title="High-dynamic-range rendering">HDR rendering</a></li> <li><a href="/wiki/Multiply%E2%80%93accumulate_operation" title="Multiply–accumulate operation">MAC</a></li> <li><a href="/wiki/Rasterisation" title="Rasterisation">Rasterisation</a> <ul><li><a href="/wiki/Shading" title="Shading">Shading</a></li></ul></li> <li><a href="/wiki/Ray-tracing_hardware" title="Ray-tracing hardware">Ray-tracing</a></li> <li><a href="/wiki/Single_instruction,_multiple_data" title="Single instruction, multiple data">SIMD</a> <ul><li><a href="/wiki/Single_instruction,_multiple_threads" title="Single instruction, multiple threads">SIMT</a></li></ul></li> <li><a href="/wiki/Tessellation_(computer_graphics)" title="Tessellation (computer graphics)">Tessellation</a></li> <li><a href="/wiki/Transform,_clipping,_and_lighting" title="Transform, clipping, and lighting">T&amp;L</a></li> <li><a href="/wiki/Tiled_rendering" title="Tiled rendering">Tiled rendering</a></li> <li><a href="/wiki/Unified_shader_model" title="Unified shader model">Unified shader model</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Components</th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Blitter" title="Blitter">Blitter</a></li> <li><a href="/wiki/Geometry_processing" title="Geometry processing">Geometry processor</a></li> <li><a href="/wiki/Input%E2%80%93output_memory_management_unit" title="Input–output memory management unit">Input–output memory management unit</a></li> <li><a href="/wiki/Render_output_unit" title="Render output unit">Render output unit</a></li> <li><a href="/wiki/Shader" title="Shader">Shader unit</a></li> <li><a href="/wiki/Stream_processing" title="Stream processing">Stream processor</a></li> <li><a href="/wiki/Tensor" title="Tensor">Tensor unit</a></li> <li><a href="/wiki/Texture_mapping_unit" title="Texture mapping unit">Texture mapping unit</a></li> <li><a href="/wiki/Video_display_controller" title="Video display controller">Video display controller</a></li> <li><a href="/wiki/Video_processing_unit" class="mw-redirect" title="Video processing unit">Video processing unit</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Memory</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Direct_memory_access" title="Direct memory access">DMA</a></li> <li><a href="/wiki/Framebuffer" title="Framebuffer">Framebuffer</a></li> <li><a href="/wiki/SGRAM" class="mw-redirect" title="SGRAM">SGRAM</a> <ul><li><a href="/wiki/GDDR_SDRAM" title="GDDR SDRAM">GDDR</a></li> <li><a href="/wiki/GDDR2" class="mw-redirect" title="GDDR2">GDDR2</a></li> <li><a href="/wiki/GDDR3" class="mw-redirect" title="GDDR3">GDDR3</a></li> <li><a href="/wiki/GDDR4" class="mw-redirect" title="GDDR4">GDDR4</a></li> <li><a href="/wiki/GDDR5" class="mw-redirect" title="GDDR5">GDDR5</a></li> <li><a href="/wiki/GDDR6" class="mw-redirect" title="GDDR6">GDDR6</a></li> <li><a href="/wiki/GDDR7" class="mw-redirect" title="GDDR7">GDDR7</a></li></ul></li> <li><a href="/wiki/High_Bandwidth_Memory" title="High Bandwidth Memory">HBM</a> <ul><li><a href="/wiki/HBM2" class="mw-redirect" title="HBM2">HBM2</a></li> <li><a href="/wiki/HBM2E" class="mw-redirect" title="HBM2E">HBM2E</a></li> <li><a href="/wiki/HBM3" class="mw-redirect" title="HBM3">HBM3</a></li> <li><a href="/wiki/HBM-PIM" class="mw-redirect" title="HBM-PIM">HBM-PIM</a></li> <li><a href="/wiki/HBM3E" class="mw-redirect" title="HBM3E">HBM3E</a></li></ul></li> <li><a href="/wiki/Memory_bandwidth" title="Memory bandwidth">Memory bandwidth</a></li> <li><a href="/wiki/Memory_controller" title="Memory controller">Memory controller</a></li> <li><a href="/wiki/Shared_graphics_memory" title="Shared graphics memory">Shared graphics memory</a></li> <li><a href="/wiki/Texture_memory" title="Texture memory">Texture memory</a></li> <li><a href="/wiki/Video_RAM_(dual-ported_DRAM)" class="mw-redirect" title="Video RAM (dual-ported DRAM)">VRAM</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Form factor</th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Semiconductor_intellectual_property_core" title="Semiconductor intellectual property core">IP core</a></li> <li><a href="/wiki/Video_card" class="mw-redirect" title="Video card">Discrete graphics</a> <ul><li><a href="/wiki/GPU_cluster" title="GPU cluster">Clustering</a></li> <li><a href="/wiki/GPU_switching" title="GPU switching">Switching</a></li></ul></li> <li><a href="/wiki/External_GPU" class="mw-redirect" title="External GPU">External graphics</a></li> <li><a href="/wiki/Integrated_graphics" class="mw-redirect" title="Integrated graphics">Integrated graphics</a></li> <li><a href="/wiki/System_on_a_chip" title="System on a chip">System on a chip</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Performance</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Clock_rate" title="Clock rate">Clock rate</a></li> <li><a href="/wiki/Computer_display_standard" class="mw-redirect" title="Computer display standard">Display resolution</a></li> <li><a href="/wiki/Fillrate" title="Fillrate">Fillrate</a> <ul><li><a href="/wiki/Gigapixel_image" title="Gigapixel image">Pixel/s</a></li> <li><a href="/wiki/Texel_(graphics)" title="Texel (graphics)">Texel/s</a></li></ul></li> <li><a href="/wiki/FLOPS" class="mw-redirect" title="FLOPS">FLOP/s</a></li> <li><a href="/wiki/Frame_rate" title="Frame rate">Frame rate</a></li> <li><a href="/wiki/Performance_per_watt" title="Performance per watt">Performance per watt</a></li> <li><a href="/wiki/Transistor_count" title="Transistor count">Transistor count</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Misc</th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/2D_computer_graphics" title="2D computer graphics">2D</a> <ul><li><a href="/wiki/Scrolling" title="Scrolling">Scrolling</a></li> <li><a href="/wiki/Sprite_(computer_graphics)" title="Sprite (computer graphics)">Sprite</a></li> <li><a href="/wiki/Tile-based_video_game" title="Tile-based video game">Tile</a></li></ul></li> <li><a href="/wiki/3D_computer_graphics" title="3D computer graphics">3D</a> <ul><li><a href="/wiki/Global_illumination" title="Global illumination">GI</a></li> <li><a href="/wiki/Texture_mapping" title="Texture mapping">Texture</a></li></ul></li> <li><a href="/wiki/Application-specific_integrated_circuit" title="Application-specific integrated circuit">ASIC</a></li> <li><a href="/wiki/General-purpose_computing_on_graphics_processing_units" title="General-purpose computing on graphics processing units">GPGPU</a></li> <li><a href="/wiki/Graphics_library" title="Graphics library">Graphics library</a></li> <li><a href="/wiki/Hardware_acceleration" title="Hardware acceleration">Hardware acceleration</a></li> <li><a href="/wiki/Digital_image_processing" title="Digital image processing">Image processing</a> <ul><li><a href="/wiki/Image_compression" title="Image compression">Compression</a></li></ul></li> <li><a href="/wiki/Parallel_computing" title="Parallel computing">Parallel computing</a></li> <li><a href="/wiki/Vector_processor" title="Vector processor">Vector processor</a></li> <li><a href="/wiki/Video_coding_format" title="Video coding format">Video coding</a> <ul><li><a href="/wiki/Video_codec" title="Video codec">Codec</a></li></ul></li> <li><a href="/wiki/Very_long_instruction_word" title="Very long instruction word">VLIW</a></li></ul> </div></td></tr></tbody></table></div> <!-- NewPP limit report Parsed by mw‐api‐int.codfw.main‐849f99967d‐4khgd Cached time: 20241123142241 Cache expiry: 639451 Reduced expiry: true Complications: [vary‐revision‐sha1, show‐toc] CPU time usage: 0.977 seconds Real time usage: 1.129 seconds Preprocessor visited node count: 5001/1000000 Post‐expand include size: 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