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Triton Inference Server | NVIDIA
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This is included in head section to improve the page performance */ const containerWithFitBgEnabled = []; window.setContainerHeight = (containerID) => { var element = document.getElementById(containerID); var disableMidgroundImgAutoHeight = null; var disableVideoAutoHeight = null; if (element.classList.contains('v1-1')) { disableMidgroundImgAutoHeight = 'true'; disableVideoAutoHeight = 'true'; } var vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0); var imageContainer = element.querySelector('.nv-img-as-bg'); var videoContainer = element.querySelector('.nv-video-as-bg'); var image = element.querySelector('#image-' + containerID); var video = element.querySelector('#video-' + containerID); disableMidgroundImgAutoHeight = disableMidgroundImgAutoHeight || element.getAttribute('data-cmp-disableMidgroundAutoHeight'); disableVideoAutoHeight = disableVideoAutoHeight || element.getAttribute('data-cmp-disableVideoAutoHeight'); if (!image && !video) { return; } if (!containerWithFitBgEnabled.includes(containerID) && (imageContainer?.classList.contains('t-img-fit') || imageContainer?.classList.contains('p-img-fit') || imageContainer?.classList.contains('t-image-fit-contain') || imageContainer?.classList.contains('t-image-fit-cover') || imageContainer?.classList.contains('p-image-fit-contain') || imageContainer?.classList.contains('p-image-fit-cover') || videoContainer?.classList.contains('t-video-fit') || videoContainer?.classList.contains('p-video-fit') || videoContainer?.classList.contains('t-video-fit-contain') || videoContainer?.classList.contains('t-video-fit-cover') || videoContainer?.classList.contains('p-video-fit-contain') || videoContainer?.classList.contains('p-video-fit-cover'))) { containerWithFitBgEnabled.push(containerID); } if (image && !image.classList.contains('hide')) { var imgHeight = image.naturalHeight; var imgRenderedHeight = image.height; var childElement = imageContainer; if (imgHeight === 1 || imgRenderedHeight === 1) { return; } } if (video && !video.classList.contains('hide') && video.children.length > 0) { var videoHeight = video.videoHeight; var videoRenderedHeight = video.getBoundingClientRect().height; var childElement = videoContainer; } element.style.height = null; if (childElement) childElement.style.height = null; const isMobileViewport = vpWidth < 640; const isTabletViewport = vpWidth >= 640 && vpWidth < 1024; if (isMobileViewport) { if (imageContainer?.classList.contains('p-image-c-top') || imageContainer?.classList.contains('p-image-c-bottom')) { disableMidgroundImgAutoHeight = 'false'; } if (videoContainer?.classList.contains('p-video-c-top') || videoContainer?.classList.contains('p-video-c-bottom')) { disableVideoAutoHeight = 'false'; } } if (isTabletViewport) { if (imageContainer?.classList.contains('t-image-c-top') || imageContainer?.classList.contains('t-image-c-bottom')) { disableMidgroundImgAutoHeight = 'false'; } if (videoContainer?.classList.contains('t-video-c-top') || videoContainer?.classList.contains('t-video-c-bottom')) { disableVideoAutoHeight = 'false'; } } if (videoHeight !== undefined && videoHeight != 1 && videoHeight !== 0 && disableVideoAutoHeight !== 'true') { const pVideoCTop = childElement.classList.contains('p-video-c-top'); const pVideoCBottom = childElement.classList.contains('p-video-c-bottom'); const pVideoFit = childElement.classList.contains('p-video-fit'); const tVideoCTop = childElement.classList.contains('t-video-c-top'); const tVideoCBottom = childElement.classList.contains('t-video-c-bottom'); const tVideoFit = childElement.classList.contains('t-video-fit'); let setChildHeight = false; let height = videoHeight; if (isMobileViewport && (pVideoCTop || pVideoCBottom || pVideoFit)) { setChildHeight = pVideoCTop || pVideoCBottom; height = pVideoFit ? videoRenderedHeight : videoHeight; } else if (isTabletViewport && (tVideoCTop || tVideoCBottom || tVideoFit)) { setChildHeight = tVideoCTop || tVideoCBottom; height = tVideoFit ? videoRenderedHeight : videoHeight; } setChildHeight ? 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(childElement.style.height = height + 'px') : (element.style.height = height + 'px'); } else if (video?.hasAttribute('poster') && disableVideoAutoHeight !== 'true') { element.style.height = videoRenderedHeight + 'px'; } // If container is authored inside carousel - adjust height as per first container height var nvContainer = element.parentNode, nvContainerParent = nvContainer?.parentNode, isCarouselSlide = nvContainerParent?.classList.contains('cmp-carousel__item') || false; if (isCarouselSlide) { var carouselSlideId = nvContainerParent.getAttribute('id'), carouselId = carouselSlideId.match(/(.*)-item-(.*)-tabpanel/)[1], firstSlide = document.querySelector('#' + carouselId + ' [data-cmp-slide-no="1"]'), firstSlideImageHeight = firstSlide?.querySelector('.nv-img-as-bg')?.style.height, firstSlideVideoHeight = firstSlide?.querySelector('.nv-video-as-bg')?.style.height, containerImg = nvContainer.querySelector('.nv-img-as-bg'), containerVideo = nvContainer.querySelector('.nv-video-as-bg'); if (firstSlideImageHeight && containerImg) containerImg.style.height = firstSlideImageHeight; if (firstSlideVideoHeight && containerVideo) containerVideo.style.height = firstSlideVideoHeight; } } window.addEventListener('onNvBreakpointChange', (e) => { document.querySelectorAll('[data-cmp-is="nv-container"]').forEach((container) => { const containerId = container.getAttribute('id'); window.initBuildVideo(containerId); window.initLazyLoadingImages(containerId); window.setContainerHeight(containerId); }); }); // Call setContainerHeight for containers with Fit Image Background or Fit Video Background is Enabled // Fit Image / Video Background is applicabled only for Mobile & Tablet viewports window.addEventListener('resize', (e) => { if (containerWithFitBgEnabled.length > 0) { const vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0); if (vpWidth <= 1023) { containerWithFitBgEnabled.forEach(containerId => window.setContainerHeight(containerId)); } } }); // END: setContainerHeight // Variables let videoSources = {}; /** * @breif Accepts components JSON data to build source elements for each device type * @param Object videoSource */ let buildSources = (videoSource) => { for (const viewport in videoSource) { const fragment = createSrcFragment(videoSource[viewport]); videoSources[viewport] = fragment; } } /** * @breif Creats document fragment that contain maximum of upto 3 <source> tags (webm, mp4, ogg) * @param {*} videos - Array of objects with type and src properties * @returns DocumentFragment with maximum of upto 3 <source> tags */ let createSrcFragment = (videos) => { const fragment = new DocumentFragment(); const videoWebm = videos.find((src) => src.type === 'video/webm'); const videoMp4 = videos.find((src) => src.type === 'video/mp4'); const videoOgg = videos.find((src) => src.type === 'video/ogg'); if (videoWebm && videoWebm.src && videoWebm.type) { fragment.appendChild(createSource(videoWebm)); } if (videoMp4 && videoMp4.src && videoMp4.type) { fragment.appendChild(createSource(videoMp4)); } if (videoOgg && videoOgg.src && videoOgg.type) { fragment.appendChild(createSource(videoOgg)); } return fragment; } /** * @breif Creates source element * @param {*} videos - Object with type and src properties * @returns HTMLElement <source> */ let createSource = (video) => { const source = document.createElement('source'); source.setAttribute('src', video.src); source.setAttribute('type', video.type); return source; } /** * Adds source elments to video and trigger play * @param {*} videoEle * @param {*} videoSources */ let loadVideo = (videoEle, videoSources) => { videoEle.classList.remove('hide'); videoEle.appendChild(videoSources); } let initLazyLoadingVideo = (containerId) => { //Select all videos that have lazy loading enabled const container = document.getElementById(containerId); const videoTarget = container.querySelector('video[data-nv-lazyload]'); if (videoTarget) { //Intersection Observer Callback Function const loadVideo = (entries, observer) => { const [entry] = entries; if (!entry.isIntersecting) { return; } entry.target.play(); videoTarget.removeAttribute('data-nv-lazyload'); observer.unobserve(entry.target); }; const videoObserver = new IntersectionObserver(loadVideo, { root: null, rootMargin: "300px" }) // Set the Videos to be observed videoObserver.observe(videoTarget); } } /** * @breif Build <source> and append to <video>. Handles changing video source by screen size. */ window.initBuildVideo = (containerId) => { const container = document.getElementById(containerId); const video = container.querySelector('.nv-video-load-src>video'); if (video) { const videoSource = JSON.parse(video.dataset.videoSource); let screen = document.documentElement.clientWidth || document.body.clientWidth; buildSources(videoSource); if (Object.keys(videoSources).length > 0) { while (video.firstChild) { video.removeChild(video.lastChild); } if (screen < 640) { if (videoSources.mobile) loadVideo(video, videoSources.mobile); else video.classList.add('hide'); } else if (screen >= 640 && screen < 1024) { if (videoSources.tablet) loadVideo(video, videoSources.tablet); else video.classList.add('hide'); } else if (screen >= 1024 && screen < 1350) { if (videoSources.laptop) loadVideo(video, videoSources.laptop); else video.classList.add('hide'); } else if (screen >= 1350) { if (videoSources.desktop) loadVideo(video, videoSources.desktop); else video.classList.add('hide'); } } if (video.hasAttribute('poster')) { window.setContainerHeight(containerId); } video.onloadeddata = function() { window.setContainerHeight(containerId); video.play(); } video.onended = () => { if (!video.hasAttribute('loop')) { video.classList.add('hide'); window.setContainerHeight(containerId); } } if (video.hasAttribute('data-nv-lazyload')) { initLazyLoadingVideo(containerId); } else { video.load(); } video.classList.remove('nv-video-load-src'); video.classList.add('nv-video-src-loaded'); } } window.initLazyLoadingImages = (containerId) => { //Select all images that have lazy loading enabled const container = document.getElementById(containerId); const picture = container.querySelector('picture[data-nv-lazyload]'); if (picture) { const imageTarget = picture.querySelector('img'); //Intersection Observer Callback Function const loadImage = (entries, observer) => { const [entry] = entries; if (!entry.isIntersecting) { return; } 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class="menu-level-1 row-1 mm-1" role="none" aria-haspop="true" aria-expanded="false"> <a role="menuitem" href="#nav-lvl1-tab4">For You<svg class="n24-icon menu-button caret-down"> <use xlink:href="#n24-caret-down" /></svg> </a> </li> <li> <ul class="menu-level-2 row-2 menu-accordion grid-container closed hide" role="menu"> <li id="nav-lvl1-tab4-lvl2-tab1" class="menu-level-2 row-2 grid-item" role="none" aria-expanded="false" aria-haspopup="true"> <a href="#nav-lvl1-tab4-lvl2-tab1">Creatives/Designers<svg class="n24-icon menu-button caret-down"><use xlink:href="#n24-caret-down" /></svg></a> </li> <li> <ul class="menu-level-3 row-3 menu-accordion grid-container closed hide" role="menu"> <li class="menu-level-3 row-3 grid-item" role="none"> <div class="menu-level-3 title">NVIDIA Studio</div> <ul class="menu-level-4 grid-container" role="menu"> <li class="menu-level-4 grid-item" role="menuitem"> <a href="https://www.nvidia.com/en-sg/studio/" target="_self" class="mm-link">Overview</a> 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d="M12613.6,1800.5a2.654,2.654,0,1,0-2.6,2.5A2.575,2.575,0,0,0,12613.6,1800.5Zm2.7,0a2.708,2.708,0,1,0,2.7-2.5A2.6,2.6,0,0,0,12616.3,1800.5Zm8.1,0a2.654,2.654,0,1,0,2.6-2.5A2.575,2.575,0,0,0,12624.4,1800.5Z" transform="translate(-12608.3 -1798)"></path> </svg> <ul class="in-page-nav-truncated-list"> <li data-in-page-nav-item-index="0"> <a href="#introduction">Introduction</a> </li> <li data-in-page-nav-item-index="1"> <a href="#benefits">Benefits</a> </li> <li data-in-page-nav-item-index="2"> <a href="#customer-stories">Customer Stories</a> </li> <li data-in-page-nav-item-index="3"> <a href="#webinars">Webinars</a> </li> <li data-in-page-nav-item-index="4"> <a href="#adopters">Adopters</a> </li> <li data-in-page-nav-item-index="5"> <a href="#get-started">Get Started</a> </li> <li data-in-page-nav-item-index="6"> <a href="#resources">Resources</a> </li> </ul> </div> <div class="ip-nav-cta-cont"> <div> <div><div class="nv_button nv-button button"> <div class="nv-button-standard 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aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="container-4ec05ac08f" class="p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--7 aem-Grid--tablet--12 aem-Grid--default--7 aem-Grid--phone--12 "> <div class="nv-title text h--medium aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="nv-title-e8e2444e86" class="general-container-text "> <div class="text-left lap-text-left tab-text-center mob-text-center"> <h1 class="title "> Inference for Every AI Workload </h1> </div> </div> </div> <div class="nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--6 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="nv-text-2b6e3467a6" class="general-container-text "> <div class="text-left lap-text-left tab-text-center mob-text-center"> <div class="description "> <p><span style="color: rgb(0,0,0);"><span class="p--large">Run inference on trained machine learning or deep learning models from any framework on any processor—GPU, CPU, or other—with NVIDIA Triton Inference Server™. Part of the <a href="https://www.nvidia.com/en-sg/ai-data-science/">NVIDIA AI platform</a> and available with <a href="https://www.nvidia.com/en-sg/data-center/products/ai-enterprise/">NVIDIA AI Enterprise</a>, Triton Inference Server is open-source software that standardizes AI model deployment and execution across every workload.</span></span></p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--5 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="container-81af144e8d" class="p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top 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class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt title data-analytics="nv-image-60d81d401f"/> </noscript> </a> </div> </div> </div> <div class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h4 class="cmp-teaser__title " data-titlerow="One" data-titlerowlaptop="One" data-titlerowtablet="One"> Top 5 Reasons Why Triton is Simplifying Inference </h4> <div class="cmp-teaser__action-container " data-ctaExpand="false"> <a class="cmp-teaser__action-link nv-teaser-text-link " href="#watch-video" target="_modal" id="teaser-60d81d401f-cta-6f2eb94539">Watch Video <span class="cmp-teaser__action-link-icon fa-solid fa-angle-right"></span> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="benefits" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#f7f7f7;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-ac4e046976" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> The Benefits of Triton Inference Server </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-60e906d52b" class="p-t-15 p-b-0 lap-p-t-15 lap-p-b-0 tab-p-t-15 tab-p-b-0 mob-p-t-15 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container nv-flexbox d-col-4 l-col-4 t-col-2 p-col-1 d-justify-left l-justify-left t-justify-left p-justify-left flex-align-top "> <div class="nv-container container responsivegrid"> <div id="container-41fdb7d76d" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-image image aem-GridColumn aem-GridColumn--default--12"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586/nv_container_1736220_27667354/nv_container/nv_image.coreimg{.width}.svg/1721252779656/m48-natural-language-processing-conversational-ai.svg" data-asset="/content/dam/icons/m48-natural-language-processing-conversational-ai.svg" data-title="Supports All Training and Inference Frameworks" id="nv-image-4c48c2b637" class="cmp-image d-align-center l-align-center t-align-center m-align-center" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img data-cmp-img-custom-width="96px" src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586/nv_container_1736220_27667354/nv_container/nv_image.coreimg.svg/1721252779656/m48-natural-language-processing-conversational-ai.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" style="max-width:96px" alt="Supports All Training and Inference Frameworks" title="Supports All Training and Inference Frameworks" data-analytics="nv-image-4c48c2b637"/> </noscript> </div> </div> <div class="nv-title text h--smallest aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-676a958b9f" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h3 class="title "> Supports All Training and Inference Frameworks </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-a78186802b" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>Deploy AI models on any major framework with Triton Inference Server—including TensorFlow, PyTorch, Python, ONNX, <a href="https://developer.nvidia.com/tensorrt" target="_blank">NVIDIA® TensorRT™</a>, RAPIDS™ cuML, XGBoost, scikit-learn RandomForest, OpenVINO, custom C++, and more.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-c051445194" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-image image aem-GridColumn 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lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>Maximize throughput and utilization with dynamic batching, concurrent execution, optimal configuration, and streaming audio and video. Triton Inference Server supports all NVIDIA GPUs, x86 and Arm CPUs, and AWS Inferentia.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-eca0c37554" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-image image aem-GridColumn aem-GridColumn--default--12"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586/nv_container_1736220_27667354/nv_container_1445630532/nv_image.coreimg{.width}.svg/1721252772115/m48-machine-learning-ops-mlops.svg" data-asset="/content/dam/icons/m48-machine-learning-ops-mlops.svg" data-title="Open Source and Designed for DevOps and MLOps" id="nv-image-19eb7ccf96" class="cmp-image d-align-center l-align-center t-align-center m-align-center" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img data-cmp-img-custom-width="96px" src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586/nv_container_1736220_27667354/nv_container_1445630532/nv_image.coreimg.svg/1721252772115/m48-machine-learning-ops-mlops.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" style="max-width:96px" alt="Open Source and Designed for DevOps and MLOps" title="Open Source and Designed for DevOps and MLOps" data-analytics="nv-image-19eb7ccf96"/> </noscript> </div> </div> <div class="nv-title text h--smallest aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-8428afab94" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h3 class="title "> Open Source and Designed for DevOps and MLOps </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-2466f46762" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>Integrate Triton Inference Server into DevOps and MLOps solutions such as Kubernetes for scaling and Prometheus for monitoring. It can also be used in all major cloud and on-premises AI and MLOps platforms.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-d1c032ce09" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-image image aem-GridColumn aem-GridColumn--default--12"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586/nv_container_1736220_27667354/nv_container_1153169004/nv_image.coreimg{.width}.svg/1721252777649/m48-layered-security.svg" data-asset="/content/dam/icons/m48-layered-security.svg" data-title="Enterprise-Grade Security and API Stability" id="nv-image-8b8548891a" class="cmp-image d-align-center l-align-center t-align-center m-align-center" itemscope 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<div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-dac4ef4e2a" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p><a href="https://www.nvidia.com/en-sg/data-center/products/ai-enterprise/">NVIDIA AI Enterprise</a>, including NVIDIA Triton Inference Server, is a secure, production-ready AI software platform designed to accelerate time to value with support, security, and API stability.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="benefits" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#FFFFFF;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-title text h--medium aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8 aem-GridColumn--offset--default--2 aem-GridColumn--offset--phone--0"> <div id="nv-title-c5c2825f89" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-left"> <h2 class="title "> Explore the Features and Tools of NVIDIA Triton Inference Server </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-377a594203" class="p-t-15 p-b-0 lap-p-t-15 lap-p-b-0 tab-p-t-15 tab-p-b-0 mob-p-t-15 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align 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l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none"> <div class="general-container"> <div class="aem-Grid aem-Grid--8 aem-Grid--default--8 aem-Grid--phone--12 "> <div class="nv-title text h--smallest aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8"> <div id="nv-title-49a52f14b7" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> Large Language Model Inference </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8"> <div id="nv-text-dcd2356c4d" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>Triton offers low latency and high throughput for large language model (LLM) inferencing. It supports <a href="https://developer.nvidia.com/tensorrt-llm-early-access" target="_blank">TensorRT-LLM</a>, an open-source library for defining, optimizing, and executing LLMs for inference in production. </p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-7092128c48" class="p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-image image nv-no-left-padding nv-no-right-padding aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--offset--phone--0 aem-GridColumn--default--3 aem-GridColumn--offset--default--1"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586_1403039548/nv_container_1736220/nv_container_505966906/nv_image.coreimg{.width}.svg/1721252780337/m48-interapp-workflow.svg" data-asset="/content/dam/icons/m48-interapp-workflow.svg" data-title="High-Performance Inference on Any Platform" id="nv-image-ee5bf3f3ad" class="cmp-image d-align-center l-align-center t-align-center m-align-center" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img data-cmp-img-custom-width="96px" src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586_1403039548/nv_container_1736220/nv_container_505966906/nv_image.coreimg.svg/1721252780337/m48-interapp-workflow.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" style="max-width:96px" alt="High-Performance Inference on Any Platform" title="High-Performance Inference on Any Platform" data-analytics="nv-image-ee5bf3f3ad"/> </noscript> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="container-b5f13db517" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--8 aem-Grid--default--8 aem-Grid--phone--12 "> <div class="nv-title text h--smallest aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8"> <div id="nv-title-ee06153ab5" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> Model Ensembles </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8"> <div id="nv-text-451beb3c5d" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><a href="https://developer.nvidia.com/blog/serving-ml-model-pipelines-on-nvidia-triton-inference-server-with-ensemble-models/" target="_blank">Triton Model Ensembles</a> allows you to execute AI workloads with multiple models, pipelines, and pre- and postprocessing steps. It allows execution of different parts of the ensemble on CPU or GPU, and supports multiple frameworks inside the ensemble.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-53d23c2805" class="p-t-15 p-b-0 lap-p-t-15 lap-p-b-0 tab-p-t-15 tab-p-b-0 mob-p-t-15 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-2 p-col-1 d-justify-left l-justify-left t-justify-left p-justify-left flex-align-stretch "> <div class="nv-container container responsivegrid"> <div id="container-6cc73f637b" class="p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align 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to serve models, simple processing functions, or entire inference pipelines to accelerate prototyping and testing. </p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-4352572f6e" class="p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-image image nv-no-left-padding nv-no-right-padding aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--offset--phone--0 aem-GridColumn--default--3 aem-GridColumn--offset--default--1"> <div 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src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_1241586_1403039548/nv_container_1736220_1576876159/nv_container_1153169004/nv_image.coreimg.svg/1721252780466/m48-deep-learning-industrial-inspection.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" style="max-width:96px" alt="Enterprise-Grade Security and API Stability" title="Enterprise-Grade Security and API Stability" data-analytics="nv-image-b84fcdb910"/> </noscript> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="container-dfd5a1771b" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--8 aem-Grid--default--8 aem-Grid--phone--12 "> <div class="nv-title text h--smallest aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8"> <div id="nv-title-a00677cfbc" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> NVIDIA Triton Model Analyzer </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8"> <div id="nv-text-9cc9e565e0" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><a href="https://github.com/triton-inference-server/model_analyzer" target="_blank">Model Analyzer</a> reduces the time needed to find the optimal model deployment configuration - such as batch size, precision, and concurrent execution instances. It helps select the optimal configuration to meet application latency, throughput, and memory requirements. </p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="use-cases" class="p-t-75 p-b-15 hide-on-desktop lap-p-t-75 lap-p-b-15 hide-on-laptop tab-p-t-45 tab-p-b-0 hide-on-tablet mob-p-t-45 mob-p-b-0 hide-on-mob d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-7b4b341711" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Features and Tools </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-fa05023998" class="p-t-30 p-b-0 lap-p-t-30 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container nv-flexbox d-col-3 l-col-3 t-col-1 p-col-1 d-justify-left l-justify-left t-justify-left p-justify-left flex-align-stretch "> <div class="nv-teaser teaser nv-teaser--card"> <div id="nv-teaser-d75a1c008d" class="cmp-teaser " data-title-style="manual" data-rendition-thumbnail.140.100="/content/dam/en-zz/Solutions/ai-data-science/products/triton-inference-server/large-language-model-inference-2560x1440.jpg/jcr:content/renditions/cq5dam.thumbnail.140.100.png" data-rendition-thumbnail.48.48="/content/dam/en-zz/Solutions/ai-data-science/products/triton-inference-server/large-language-model-inference-2560x1440.jpg/jcr:content/renditions/cq5dam.thumbnail.48.48.png" data-rendition-original="/content/dam/en-zz/Solutions/ai-data-science/products/triton-inference-server/large-language-model-inference-2560x1440.jpg" data-rendition-web.1280.1280="/content/dam/en-zz/Solutions/ai-data-science/products/triton-inference-server/large-language-model-inference-2560x1440.jpg/jcr:content/renditions/cq5dam.web.1280.1280.jpeg" data-rendition-thumbnail.319.319="/content/dam/en-zz/Solutions/ai-data-science/products/triton-inference-server/large-language-model-inference-2560x1440.jpg/jcr:content/renditions/cq5dam.thumbnail.319.319.png"> <div class="nv-teaser--holder"> <div class="cmp-teaser__image" data-type="renditionUpload" data-alt="NVIDIA TensorRT\u002DLLM" data-altValueFromDAM="false"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_2140376/nv_container_7177742/nv_teaser.coreimg.100{.width}.jpeg/1707377029969/large-language-model-inference-2560x1440.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/ai-data-science/products/triton-inference-server/large-language-model-inference-2560x1440.jpg" data-title="NVIDIA TensorRT-LLM" class="cmp-image " itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/sg/en_SG/ai-data-science/products/triton-inference-server/_jcr_content/root/responsivegrid/nv_container_2140376/nv_container_7177742/nv_teaser.coreimg.jpeg/1707377029969/large-language-model-inference-2560x1440.jpeg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="NVIDIA TensorRT-LLM" title="NVIDIA TensorRT-LLM" data-analytics="nv-image-d75a1c008d"/> </noscript> </div> </div> </div> <div class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="cmp-teaser__title h--smaller" data-titlerow="One" data-titlerowlaptop="One" data-titlerowtablet="One"> Large Language Model Inference </h3> <div class="cmp-teaser__description"> <p>TensorRT-LLM is an open-source library for defining, optimizing, and executing large language models (LLM) for inference in production. 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This native support for Triton in Python enables rapid prototyping and testing of machine learning models with performance and efficiency. A single line of code brings up Triton, providing benefits such as dynamic batching, concurrent model execution, and support for GPU and CPU. This eliminates the need to set up model repositories and convert model formats. 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It helps select the optimal configuration to meet application quality-of-service (QoS) constraints—like latency, throughput, and memory requirements—and reduces the time needed to find the optimal configuration. 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style="color: #000000;"> Purchase NVIDIA AI Enterprise With Triton for Production Deployment </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-27f1bc8ce4" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>Purchase NVIDIA AI Enterprise, which includes Triton Inference Server for production inference.</p> </div> </div> </div> </div> <div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12"> <div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left"> <a id="nv-button-a94cb0798f" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" href="https://enterpriseproductregistration.nvidia.com/?LicType=EVAL&ProductFamily=NVAIEnterprise"> <span class="btn-text">Apply Now for a 90-Day NVIDIA AI Enterprise Evaluation License</span> </a> 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