H100 Tensor Core GPU

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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, 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href="https://www.nvidia.com/en-us/launchpad/infra-optimization/experience-vmware-vsphere-distributed-services-engine-on-bluefield-2-dpu/" target="_self" class="global-nav-link"><div class="title no-submenu">Try vSphere on BlueField</div></a></li> </ul></li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/" target="_self" class="global-nav-link"><div class="title no-submenu">Where to Buy</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/" target="_self" class="global-nav-link"><div class="title no-submenu">Test Drive</div></a></li> <li><a href="https://www.nvidia.com/en-us/omniverse/platform/ovx/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA OVX</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" >   <span class="sub-brand-link"> Data Center GPUs <div class="ic-arrow-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M7 10l5 5 5-5z" /> <path d="M0 0h24v24H0z" fill="none" /></svg> </div> </span>  <ul class="dropdown-menu bullet" id="nav"> <li><a href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/" target="_self" class="global-nav-link"><div class="title no-submenu">GB200 NVL72</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/hgx/" target="_self" class="global-nav-link"><div class="title no-submenu">HGX</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/h200/" target="_self" class="global-nav-link"><div class="title no-submenu">H200</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/h100/" target="_self" class="global-nav-link"><div class="title no-submenu">H100</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/l4/" target="_self" class="global-nav-link"><div class="title no-submenu">L4</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/l40s/" target="_self" class="global-nav-link"><div class="title no-submenu">L40S</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/l40/" target="_self" class="global-nav-link"><div class="title no-submenu">L40</div></a></li> <li><a href="https://resources.nvidia.com/l/en-us-gpu" target="_self" class="global-nav-link"><div class="title no-submenu">All GPUs</div></a></li> <li><a href="https://docs.nvidia.com/data-center-gpu/line-card.pdf" target="_self" class="global-nav-link"><div class="title no-submenu">Line Card</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/" target="_self" class="global-nav-link"><div class="title no-submenu">Test Drive</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" >  <span class="sub-brand-link"> <a href="https://www.nvidia.com/en-us/data-center/software/" class="sub-brand-link">Software</a> <div class="ic-arrow-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" width="24" 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class="title no-submenu">Trial</div></a></li> </ul></li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/" target="_self" class="global-nav-link"><div class="title no-submenu">Base Command</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/manager/" target="_self" class="global-nav-link"><div class="title no-submenu">Base Command Manager</div></a></li> <li><a href="https://www.nvidia.com/en-us/technologies/cuda-x/" target="_self" class="global-nav-link"><div class="title no-submenu">CUDA-X</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/dgx-cloud/" target="_self" class="global-nav-link"><div class="title no-submenu">DGX Cloud</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/magnum-io/" target="_self" class="global-nav-link"><div class="title no-submenu">Magnum IO</div></a></li> <li><a href="https://catalog.ngc.nvidia.com/" target="_self" class="global-nav-link"><div class="title no-submenu">NGC Catalog*</div></a></li> <li><a href="https://developer.nvidia.com/networking/doca" target="_self" class="global-nav-link"><div class="title no-submenu">Networking*</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/virtual-solutions/" target="_self" class="global-nav-link"><div class="title no-submenu">Virtualization</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" >   <span class="sub-brand-link"> Technologies <div class="ic-arrow-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M7 10l5 5 5-5z" /> <path d="M0 0h24v24H0z" fill="none" /></svg> </div> </span>  <ul class="dropdown-menu bullet" id="nav"> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA Blackwell Architecture</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA Hopper Architecture</div></a></li> <li><a href="https://www.nvidia.com/en-us/design-visualization/ada-lovelace-architecture/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA Ada Lovelace Architecture</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" target="_self" class="global-nav-link"><div class="title no-submenu">Confidential Computing</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink-c2c/" target="_self" class="global-nav-link"><div class="title no-submenu">NVLink-C2C</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink/" target="_self" class="global-nav-link"><div class="title no-submenu">NVLink/NVSwitch</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/tensor-cores/" 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target="_self" class="global-nav-link"><div class="title no-submenu">Training for IT Professionals</div></a></li> <li><a href="https://www.nvidia.com/gtc/" target="_self" class="global-nav-link"><div class="title no-submenu">GTC AI Conference</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/tesla-qualified-servers-catalog/" target="_self" class="global-nav-link"><div class="title no-submenu">Qualified Server Catalog</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/" target="_self" class="global-nav-link"><div class="title no-submenu">Where to Buy</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" > <a href="https://www.nvidia.com/en-us/launchpad/" target="_self" class="sub-brand-link">Get Started</a> </div> <div class="sub-brand-item hide"> <span class="sub-brand-link"> <div class="more-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 21.4 5"> <path 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)" /> </svg> </div> </span> <ul class="dropdown-menu bullet "> <li class="more-element hide"> <span> Solutions </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/accelerated-computing-for-enterprise-it/">Accelerated Computing for Enterprise IT</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/">Cloud Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/colocation-partners/">Colocation</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/edge-computing/">Edge Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/high-performance-computing/">High Performance Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/networking/">Networking</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/virtualization/">Virtualization</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/solutions/mlops/">MLOps</a> </li> </ul> </li> <li class="more-element hide"> <span> Products </span> <ul class="more-sub-items"> <li><a href=""> DGX</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/products/certified-systems/">NVIDIA-Certified Systems</a> </li> <li><a href="https://www.nvidia.com/en-us/edge-computing/products/igx/">IGX Platform</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/grace-cpu/">Grace CPU</a> </li> <li><a href="https://www.nvidia.com/en-us/networking/products/data-processing-unit/">BlueField DPUs and SuperNICs</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/">Where to Buy</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/">Test Drive</a> </li> <li><a href="https://www.nvidia.com/en-us/omniverse/platform/ovx/">NVIDIA OVX</a> </li> </ul> </li> <li class="more-element hide"> <span> Data Center GPUs </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/">GB200 NVL72</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/hgx/">HGX</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/h200/">H200</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/h100/">H100</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/l4/">L4</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/l40s/">L40S</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/l40/">L40</a> </li> <li><a href="https://resources.nvidia.com/l/en-us-gpu">All GPUs</a> </li> <li><a href="https://docs.nvidia.com/data-center-gpu/line-card.pdf">Line Card</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/">Test Drive</a> </li> </ul> </li> <li class="more-element hide"> <span> Software </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/">AI Enterprise Suite</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/">Base Command</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/manager/">Base Command Manager</a> </li> <li><a href="https://www.nvidia.com/en-us/technologies/cuda-x/">CUDA-X</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/dgx-cloud/">DGX Cloud</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/magnum-io/">Magnum IO</a> </li> <li><a href="https://catalog.ngc.nvidia.com/">NGC Catalog*</a> </li> <li><a href="https://developer.nvidia.com/networking/doca">Networking*</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/virtual-solutions/">Virtualization</a> </li> </ul> </li> <li class="more-element hide"> <span> Technologies </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/">NVIDIA Blackwell Architecture</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/">NVIDIA Hopper Architecture</a> </li> <li><a href="https://www.nvidia.com/en-us/design-visualization/ada-lovelace-architecture/">NVIDIA Ada Lovelace Architecture</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/">Confidential Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink-c2c/">NVLink-C2C</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink/">NVLink/NVSwitch</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/tensor-cores/">Tensor Cores</a> </li> <li><a href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/">Multi-Instance GPU</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/index-paraview-plugin/">IndeX ParaView Plugin</a> </li> <li><a href="https://www.nvidia.com/en-us/ai-data-science/products/morpheus/">Cybersecurity - Morpheus</a> </li> </ul> </li> <li class="more-element hide"> <span> Resources </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/gpu-accelerated-applications/">Applications</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/sustainable-computing/energy-efficiency-calculator/">Energy Efficiency Calculator</a> </li> <li><a href="https://www.nvidia.com/en-us/gpu-cloud/">NVIDIA NGC</a> </li> <li><a href="https://www.nvidia.com/en-us/training/">Technical Training</a> </li> <li><a href="https://academy.nvidia.com/en/">Training for IT Professionals</a> </li> <li><a href="https://www.nvidia.com/gtc/">GTC AI Conference</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/tesla-qualified-servers-catalog/">Qualified Server Catalog</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/">Where to Buy</a> </li> </ul> </li> <li class="more-element hide"> <a href="https://www.nvidia.com/en-us/launchpad/">Get Started</a> </li> <span class="nvArrow"></span> </ul> </div> </div> <div class="brand-nav-right ">  <a href="#" class="ic-menu unsubset" title="Menu"> <svg id="menu-icon" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 24 24"> <line id="menu-line-top" class="menu-line" x1="1" y1="6" x2="23" y2="6" stroke-width="2.4" vector-effect="non-scaling-stroke" /> <line id="menu-line-mid" class="menu-line" x1="1" y1="12" x2="23" y2="12" stroke-width="2.4" vector-effect="non-scaling-stroke" /> <line id="menu-line-bot" class="menu-line" x1="1" y1="18" x2="23" y2="18" stroke-width="2.4" vector-effect="non-scaling-stroke" /> </svg> </a> </div> </div> <div style="opacity: 0;" class="lightbox-background tablet-only hide"></div> <div 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data-cmp-clickable="false " rel="noopener noreferrer" href="/content/dam/en-zz/Solutions/Data-Center/h100/PB-11773-001_v01.pdf"> <span class="btn-text"><span class="far fa-file fa-fw"></span> NVIDIA H100 NVL Product Brief</span> </a> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="workloads" class="p-t-0 p-b-30 lap-p-t-0 lap-p-b-30 tab-p-t-0 tab-p-b-15 mob-p-t-0 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" data-cmp-disableMidgroundAutoHeight="false" data-cmp-disableVideoAutoHeight="false"> <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-21c1267943" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Securely Accelerate Workloads From Enterprise to Exascale </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-761392d0df" class="p-t-30 p-b-0 lap-p-t-30 lap-p-b-0 tab-p-t-30 tab-p-b-0 mob-p-t-30 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-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch "> <div class="nv-container container responsivegrid"> <div id="container-23fc907263" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--smallest aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-806f19b312" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h3 class="title "> Up to 4X Higher AI Training on GPT-3 </h3> </div> </div> </div> <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/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_227392685/nv_container/nv_container/nv_image.coreimg{.width}.svg/1721739825388/nvidia-h100-workload-training.svg" data-asset="/content/dam/en-zz/Solutions/Data-Center/h100/nvidia-h100-workload-training.svg" data-title="Up to 4X Higher AI Training on GPT-3" id="nv-image-0de9401fe1" 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 src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_227392685/nv_container/nv_container/nv_image.coreimg.svg/1721739825388/nvidia-h100-workload-training.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="Up to 4X Higher AI Training on GPT-3" title="Up to 4X Higher AI Training on GPT-3" data-analytics="nv-image-0de9401fe1"/> </noscript> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-e479effe4f" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><span class="p--small">Projected performance subject to change.  GPT-3 175B training A100 cluster: HDR IB network, H100 cluster: NDR IB network | Mixture of Experts (MoE) Training Transformer Switch-XXL variant with 395B parameters on 1T token dataset,  A100 cluster: HDR IB network, H100 cluster: NDR IB network with NVLink Switch System where indicated.</span></p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-750a9f3968" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-c1c90fd311" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Transformational AI Training </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-5f4475687d" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>H100 features fourth-generation Tensor Cores and a Transformer Engine with FP8 precision that provides up to 4X faster training over the prior generation for GPT-3 (175B) models. The combination of fourth-generation NVLink, which offers 900 gigabytes per second (GB/s) of GPU-to-GPU interconnect; NDR Quantum-2 InfiniBand networking, which accelerates communication by every GPU across nodes; PCIe Gen5; and <a href="https://www.nvidia.com/en-us/data-center/magnum-io/">NVIDIA Magnum IO™</a> software delivers efficient scalability from small enterprise systems to massive, unified GPU clusters.</p> <p>Deploying H100 GPUs at data center scale delivers outstanding performance and brings the next generation of exascale high-performance computing (HPC) and trillion-parameter AI within the reach of all researchers.</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-eba32cb984" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/launchpad/ai/tuning-and-deploying-a-language-model-on-h100/"> <span class="btn-text">Experience NVIDIA AI and NVIDIA H100 on NVIDIA LaunchPad</span> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-rawhtml aem-GridColumn aem-GridColumn--default--12"> <div id="nv-rawhtml-2794605df1" class="general-container-text "> <div> <style> @media screen and (min-width: 640px) and (max-width: 1023px) { #deep-learning .general-container, #data-analytics .general-container, #confidential-computing .general-container { flex-direction: column-reverse; } </style></div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="deep-learning" class="p-t-30 p-b-30 lap-p-t-30 lap-p-b-30 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15 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-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch p-column-reverse "> <div class="nv-container container responsivegrid"> <div id="container-e7e3571586" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-f2bb424107" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Real-Time Deep Learning Inference </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-0881acdaec" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>AI solves a wide array of business challenges, using an equally wide array of neural networks. A great AI inference accelerator has to not only deliver the highest performance but also the versatility to accelerate these networks.</p> <p>H100 extends NVIDIA’s market-leading inference leadership with several advancements that accelerate inference by up to 30X and deliver the lowest latency. Fourth-generation Tensor Cores speed up all precisions, including FP64, TF32, FP32, FP16, INT8, and now FP8, to reduce memory usage and increase performance while still maintaining accuracy for LLMs.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-efdfac0259" class=" " data-cmp-is="nv-container"> <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--smallest aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--1"> <div id="nv-title-2989396791" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h3 class="title "> Up to 30X Higher AI Inference Performance on the Largest Models </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-c00baa0eff" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>Megatron chatbot inference (530 billion parameters)</p> </div> </div> </div> </div> <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/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_416312871/nv_container_326104294/nv_image.coreimg{.width}.svg/1721739825644/nvidia-h100-workload-inference-2c50-d.svg" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/nvidia-h100-workload-inference-2c50-d.svg" data-title="Real-Time Deep Learning Inference" id="nv-image-e9fe2b6b4c" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_416312871/nv_container_326104294/nv_image.coreimg.svg/1721739825644/nvidia-h100-workload-inference-2c50-d.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="Real-Time Deep Learning Inference" title="Real-Time Deep Learning Inference" data-analytics="nv-image-e9fe2b6b4c"/> </noscript> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-414b4e8036" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><span class="p--small">Projected performance subject to change. Inference on Megatron 530B parameter model based chatbot for input sequence length=128, output sequence length =20 | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB</span></p> </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-c0bdf72f21" class="p-t-30 p-b-30 lap-p-t-30 lap-p-b-30 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15 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-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch "> <div class="nv-container container responsivegrid"> <div id="container-8a40ab1c93" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--smallest aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-97e1f88768" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h3 class="title "> Up to 7X Higher Performance for HPC Applications </h3> </div> </div> </div> <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/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_700535989/nv_container/nv_image.coreimg{.width}.svg/1721739825755/nvidia-h100-workload-hpc-2c50-d.svg" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/nvidia-h100-workload-hpc-2c50-d.svg" data-title="AI-fused HPC Applications" id="nv-image-c2115d0029" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_700535989/nv_container/nv_image.coreimg.svg/1721739825755/nvidia-h100-workload-hpc-2c50-d.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="AI-fused HPC Applications" title="AI-fused HPC Applications" data-analytics="nv-image-c2115d0029"/> </noscript> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-015ef94295" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><span class="p--small">Projected performance subject to change. 3D FFT (4K^3) throughput | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB | Genome Sequencing (Smith-Waterman) | 1 A100 | 1 H100</span></p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-3475d9756a" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-ba2408a6d0" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Exascale High-Performance Computing </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-c0e0dc03d1" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>The NVIDIA data center platform consistently delivers performance gains beyond Moore’s law. And H100’s new breakthrough AI capabilities further amplify the power of HPC+AI to accelerate time to discovery for scientists and researchers working on solving the world’s most important challenges.</p> <p>H100 triples the floating-point operations per second (FLOPS) of double-precision Tensor Cores, delivering 60 teraflops of FP64 computing for HPC. AI-fused HPC applications can also leverage H100’s TF32 precision to achieve one petaflop of throughput for single-precision matrix-multiply operations, with zero code changes. </p> <p>H100 also features new DPX instructions that deliver 7X higher performance over A100 and 40X speedups over CPUs on dynamic programming algorithms such as Smith-Waterman for DNA sequence alignment and protein alignment for protein structure prediction.</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-a46d7e3dc2" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" href="https://developer.nvidia.com/hpc-application-performance"> <span class="btn-text">Review Latest GPU Performance on HPC Applications</span> </a> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-3cc248d9c3" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><span class="p--small">DPX instructions comparison NVIDIA HGX™ H100 4-GPU vs dual socket 32-core IceLake.</span></p> </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="data-analytics" class="p-t-30 p-b-30 lap-p-t-30 lap-p-b-30 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15 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-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch p-column-reverse "> <div class="nv-container container responsivegrid"> <div id="container-7133068421" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-3f2fc4e15a" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Accelerated Data Analytics </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-defc637788" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>Data analytics often consumes the majority of time in AI application development. Since large datasets are scattered across multiple servers, scale-out solutions with commodity CPU-only servers get bogged down by a lack of scalable computing performance.</p> <p>Accelerated servers with H100 deliver the compute power—along with 3 terabytes per second (TB/s) of memory bandwidth per GPU and scalability with NVLink and NVSwitch™—to tackle data analytics with high performance and scale to support massive datasets. Combined with NVIDIA Quantum-2 InfiniBand, Magnum IO software, GPU-accelerated Spark 3.0, and <a href="https://www.nvidia.com/en-us/deep-learning-ai/software/rapids/">NVIDIA RAPIDS™</a>, the NVIDIA data center platform is uniquely able to accelerate these huge workloads with higher performance and efficiency.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-image image"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_4163128/nv_image.coreimg.100{.width}.jpeg/1721739825937/h100-tensor-core-data-analytics-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/h100-tensor-core-data-analytics-2c50-d@2x.jpg" data-title="Accelerated servers with H100" id="nv-image-dca636b5f0" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_4163128/nv_image.coreimg.jpeg/1721739825937/h100-tensor-core-data-analytics-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="Accelerated servers with H100" title="Accelerated servers with H100" data-analytics="nv-image-dca636b5f0"/> </noscript> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-71109bc609" class="p-t-30 p-b-30 lap-p-t-30 lap-p-b-30 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15 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-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch "> <div class="nv-image image"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_739282046/nv_image.coreimg.100{.width}.jpeg/1721739826001/hopper-mig-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-mig-2c50-d@2x.jpg" data-title="NVIDIA Multi-Instance GPU" id="nv-image-0a5084ecca" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_739282046/nv_image.coreimg.jpeg/1721739826001/hopper-mig-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="NVIDIA Multi-Instance GPU" title="NVIDIA Multi-Instance GPU" data-analytics="nv-image-0a5084ecca"/> </noscript> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-d1c11b63cd" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-ef7288506c" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Enterprise-Ready Utilization </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-a6334088c5" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>IT managers seek to maximize utilization (both peak and average) of compute resources in the data center. They often employ dynamic reconfiguration of compute to right-size resources for the workloads in use. </p> <p>H100 with MIG lets infrastructure managers standardize their GPU-accelerated infrastructure while having the flexibility to provision GPU resources with greater granularity to securely provide developers the right amount of accelerated compute and optimize usage of all their GPU resources.</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-3ae2ce5a27" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/"> <span class="btn-text">Learn More About MIG</span> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="confidential-computing" class="p-t-30 p-b-30 lap-p-t-30 lap-p-b-30 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15 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-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch p-column-reverse "> <div class="nv-container container responsivegrid"> <div id="container-951e0c5877" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-0154b81cfe" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Built-In Confidential Computing </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-06326a1d72" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>Traditional Confidential Computing solutions are CPU-based, which is too limited for compute-intensive workloads such as AI at scale. NVIDIA Confidential Computing is a built-in security feature of the <a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/">NVIDIA Hopper architecture</a> that made H100 the world’s first accelerator with these capabilities. With <a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/">NVIDIA Blackwell</a>, the opportunity to exponentially increase performance while protecting the confidentiality and integrity of data and applications in use has the ability to unlock data insights like never before. Customers can now use a hardware-based trusted execution environment (TEE) that secures and isolates the entire workload in the most performant way.</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-76095ad454" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/"> <span class="btn-text">Learn More About NVIDIA Confidential Computing</span> </a> </div> </div> </div> </div> </div> </div> <div class="nv-image image"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_934925062/nv_image.coreimg.100{.width}.jpeg/1721739826178/hopper-h100-confidential-computing-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-confidential-computing-2c50-d@2x.jpg" data-title="NVIDIA Confidential Computing Solutions" id="nv-image-bf57d05c85" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_934925062/nv_image.coreimg.jpeg/1721739826178/hopper-h100-confidential-computing-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="NVIDIA Confidential Computing Solutions" title="NVIDIA Confidential Computing Solutions" data-analytics="nv-image-bf57d05c85"/> </noscript> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="grace-hopper" class="p-t-30 p-b-75 lap-p-t-30 lap-p-b-75 tab-p-t-15 tab-p-b-45 mob-p-t-15 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"> <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch "> <div class="nv-image image"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_177275295/nv_image.coreimg.100{.width}.jpeg/1721739826243/hopper-h100-grace-hopper-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-grace-hopper-2c50-d@2x.jpg" data-title="NVIDIA Confidential Computing Solutions" id="nv-image-7cd82c92cb" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_177275295/nv_image.coreimg.jpeg/1721739826243/hopper-h100-grace-hopper-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="NVIDIA Confidential Computing Solutions" title="NVIDIA Confidential Computing Solutions" data-analytics="nv-image-7cd82c92cb"/> </noscript> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-4d4cac87a3" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-5b50e286c0" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h2 class="title "> Exceptional Performance for Large-Scale AI and HPC </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-482e320ca8" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>The Hopper Tensor Core GPU will power the NVIDIA Grace Hopper CPU+GPU architecture, purpose-built for terabyte-scale accelerated computing and providing 10X higher performance on large-model AI and HPC. The NVIDIA Grace CPU leverages the flexibility of the Arm® architecture to create a CPU and server architecture designed from the ground up for accelerated computing. The Hopper GPU is paired with the Grace CPU using NVIDIA’s ultra-fast chip-to-chip interconnect, delivering 900GB/s of bandwidth, 7X faster than PCIe Gen5. 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Servers equipped with H100 NVL GPUs increase Llama 2 70B performance up to 5X over NVIDIA A100 systems while maintaining low latency in power-constrained data center environments.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid nv-container--theme-dark aem-GridColumn aem-GridColumn--default--12"> <div id="bm-uf" 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-45 mob-p-b-15 with-image-as-bg d-top-align d-left-align l-left-align l-top-align t-center-align t-middle-align m-top-align m-left-align m-cont-h-l d-content-align-center l-content-align-center t-content-align-center m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" data-cmp-disableMidgroundAutoHeight="false" data-cmp-disableVideoAutoHeight="false" style="background-color:#000000;"> <div class="nv-img-as-bg d-image-center l-image-center t-image-center p-image-center "> <picture data-nv-lazyload 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.h100-specs table { padding-left: 0px; padding-right: 0px; } } @media screen and (max-width: 1024px) and (min-width: 768px) { .scrolling { overflow-x: scroll; } .h100-specs th:first-child { position: sticky; left: 0; background: #f7f7f7; } .h100-specs td:first-child { text-align: left; left: 0; position: sticky; background: #f7f7f7; } .h100-specs td { min-width: 160px; } .h100-specs table { padding-left: 0px; padding-right: 0px; } } @media screen and (max-width: 767px) { #compareSpecsChart.h100-specs { /* max-height: 355px;*/ } .scrolling { overflow-x: scroll; } .h100-specs th:first-child { position: sticky; left: 0; background: #f7f7f7; } .h100-specs td:first-child { text-align: left; left: 0; position: sticky; background: #f7f7f7; } .h100-specs td { min-width: 115px; } .h100-specs th br { display: none; } .h100-specs table { padding-left: 0px; padding-right: 0px; } .description.p--small.h100-specs-legal { padding: 20px 20px 0 15px; } } </style><div id="SpecsChart" class="h100-specs scrolling"> <table id="tab-h100" cellspacing="0" cellpadding="0"> <thead> <tr> <th>   </th> <th> H100 SXM </th> <th> H100 NVL</th> </tr> </thead> <tbody> <tr> <td> FP64 </td> <td> 34 teraFLOPS </td> <td> 30 teraFLOPs </td> </tr> <tr> <td> FP64 Tensor Core </td> <td> 67 teraFLOPS </td> <td> 60 teraFLOPs </td> </tr> <tr> <td> FP32 </td> <td> 67 teraFLOPS </td> <td> 60 teraFLOPs </td> </tr> <tr> <td> TF32 Tensor Core<sup>*</sup> </td> <td> 989 teraFLOPS</td> <td> 835 teraFLOPs</td> </tr> <tr> <td> BFLOAT16 Tensor Core<sup>*</sup> </td> <td> 1,979 teraFLOPS</td> <td> 1,671 teraFLOPS</td> </tr> <tr> <td> FP16 Tensor Core<sup>*</sup> </td> <td> 1,979 teraFLOPS</td> <td> 1,671 teraFLOPS</td> </tr> <tr> <td> FP8 Tensor Core<sup>*</sup> </td> <td> 3,958 teraFLOPS</td> <td> 3,341 teraFLOPS</td> </tr> <tr> <td> INT8 Tensor Core<sup>*</sup> </td> <td> 3,958 TOPS</td> <td> 3,341 TOPS</td> </tr> <tr> <td> GPU Memory </td> <td> 80GB </td> <td> 94GB</td> </tr> <tr> <td> GPU Memory Bandwidth </td> <td> 3.35TB/s </td> <td> 3.9TB/s </td> </tr> <tr> <td> Decoders </td> <td> 7 NVDEC<br> 7 JPEG </td> <td> 7 NVDEC<br> 7 JPEG </td> </tr> <tr> <td> Max Thermal Design Power (TDP) </td> <td> Up to 700W (configurable) </td> <td> 350-400W (configurable) </td> </tr> <tr> <td> Multi-Instance GPUs </td> <td> Up to 7 MIGS @ 10GB each </td> <td> Up to 7 MIGS @ 12GB each </td> </tr> <tr> <td> Form Factor </td> <td> SXM </td> <td> PCIe<br> dual-slot air-cooled</td> </tr> <tr> <td> Interconnect </td> <td> NVIDIA NVLink™: 900GB/s <br> PCIe Gen5: 128GB/s </td> <td> NVIDIA NVLink: 600GB/s <br> PCIe Gen5: 128GB/s</td> </tr> <tr> <td> Server Options </td> <td> NVIDIA HGX H100 Partner and NVIDIA-<br>Certified Systems<sup>™</sup> with 4 or 8 GPUs <br>NVIDIA DGX H100 with 8 GPUs </td> <td>Partner and NVIDIA-Certified Systems with 1–8 GPUs</td> </tr> <tr> <td> NVIDIA AI Enterprise </td> <td> Add-on </td> <td> Included </td> </tr> </tbody> </table> </div> <div class="description h100-specs-legal"> <span class="p--small"><br> * With sparsity</span> </div></div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-8bf4eb6da5" class="p-t-60 p-b-60 lap-p-t-60 lap-p-b-60 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"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-5521d4c1a0" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p><span class="p--large">Take a deep dive into the NVIDIA Hopper architecture.</span></p> </div> </div> </div> </div> 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