Modern Data Centers to Accelerate All Workloads

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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>. 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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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Deploy Generative AI to create innovative solutions. Expedite AI inference processes. Enhance applications to drive scientific breakthroughs. Gain insights into the workloads that leverage the efficiency and superior performance of our data center.</span></span></p> </div> </div> </div> </div> <div class="nv-separator separator aem-GridColumn aem-GridColumn--default--12"> <div id="nv-separator-562bcd152c" class="cmp-separator"> <style> @media screen and (min-width:1350px){ #nv-separator-562bcd152c{ height:30px; } } @media screen and (min-width:1024px) and (max-width:1349px){ #nv-separator-562bcd152c{ height:30px; } } @media screen and (min-width:640px) and (max-width:1023px){ #nv-separator-562bcd152c{ height:30px; } } @media screen and (max-width: 639px){ #nv-separator-562bcd152c{ height:10px; } } </style> </div></div> <div class="nv-framegallery parbase aem-GridColumn aem-GridColumn--default--12"> <div class="nv-usecase-container "> <div class="nv-usecase--cards-container" data-numCards="6"> <div id="-Life Sciences " class="nv-usecase--card darktheme nv-container--card-dark items-6 nv-usecase--card-first" data-gradient-start="rgba(17,17,17,0.7)" data-gradient-end="rgba(17,17,17,0)" data-background-text-color="#FFFFFF" data-index="0" data-imgcredit-text-color="#CCCCCC"> <div class="nv-usecase--card-inner-container "> <h4 class="nv-usecase--card-titles h--small"> Data Science </h4> <p class="nv-usecase--card-titles nv-usecase--card-subtitle"> Accelerate data pipelines end-to-end. </p> <div class="nv-usecase--card-expanded-content"> <div class="nv-usecase--body-text"> <div class="nv-usecase--body-text-wrapper"> <p>Every day businesses are collecting unprecedented amounts of data. This massive amount of information is a missed opportunity for those not using GPU-accelerated analytics. </p> <p>The more data you have, the more you can learn. With the <a href="https://www.nvidia.com/en-us/data-center/">NVIDIA data center platform</a>, businesses can create actionable insights faster than ever before.</p> </div> </div> <div class="nv-container--card-dark"> <div class="nv-button button nv-button-text nv-button-caret" style="padding-left: 0px"> <div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left"> <a class="btn-content btncta" data-title="Use Case CTA" href="https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/" target="_self"> <span class="btn-text"> Learn More About Data Science</span> </a> </div> </div> </div> </div> </div> <figure class="autofit"> <picture data-nv-lazyload data-srcset-mobile="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-data-science-fg-i1of6-p.jpg" data-srcset-tablet="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-data-science-fg-i1of6-t.jpg" data-srcset-laptop="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-data-science-fg-i1of6-l.jpg" data-srcset-desktop="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-data-science-fg-i1of6-d.jpg, /content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-data-science-fg-i1of6-d.jpg 2x"> <source data-source-mobile media="(max-width: 639px)"/> <source data-source-tablet media="(min-width:640px) and (max-width:1023px)"/> <source data-source-laptop media="(min-width:1024px) and (max-width:1349px)"/> <source data-source-desktop media="(min-width:1350px)"/> <img class="nv-usecase--card-img" onload="window.initLazyLoadingImages(''.concat('-', 'Life Sciences '));" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII="/> </picture> <figcaption class="nv-usecase--img-copyright"> </figcaption> </figure> <span class="nv-usecase--card-close-btn"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M12,2A10,10,0,1,0,22,12,9.9909,9.9909,0,0,0,12,2Zm5,13.59L15.59,17,12,13.41,8.41,17,7,15.59,10.59,12,7,8.41,8.41,7,12,10.59,15.59,7,17,8.41,13.41,12Z"></path> <polygon class="nv-usecase--card-close-btn-cross" points="7 8.41 8.41 7 12 10.59 15.59 7 17 8.41 13.41 12 17 15.59 15.59 17 12 13.41 8.41 17 7 15.59 10.59 12 7 8.41"></polygon> </svg> </span> </div> <div id="-Physics" class="nv-usecase--card customtheme nv-container--card-dark items-6 " data-gradient-start="rgba(17, 17, 17, 1.0)" data-gradient-end="rgba(17, 17, 17, 0)" data-background-text-color="#FFFFFF" data-index="1" data-imgcredit-text-color="#333333"> <div class="nv-usecase--card-inner-container "> <h4 class="nv-usecase--card-titles h--small"> Generative AI </h4> <p class="nv-usecase--card-titles nv-usecase--card-subtitle"> Customize and deploy pretrained foundation models. </p> <div class="nv-usecase--card-expanded-content"> <div class="nv-usecase--body-text"> <div class="nv-usecase--body-text-wrapper"> <p>Generative AI capabilities are taking the world by storm. AI can now summarize text, compose images, write code, and more. Enterprise applications need AI that’s customized to focus on their domain, be knowledgeable about their business, and have the skills necessary to accomplish high-value tasks. These models need to scale across business functions and learn as the business grows and evolves. Generative AI models will codify your organization’s intelligence.</p> </div> </div> <div class="nv-container--card-dark"> <div class="nv-button button nv-button-text nv-button-caret" style="padding-left: 0px"> <div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left"> <a class="btn-content btncta" data-title="Use Case CTA" href="https://www.nvidia.com/en-us/ai-data-science/generative-ai/" target="_blank" rel="noopener noreferrer"> <span class="btn-text"> Learn More About Generative AI</span> </a> </div> </div> </div> </div> </div> <figure class="autofit"> <picture data-nv-lazyload data-srcset-mobile="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-generative-ai-fg-i2of6-p.jpg" data-srcset-tablet="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-generative-ai-fg-i2of6-t.jpg" data-srcset-laptop="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-generative-ai-fg-i2of6-l.jpg" data-srcset-desktop="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-generative-ai-fg-i2of6-d.jpg, /content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-generative-ai-fg-i2of6-d.jpg 2x"> <source data-source-mobile media="(max-width: 639px)"/> <source data-source-tablet media="(min-width:640px) and (max-width:1023px)"/> <source data-source-laptop media="(min-width:1024px) and (max-width:1349px)"/> <source data-source-desktop media="(min-width:1350px)"/> <img class="nv-usecase--card-img" onload="window.initLazyLoadingImages(''.concat('-', 'Physics'));" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII="/> </picture> <figcaption class="nv-usecase--img-copyright"> </figcaption> </figure> <span class="nv-usecase--card-close-btn"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M12,2A10,10,0,1,0,22,12,9.9909,9.9909,0,0,0,12,2Zm5,13.59L15.59,17,12,13.41,8.41,17,7,15.59,10.59,12,7,8.41,8.41,7,12,10.59,15.59,7,17,8.41,13.41,12Z"></path> <polygon class="nv-usecase--card-close-btn-cross" points="7 8.41 8.41 7 12 10.59 15.59 7 17 8.41 13.41 12 17 15.59 15.59 17 12 13.41 8.41 17 7 15.59 10.59 12 7 8.41"></polygon> </svg> </span> </div> <div id="-Climate" class="nv-usecase--card darktheme nv-container--card-dark items-6 " data-gradient-start="rgba(17,17,17,0.7)" data-gradient-end="rgba(17,17,17,0)" data-background-text-color="#FFFFFF" data-index="2" data-imgcredit-text-color="#CCCCCC"> <div class="nv-usecase--card-inner-container "> <h4 class="nv-usecase--card-titles h--small"> AI Inference </h4> <p class="nv-usecase--card-titles nv-usecase--card-subtitle"> Deploy AI models faster, with more accuracy, and fewer servers. </p> <div class="nv-usecase--card-expanded-content"> <div class="nv-usecase--body-text"> <div class="nv-usecase--body-text-wrapper"> <p>Accelerating inference workloads in the data center requires an agile, elastic infrastructure that can scale out and utilize every bit of compute resources available. The latest NVIDIA solutions are uniquely positioned to accelerate inference workloads providing the highest throughput and real-time responsiveness needed to bring AI to applications.</p> </div> </div> <div class="nv-container--card-dark"> <div class="nv-button button nv-button-text nv-button-caret" style="padding-left: 0px"> <div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left"> <a class="btn-content btncta" data-title="Use Case CTA" href="https://www.nvidia.com/en-us/deep-learning-ai/solutions/inference-platform/" target="_self"> <span class="btn-text"> Learn More About Accelerating Inference</span> </a> </div> </div> </div> </div> </div> <figure class="autofit"> <picture data-nv-lazyload data-srcset-mobile="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-ai-inference-fg-i3of6-p.jpg" data-srcset-tablet="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-ai-inference-fg-i3of6-t.jpg" data-srcset-laptop="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-ai-inference-fg-i3of6-l.jpg" data-srcset-desktop="/content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-ai-inference-fg-i3of6-d.jpg, /content/dam/en-zz/Solutions/Data-Center/Home/rebuild/workload-ai-inference-fg-i3of6-d.jpg 2x"> <source data-source-mobile media="(max-width: 639px)"/> <source data-source-tablet media="(min-width:640px) and (max-width:1023px)"/> <source data-source-laptop media="(min-width:1024px) and (max-width:1349px)"/> <source data-source-desktop media="(min-width:1350px)"/> <img class="nv-usecase--card-img" onload="window.initLazyLoadingImages(''.concat('-', 'Climate'));" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII="/> </picture> <figcaption class="nv-usecase--img-copyright"> </figcaption> </figure> <span class="nv-usecase--card-close-btn"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M12,2A10,10,0,1,0,22,12,9.9909,9.9909,0,0,0,12,2Zm5,13.59L15.59,17,12,13.41,8.41,17,7,15.59,10.59,12,7,8.41,8.41,7,12,10.59,15.59,7,17,8.41,13.41,12Z"></path> <polygon class="nv-usecase--card-close-btn-cross" points="7 8.41 8.41 7 12 10.59 15.59 7 17 8.41 13.41 12 17 15.59 15.59 17 12 13.41 8.41 17 7 15.59 10.59 12 7 8.41"></polygon> </svg> </span> </div> <div id="-Cybersecurity" class="nv-usecase--card darktheme nv-container--card-dark items-6 " data-gradient-start="rgba(17,17,17,0.7)" data-gradient-end="rgba(17,17,17,0)" data-background-text-color="#FFFFFF" data-index="3" data-imgcredit-text-color="#CCCCCC"> <div class="nv-usecase--card-inner-container "> <h4 class="nv-usecase--card-titles h--small"> High-Performance Computing </h4> <p class="nv-usecase--card-titles nv-usecase--card-subtitle"> Accelerate scientific breakthroughs with enhanced precision and energy efficiency. </p> <div class="nv-usecase--card-expanded-content"> <div class="nv-usecase--body-text"> <div class="nv-usecase--body-text-wrapper"> <p>HPC is one of the most essential tools fueling the advancement of science in the data center. Optimizing thousands of applications across a broad range of domains, NVIDIA GPUs are the engine of the modern <a href="https://www.nvidia.com/en-us/data-center/solutions/">HPC data center</a>. 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