{"id":24077,"date":"2026-03-20T18:16:10","date_gmt":"2026-03-20T09:16:10","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=24077"},"modified":"2026-03-20T18:16:10","modified_gmt":"2026-03-20T09:16:10","slug":"microsoft-at-nvidia-gtc-new-options-for-microsoft-foundry-azure-ai-infrastructure-and-bodily-ai","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=24077","title":{"rendered":"Microsoft at NVIDIA GTC: New options for Microsoft Foundry, Azure AI infrastructure and Bodily AI"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>Microsoft combines accelerated computing with cloud scale engineering to carry superior AI capabilities to our prospects. For years, we\u2019ve labored with NVIDIA to combine {hardware}, software program and infrastructure to energy lots of at the moment\u2019s most necessary AI breakthroughs.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-69eba569d43d7\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" aria-label=\"item-69eba569d43d7\"  type=\"checkbox\" id=\"item-69eba569d43d7\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aireviewirush.com\/?p=24077\/#What%E2%80%99s_new_at_NVIDIA_GTC\" title=\"What\u2019s new at NVIDIA GTC\">What\u2019s new at NVIDIA GTC<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=24077\/#From_Frontier_fashions_to_production-ready_brokers\" title=\"From Frontier fashions to production-ready brokers\">From Frontier fashions to production-ready brokers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=24077\/#Scaling_AI_infrastructure_for_the_world%E2%80%99s_most_demanding_workloads\" title=\"Scaling AI infrastructure for the world\u2019s most demanding workloads\">Scaling AI infrastructure for the world\u2019s most demanding workloads<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=24077\/#Bringing_AI_into_the_bodily_world\" title=\"Bringing AI into the bodily world\">Bringing AI into the bodily world<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=24077\/#From_innovation_to_impression\" title=\"From innovation to impression\">From innovation to impression<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"What%E2%80%99s_new_at_NVIDIA_GTC\"><\/span><strong>What\u2019s new at NVIDIA GTC<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Expanded Microsoft Foundry capabilities to construct, deploy and function production-ready AI brokers on NVIDIA accelerators and open NVIDIA Nemotron fashions<\/li>\n<li>New Azure AI infrastructure optimized for inference-heavy, reasoning-based workloads, together with the primary hyperscale cloud to energy on next-generation NVIDIA Vera Rubin NVL72 methods<\/li>\n<li>Deeper integration throughout Microsoft Foundry, Microsoft Cloth and NVIDIA Omniverse libraries and open frameworks to assist Bodily AI methods from simulation to actual\u2011world operations<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"From_Frontier_fashions_to_production-ready_brokers\"><\/span><strong>From Frontier fashions to production-ready brokers<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>On the basis of this technique is Microsoft Foundry: serving because the working system for constructing, deploying and working AI at enterprise scale. Foundry builds on Azure to carry collectively fashions, instruments, knowledge and observability right into a single system designed for manufacturing brokers. At this time we\u2019re increasing these capabilities throughout Foundry Agent Service and NVIDIA Nemotron fashions.<\/p>\n<p>The following-generation <a href=\"https:\/\/aka.ms\/FoundryAgentsGA-blog\" target=\"_blank\" rel=\"noopener\">Foundry Agent Service and Observability in Foundry Management Aircraft<\/a> are actually usually accessible, enabling organizations to construct and function AI brokers at manufacturing scale. Foundry Agent Service permits groups to shortly develop brokers that motive, plan and act throughout instruments, knowledge and workflows. As soon as created, Foundry Management Aircraft offers the developer end-to-end visibility into agent conduct, unlocking each developer productiveness in addition to enterprise belief. Firms resembling <a href=\"https:\/\/aka.ms\/CorvusEnergy\" target=\"_blank\" rel=\"noopener\">Corvus Power<\/a> are already utilizing Foundry to switch guide inspection workflows with agent-driven operational intelligence throughout their international fleet.<\/p>\n<p>We&#8217;re additional simplifying the trail from prototype to manufacturing with the supply of <a href=\"https:\/\/aka.ms\/VoiceAgent-preview-blog\" target=\"_blank\" rel=\"noopener\">Voice Stay API integration with Foundry Agent Service<\/a>, in public preview, which allows builders to construct voice-first, multimodal, real-time agentic experiences. This pairs with the final availability of a refreshed Microsoft Foundry portal and expanded integrations for Palo Alto Networks\u2019 Prisma AIRS and Zenity, delivering deeper builder experiences and runtime safety throughout all the agent lifecycle.<\/p>\n<p><a href=\"https:\/\/aka.ms\/gtc2026foundrymodelsblog\" target=\"_blank\" rel=\"noopener\">NVIDIA Nemotron fashions are additionally now accessible via Microsoft Foundry<\/a>, becoming a member of the widest collection of fashions on any cloud, together with the most recent reasoning, frontier and open fashions. This bolsters our latest partnership announcement bringing <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/introducing-fireworks-ai-on-microsoft-foundry-bringing-high-performance-low-latency-open-model-inference-to-azure\/\" target=\"_blank\" rel=\"noopener\">Fireworks AI to Microsoft Foundry<\/a>, enabling prospects to fine-tune open-weight fashions like NVIDIA Nemotron into low-latency belongings that may be distributed to the sting.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Scaling_AI_infrastructure_for_the_world%E2%80%99s_most_demanding_workloads\"><\/span><strong>Scaling AI infrastructure for the world\u2019s most demanding workloads<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Inference AI workloads are reshaping value, efficiency and system design necessities. To operationalize agentic AI at scale, prospects want purpose-built infrastructure for inference\u2011heavy, reasoning\u2011based mostly workloads that may be deployed and operated constantly throughout international and controlled environments.<\/p>\n<p>Microsoft\u2019s AI infrastructure strategy\u00a0is engineered to seamlessly carry next-generation NVIDIA methods into Azure datacenters which can be designed for energy, cooling networking and speedy generational upgrades. This enables our prospects to maneuver with velocity and agility <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/microsofts-strategic-ai-datacenter-planning-enables-seamless-large-scale-nvidia-rubin-deployments\" target=\"_blank\" rel=\"noopener\">and keep at the vanguard from technology to technology<\/a>.<\/p>\n<p>In lower than a yr, we\u2019ve deployed a whole bunch of hundreds of liquid-cooled Grace Blackwell GPUs throughout our international datacenter footprint, and now we&#8217;re excited to be the <a href=\"https:\/\/x.com\/satyanadella\/status\/2032515189086761005\">first hyperscale cloud to energy on NVIDIA\u2019s latest Vera Rubin NVL72 in our labs<\/a>.\u00a0Over the following few months, Vera Rubin NVL72 shall be rolled out into our fashionable, liquid-cooled Azure datacenters.<\/p>\n<p>Microsoft\u2019s infrastructure innovation with NVIDIA additionally extends to sovereign and controlled environments to offer prospects management of each the place AI runs and the way it evolves over time. Just lately, <a href=\"https:\/\/blogs.microsoft.com\/blog\/2026\/02\/24\/microsoft-sovereign-cloud-adds-governance-productivity-and-support-for-large-ai-models-securely-running-even-when-completely-disconnected\/\" target=\"_blank\" rel=\"noopener\">we introduced Foundry Native assist for contemporary infrastructure and huge AI fashions<\/a>, and at the moment we now have <a href=\"http:\/\/aka.ms\/GTC26SovAI\" target=\"_blank\" rel=\"noopener\">preliminary assist for NVIDIA Vera Rubin platform on Azure Native<\/a>, extending accelerated AI capabilities to customer-controlled environments. This strategy permits organizations to plan for next-generation AI workloads, together with reasoning-based and agentic methods, whereas sustaining Azure-consistent operations, governance and safety via our unified software program layer with Azure Arc and Foundry Native.<\/p>\n<div class=\"video-container responsive-youtube oembed-container\">\n<p id=\"ariaLabel_69bd0eb148d9a\" class=\"screen-reader-text\">YouTube Video<\/p>\n<p><iframe title=\"YouTube Video\" aria-labelledby=\"ariaLabel_69bd0eb148d9a&quot;\" width=\"100%\" height=\"560\" data-src=\"https:\/\/www.youtube-nocookie.com\/embed\/G7b114oWAL0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\"><\/iframe><button class=\"cookie-consent-btn\">Click on right here to load media<\/button><\/p>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"Bringing_AI_into_the_bodily_world\"><\/span><strong>Bringing AI into the bodily world<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>As AI strikes past digital experiences, Microsoft and NVIDIA are collaborating to assist the following wave of Bodily AI. At GTC, this work facilities on NVIDIA Bodily AI Information Manufacturing facility Blueprint, with Microsoft Foundry because the platform for internet hosting and working Bodily AI methods on Azure at cloud scale.<\/p>\n<p>By integrating this blueprint with Azure companies as a part of a Bodily AI Toolchain, Microsoft allows builders to construct, practice and function bodily AI and robotics workflows that join bodily belongings, simulation and cloud coaching environments into repeatable, enterprise-grade pipelines. To assist, we&#8217;re introducing a <a href=\"https:\/\/github.com\/microsoft\/physical-ai-toolchain\" target=\"_blank\" rel=\"noopener\">public Azure Bodily AI Toolchain GitHub repository<\/a> built-in with the Nvidia Bodily AI Information Manufacturing facility and with core Azure companies.<\/p>\n<p>To additional the impression of AI in actual\u2011world, bodily environments, at the moment Microsoft and NVIDIA are deepening the combination between Microsoft Cloth and NVIDIA Omniverse libraries, connecting reside operational knowledge with bodily correct digital twins and simulation. This enables organizations to see what\u2019s taking place throughout their bodily methods, perceive it in actual time and use AI to resolve what to do subsequent. In follow, prospects in manufacturing and operations and past are utilizing this strategy to maneuver past dashboards and alerts to coordinated, AI\u2011pushed motion throughout machines, amenities and workflows.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"From_innovation_to_impression\"><\/span><strong>From innovation to impression<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Microsoft is delivering dependable, manufacturing\u2011scale AI by bringing collectively its international AI infrastructure, platforms and actual\u2011world methods with the most recent innovation from NVIDIA. For purchasers, this implies the power to function intelligence constantly, operating inference-heavy, reasoning-based and bodily AI workloads with the efficiency, safety and governance required for actual companies and controlled industries.<\/p>\n<p>Whether or not powering always-on brokers, scaling next-generation AI infrastructure or deploying clever methods in factories, power amenities and sovereign environments, Microsoft and Nvidia are serving to prospects transfer quicker from perception to motion.<\/p>\n<p><em><span class=\"TextRun SCXW7582106 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW7582106 BCX8\"><strong>Yina Arenas<\/strong> leads product technique and execution for Microsoft Foundry, overseeing the tip<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">\u2013<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">to<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">\u2013<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">finish AI product portfolio, infrastructure, developer\u00a0<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">experiences<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">\u00a0and basis mannequin integration throughout OpenAI, Anthropic, Mistral,\u00a0<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">DeepSeek<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">\u00a0and others. She delivers an enterprise prepared, manufacturing grade AI platform trusted by international prospects for safe,\u00a0<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\">dependable<\/span><span class=\"NormalTextRun SCXW7582106 BCX8\"> and scalable AI.<\/span><\/span><\/em><\/p>\n<p class=\"tag-list\">Tags: <a aria-label=\"See more stories about AI\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/ai\/\" rel=\"tag noopener\" target=\"_blank\">AI<\/a>, <a aria-label=\"See more stories about Azure\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/azure\/\" rel=\"tag noopener\" target=\"_blank\">Azure<\/a>, <a aria-label=\"See more stories about Azure AI\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/azure-ai\/\" rel=\"tag noopener\" target=\"_blank\">Azure AI<\/a>, <a aria-label=\"See more stories about Azure Arc\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/azure-arc\/\" rel=\"tag noopener\" target=\"_blank\">Azure Arc<\/a>, <a aria-label=\"See more stories about Foundry Agent Service\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/foundry-agent-service\/\" rel=\"tag noopener\" target=\"_blank\">Foundry Agent Service<\/a>, <a aria-label=\"See more stories about Foundry Local\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/foundry-local\/\" rel=\"tag noopener\" target=\"_blank\">Foundry Native<\/a>, <a aria-label=\"See more stories about Microsoft Fabric\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/microsoft-fabric\/\" rel=\"tag noopener\" target=\"_blank\">Microsoft Cloth<\/a>, <a aria-label=\"See more stories about Microsoft Foundry\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/microsoft-foundry\/\" rel=\"tag noopener\" target=\"_blank\">Microsoft Foundry<\/a>, <a aria-label=\"See more stories about Physical AI\" href=\"https:\/\/blogs.microsoft.com\/blog\/tag\/physical-ai\/\" rel=\"tag noopener\" target=\"_blank\">Bodily AI<\/a><\/p>\n<\/p><\/div>\n<p><script type=\"text\/javascript\">\n\tfunction msPixelsInit() {\n\t\t\t\t_linkedin_partner_id = \"7850\";\nwindow._linkedin_data_partner_ids = window._linkedin_data_partner_ids || [];\nwindow._linkedin_data_partner_ids.push(_linkedin_partner_id);\n(function(l) {\nif (!l){window.lintrk = function(a,b){window.lintrk.q.push([a,b])};\nwindow.lintrk.q=[]}\nvar s = document.getElementsByTagName(\"script\")[0];\nvar b = document.createElement(\"script\");\nb.type = \"text\/javascript\";b.async = true;\nb.src = https:\/\/snap.licdn.com\/li.lms-analytics\/insight.min.js;\ns.parentNode.insertBefore(b, s);})(window.lintrk);\t\t\t\t!function(f,b,e,v,n,t,s)\n{if(f.fbq)return;n=f.fbq=function(){n.callMethod?\nn.callMethod.apply(n,arguments):n.queue.push(arguments)};\nif(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\nn.queue=[];t=b.createElement(e);t.async=!0;\nt.src=v;s=b.getElementsByTagName(e)[0];\ns.parentNode.insertBefore(t,s)}(window, document,'script',\n'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\nfbq('init', '1770559986549030');\nfbq('track', 'PageView');\t\t\t}\n\tif (typeof mscc === 'undefined' || mscc.hasConsent()) {\n\t\tmsPixelsInit();\n\t}\n<\/script><br \/>\n<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft combines accelerated computing with cloud scale engineering to carry superior AI capabilities to our prospects. For years, we\u2019ve labored with NVIDIA to combine {hardware}, software program and infrastructure to energy lots of at the moment\u2019s most necessary AI breakthroughs. What\u2019s new at NVIDIA GTC Expanded Microsoft Foundry capabilities to construct, deploy and function production-ready [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":24079,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-24077","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cloud-computing"},"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/24077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24077"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/24077\/revisions"}],"predecessor-version":[{"id":24078,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/24077\/revisions\/24078"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/24079"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}