{"id":135733,"date":"2026-05-18T22:28:59","date_gmt":"2026-05-18T22:28:59","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=93021"},"modified":"2026-05-18T22:28:59","modified_gmt":"2026-05-18T22:28:59","slug":"nvidia-ceo-jensen-huang-at-dell-technologies-world-demand-is-going-parabolic-utterly-parabolic-2","status":"publish","type":"post","link":"http:\/\/webdomino.net\/index.php\/nvidia\/nvidia-ceo-jensen-huang-at-dell-technologies-world-demand-is-going-parabolic-utterly-parabolic-2\/","title":{"rendered":"NVIDIA CEO Jensen Huang at Dell Technologies World: \u201cDemand Is Going Parabolic, Utterly Parabolic\u201d"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><\/div><p><span style=\"font-weight: 400;\">Agentic AI inference at one-tenth the cost per token with <\/span><a  href=\"http:\/\/nvidia.com\/en-us\/data-center\/vera-rubin-nvl72\/\"><span style=\"font-weight: 400;\">NVIDIA Vera Rubin NVL72<\/span><\/a><span style=\"font-weight: 400;\">. Agent sandboxes run 50% faster on <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/vera-cpu\/\"><span style=\"font-weight: 400;\">NVIDIA Vera<\/span><\/a><span style=\"font-weight: 400;\"> than traditional CPUs \u2014 while enterprise data queries are up to <\/span><span style=\"font-weight: 400;\">3x<\/span><span style=\"font-weight: 400;\"> faster with the Vera CPU. And <\/span><span style=\"font-weight: 400;\">5,000<\/span><span style=\"font-weight: 400;\"> enterprises like Lilly, Samsung, and Honeywell are running AI workloads on Dell AI Factories with NVIDIA, turning ambition into production at scale.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s the picture Michael Dell painted Monday morning at Dell Technologies World. Dell sized the stakes: worldwide AI infrastructure spending could reach $3-4 trillion by 2030, with token consumption projected to grow 3,400% in the same window.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cThere is a massive AI investment boom that&#8217;s already underway, and a productivity boom is beginning, and in some companies, including ours,\u201d Dell said. \u201cThe rate of change has gone parabolic, and it&#8217;s not slowing down.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Then, the Dell chairman and CEO welcomed NVIDIA founder and CEO Jensen Huang to the keynote stage \u2014 with a look at the NVIDIA portfolio behind him, from a deskside Dell Pro Max with GB10 workstation to a Dell PowerRack with NVIDIA Vera Rubin NVL72.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cWe\u2019ve now arrived at the era of useful AI, which is the reason why demand is going parabolic, utterly parabolic,\u201d Huang said. \u201cWhat took months now takes weeks. What took weeks now takes days. And what takes days now takes hours. It&#8217;s a big deal in productivity, but a gigantic leap in computation requirements.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The message: Enterprise AI has moved past pilots into agentic AI and inference deployments at scale. The platform for what\u2019s next is the Dell AI Factory with NVIDIA \u2014 running frontier models and autonomous agents securely behind the enterprise perimeter.<\/span><\/p>\n<h2><b>A New AI Factory for the Agentic Era<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The accelerated computing news leads the refresh: The Dell PowerEdge XE9812, built on NVIDIA Vera Rubin NVL72, delivers up to 10x lower cost-per-token than Blackwell for massive-scale agentic AI inferencing.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It&#8217;s joined by PowerEdge XE9880L, XE9885L and XE9882L servers \u2014 the first Dell systems built on <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/hgx\/\"><span style=\"font-weight: 400;\">NVIDIA HGX Rubin NVL8<\/span><\/a><span style=\"font-weight: 400;\">, supporting up to 144 GPUs per rack with 100% direct liquid-cooled compute nodes and up to 5.5x the performance of HGX B200.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition, networking gets the new Dell PowerSwitch portfolio with <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/networking\/products\/infiniband\/quantum-x800\/\"><span style=\"font-weight: 400;\">NVIDIA Quantum-X800 InfiniBand<\/span><\/a><span style=\"font-weight: 400;\">, featuring liquid-cooled, co-packaged optics and <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/networking\/spectrumx\/\"><span style=\"font-weight: 400;\">NVIDIA Spectrum-6 Ethernet<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dell is also introducing Dell PowerRack, a fully integrated system \u2013 compute, networking and storage engineered as one \u2013 with thermal design, power management and software optimization built to work together from the ground up. The result is accelerated AI and HPC workloads at enterprise scale, without the integration overhead of component assembly.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">On the CPU side, Dell PowerEdge M9822 and R9822 servers bring NVIDIA Vera CPUs to the enterprise AI factory. Purpose-built for agentic AI, Vera runs data pipelines, analytics, sandboxed tools and code workloads where each step waits on the last.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With 1.2 TB\/s memory bandwidth and predictable performance under load, Vera completes agentic workloads 50% faster than x86 processors, helping PowerEdge systems increase AI factory output with faster agent responses and shorter feedback loops.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8220;Vera CPU has the highest single-threaded performance of any CPU in the world,\u201d Huang said. \u201cIt has three times the memory bandwidth \u2014 as a result, Starburst, DuckDB, all these databases run incredibly fast, because the agents are pounding on the databases, so the CPU had better be super fast.&#8221;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Starburst, a new data engine in the Dell AI Data Platform with NVIDIA<\/span><span style=\"font-weight: 400;\">, delivers 3x faster query throughput on NVIDIA Vera CPU for large-scale SQL analytics.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Enterprise data provides the fuel for the AI factory. Dell\u2019s update to its AI Data Platform with NVIDIA centers on accelerated data engines built on <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/cuda-x\/\"><span style=\"font-weight: 400;\">NVIDIA CUDA-X<\/span><\/a><span style=\"font-weight: 400;\"> libraries \u2014 including cuDF for structured data and cuVS for unstructured data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Multiple customers for Dell AI Factory with NVIDIA were featured in the keynote.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Diogo Rau, executive vice president and chief information and digital officer of <\/span><span style=\"font-weight: 400;\">Lilly<\/span><span style=\"font-weight: 400;\">, joined early in the keynote \u2014 discussing Lilly\u2019s AI-driven advancements and innovation in life sciences, powered by AI infrastructure deployed at scale with Dell and NVIDIA.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">He described technology as key to delivering cutting-edge science, at scale. \u201cI think we&#8217;re on the verge of maybe being able to end disease as we know it,\u201d Rau said. \u201cSomething like that was completely unimaginable 20 years ago, but today we can imagine it.&#8221;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A video from<\/span><span style=\"font-weight: 400;\"> Samsung <\/span><span style=\"font-weight: 400;\">followed \u2014 highlighting use cases for R&amp;D chip design and manufacturing running on Dell AI Factory with NVIDIA.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Honeywell<\/span><span style=\"font-weight: 400;\"> chief technology officer Suresh Venkatarayalu joined Michael Dell to walk through the company\u2019s move from public cloud to on-premises AI \u2014 using the Dell AI Factory and Dell AI Data Platform with NVIDIA for industrial AI use cases, digital twins and automation from data center to the edge.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u201cFor me, partnering with Dell and NVIDIA is not just about getting infrastructure,\u201d Venkatarayalu said. <\/span><span style=\"font-weight: 400;\">It&#8217;s the full AI stack, he explained: scalable, secured, and trusted by customers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And in financial services, Hudson River Trading, the algorithmic trading firm, is expanding its Dell deployment to power AI-driven research \u2014 running Dell PowerEdge XE9685L servers with NVIDIA accelerated computing and NVIDIA Spectrum-X Ethernet to scale with the firm\u2019s data, models and ambition.<\/span><\/p>\n<h2><b>Agents and Models On Premises \u2014 Securely<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Dell&#8217;s own AI adoption survey, cited from the keynote stage, found that 67% of AI workloads now run outside the cloud \u2014 on premises, on device, at the edge or in colocation \u2014 and that 88% of respondents are running at least one AI workload on-premises.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The on-premises AI announcements answered a question Dell put to the room directly: <\/span><span style=\"font-weight: 400;\">\u201cHow do you deploy the world\u2019s best AI models where you need them, with security and governance built in?\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The answer rests on <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/solutions\/confidential-computing\/\"><span style=\"font-weight: 400;\">NVIDIA Confidential Computing<\/span><\/a><span style=\"font-weight: 400;\"> \u2014 delivered together with <\/span><span style=\"font-weight: 400;\">Fortanix<\/span><span style=\"font-weight: 400;\">, Google, <\/span><span style=\"font-weight: 400;\">Red Hat,<\/span><span style=\"font-weight: 400;\"> and other partners \u2014 as the foundation for securely deploying frontier models inside the enterprise without exposing model IP or data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This enables enterprises to protect AI models and sensitive data in use while capturing the token efficiency, performance, and cost advantages of on-premises AI infrastructure.<\/span><\/p>\n<h2><b>Frontier Proprietary Models, Protected by Confidential Computing<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Google Distributed Cloud (GDC) with Gemini 3.0 is now available in preview on Dell PowerEdge XE9780 servers, accelerated by NVIDIA Blackwell and secured by NVIDIA Confidential Computing \u2014 giving enterprises a private confidential computing environment for advanced AI.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">SpaceXAI<\/span><span style=\"font-weight: 400;\"> will also bring the latest SpaceXAI models on-premises to the Dell AI Factory, wit<\/span><span style=\"font-weight: 400;\">h <\/span><span style=\"font-weight: 400;\">NVIDIA Confidential Computing keeping model weights and enterprise data protected end-to-end.<\/span><\/p>\n<h2><b>Open Frontier Models, Running Natively on the Dell AI Factory<\/b><\/h2>\n<p><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/foundation-models\/nemotron\/\"><span style=\"font-weight: 400;\">NVIDIA Nemotron<\/span><\/a><span style=\"font-weight: 400;\"> models \u2014 frontier-class open intelligence \u2014 run on Dell AI Factory infrastructure for enterprises that want open-weight models tuned to their own domains and data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Reflection&#8217;s open-source frontier AI models are also coming on premises, purpose-built for regulated industries, governments and sovereign entities.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Additional open models \u2014 MiniMax-M2.7, DeepSeek Pro, DeepSeek-V4, GLM 5.1 and Kimi K2.6 with NVIDIA NVFP4 optimization \u2014 are available on the Dell Enterprise Hub on Hugging Face, joining Gemma 4, NVIDIA Nemotron Super 3, Mistral Small 4 and Arcee Trinity-Large-Thinking.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this new agentic era, enterprises also need agents to work securely across the hybrid and on-premises environments where their data, systems, and workflows already live.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">OpenAI<\/span><span style=\"font-weight: 400;\"> Codex will connect with the Dell AI Data Platform, to help customers bring Codex closer to the internal context that makes agents useful: codebases, documentation, business systems, operational knowledge, and team workflows. Dell and OpenAI will also explore how Codex can connect with the Dell AI Factory.<\/span><\/p>\n<h2><b>Ecosystem of Software Partners<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Dell announced several new software partnerships for common enterprise AI use cases ranging from agentic AI and code assistants to computer vision.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This includes <\/span><span style=\"font-weight: 400;\">Palantir\u2019s<\/span> <a  href=\"https:\/\/www.palantir.com\/sovereignaios\/\"><span style=\"font-weight: 400;\">sovereign AI OS reference architecture<\/span><\/a><span style=\"font-weight: 400;\"> with NVIDIA, announced in March, which now runs on Dell infrastructure \u2014 for on-premises deployment of Palantir Ontology and AIP, integrated with the NVIDIA Sovereign AI OS Reference Architecture. <\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">In addition, <\/span><span style=\"font-weight: 400;\">ServiceNow<\/span><span style=\"font-weight: 400;\"> customers will be able to leverage the Dell AI Factory to bring together infrastructure and enterprise workflow automation, enabling organizations to discover, govern, and operationalize AI focused on business outcomes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dell also announced new solutions with a wide range of AI leaders and software innovators \u2014including Fogsphere, Ipsotek, Mistral AI, Poolside, and Uneeq \u2014 as well as security partnerships with CrowdStrike and Fortanix.<\/span><\/p>\n<h2><b>Agents From Deskside to Data Center<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The most personal news: Dell Deskside Agentic AI with the <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai\/nemoclaw\/\"><span style=\"font-weight: 400;\">NVIDIA NemoClaw<\/span><\/a><span style=\"font-weight: 400;\"> stack, <\/span><a  href=\"https:\/\/build.nvidia.com\/openshell\"><span style=\"font-weight: 400;\">NVIDIA OpenShell<\/span><\/a><span style=\"font-weight: 400;\"> runtime and <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/foundation-models\/nemotron\/\"><span style=\"font-weight: 400;\">NVIDIA Nemotron<\/span><\/a><span style=\"font-weight: 400;\"> open models run on Dell Pro Max with <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-spark\/\"><span style=\"font-weight: 400;\">GB10<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/dgx-station\/\"><span style=\"font-weight: 400;\">GB300<\/span><\/a><span style=\"font-weight: 400;\"> powered by the NVIDIA Grace Blackwell architecture, as well as Dell Pro Precision systems powered by <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/\"><span style=\"font-weight: 400;\">NVIDIA RTX PRO<\/span><\/a><span style=\"font-weight: 400;\"> Blackwell workstation platforms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The customization layer: NVIDIA Nemotron, NVIDIA Agent Toolkit, and NVIDIA NeMoClaw \u2014 the agent orchestration harness Huang described on stage as the connective layer between local models and enterprise data \u2014 provide the foundation for building enterprise autonomous agents, enabling organizations to customize models, orchestrate agent workflows, and securely connect agents to enterprise data and tools<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The security layer: NVIDIA OpenShell \u2014 an open source runtime for development and deployment of autonomous agents with security and privacy controls \u2014 enables corporate policy enforcement at the infrastructure layer and is integrated with leading enterprise software platforms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NVIDIA OpenShell is now supported across the entire Dell AI Factory with NVIDIA, giving developers a secure runtime to build, deploy and govern AI agents from workstations to servers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dell also highlighted support for the <\/span><a  href=\"https:\/\/build.nvidia.com\/nvidia\/aiq\"><span style=\"font-weight: 400;\">NVIDIA AI-Q Blueprint<\/span><\/a><span style=\"font-weight: 400;\">, giving enterprises a reference example to deploy multi-agent workflows for deep research \u2014 accelerating the path from development to pilot to production.<\/span><\/p>\n<h2><b>Day Two<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">On day two of Dell Technologies World, Dell&#8217;s Chief Operations Officer Jeff Clarke and Infrastructure Solutions Group President Arthur Lewis will go deeper on Vera CPU, Vera Rubin, Confidential Computing and Nemotron \u2014 with a live demo of Dell Deskside Agentic AI.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The themes Huang and Dell set Monday \u2014 safe, long-running agents, full-stack factories, secure on-premises deployment \u2014 set up the broader announcements NVIDIA will bring to <\/span><a  href=\"https:\/\/www.nvidia.com\/en-tw\/gtc\/taipei\/\"><span style=\"font-weight: 400;\">GTC Taipei at COMPUTEX<\/span><\/a><span style=\"font-weight: 400;\">, running June 1-4.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs \u2014 while enterprise data queries are up to 3x faster with the Vera CPU. And 5,000 enterprises like Lilly, Samsung, and Honeywell are running AI workloads on Dell AI Factories [\u2026]<\/p>\n","protected":false},"author":555,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[343],"tags":[13686,13704,13695,13681,13664,13710],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA CEO Jensen Huang at Dell Technologies World: \u201cDemand Is Going Parabolic, Utterly Parabolic\u201d - WebDomino.NET<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/webdomino.net\/index.php\/nvidia\/nvidia-ceo-jensen-huang-at-dell-technologies-world-demand-is-going-parabolic-utterly-parabolic-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA CEO Jensen Huang at Dell Technologies World: \u201cDemand Is Going Parabolic, Utterly Parabolic\u201d - WebDomino.NET\" \/>\n<meta property=\"og:description\" content=\"Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. 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Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs \u2014 while enterprise data queries are up to 3x faster with the Vera CPU. 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