AI factories for the era of AI reasoning.
Santa Clara, CA
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Ten years ago at NVIDIA GTC 2016, our CEO @JensenHuang introduced DGX-1, our first AI supercomputer.
Since then, NVIDIA DGX has transformed from a single system into a blueprint for AI factories. What hasn’t changed is the reason why we build DGX: to test the systems and work through the details of interconnects, cooling, and software so our partners and customers have a proven foundation to build on.
Charlie Boyle, our VP of DGX Systems, looks back at how DGX got its start, what’s changed, and what comes next.
Thanks to everyone who’s been on this journey with us. #DecadeOfDGX
Watch the full video: nvda.ws/4yQkRJW
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Join us at @CoreWeave #FullyConnected26 from September 29 - October 1 to hear from our experts on agentic to physical AI and the infrastructure behind it.
Tune into Ian Buck's feature in the Day 1 Keynote and sessions on extreme co-design, AI tokenomics, NVIDIA Vera, and more.
Register now: nvda.ws/4d7OI8p
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NVIDIA AI Infrastructure retweeted
Want to hear directly from @nvidia leaders? You can at #FullyConnected26.
They'll be on stage four times, from silicon selection to cost-per-task. Multiple chances to catch them, live.
🗓️ Sept 29 – Oct 1, 2026. Last chance to register: utm.io/usQGg
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Tomorrow’s AI factories begin with today’s semiconductor breakthroughs.
At #SEMICONWest, join us for semiconductor manufacturing and physical AI sessions where our experts and industry partners will explore how accelerated computing and AI are advancing chip design, smart manufacturing, robotics, and fab digital twins.
🗓️ October 14
🔗 Learn more and register now: nvda.ws/4xHmnNC
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AI compute can only scale as fast as the infrastructure around it.
On September 29, from 8–9 a.m. PT, join our SVP of Networking Gilad Shainer and @DellOroGroup's Sameh Boujelbene for a closer look at Scale-In, the fifth pillar of AI factory networking.
Discover how Scale-In provides secure access, tenant isolation, high-performance data movement, and storage connectivity for agentic AI factories.
Register now ➡️ nvda.ws/4AOSe1N
ALT Scale-In: Accelerated Networking for Agentic AI Factories
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Ten years ago at NVIDIA GTC 2016, our CEO @JensenHuang introduced DGX-1, our first AI supercomputer.
Since then, NVIDIA DGX has transformed from a single system into a blueprint for AI factories. What hasn’t changed is the reason why we build DGX: to test the systems and work through the details of interconnects, cooling, and software so our partners and customers have a proven foundation to build on.
Charlie Boyle, our VP of DGX Systems, looks back at how DGX got its start, what’s changed, and what comes next.
Thanks to everyone who’s been on this journey with us. #DecadeOfDGX
Watch the full video: nvda.ws/4yQkRJW
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Want to learn more about #NVIDIADGX?
Register for DGX sessions at #NVIDIAGTC Berlin: nvda.ws/3Vcfrui
See how customers have achieved AI breakthroughs with DGX: nvda.ws/3VeVOSk
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Thank you to our customers including @BMWGroup, @BNYglobal, @DeepLcom, @EliLillyandCo, @HonHai_Foxconn, Linköping University, @Meta, @MITREcorp, @OpenAI and @UF, who use #NVIDIADGX to solve their hardest challenges.
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NVIDIA Vera Rubin NVL72 runs agentic workloads at 30x higher throughput and 45x lowest token cost enabling AI factories to profitably serve agents at scale.
Read our blog highlighting the latest @SemiAnalysis AgentX results: nvda.ws/46IX7eR
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Learn more about the NVIDIA Vera Rubin NVL72 agentic inference performance nvda.ws/4iMvYis
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Grok 4.7 has landed. 🚀
Congrats to @SpaceXAI on its most capable model yet for coding and knowledge work.
Proud to support the team with NVIDIA accelerated computing.
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AI is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully.
And helping people benefit from AI means taking its challenges seriously.
The technology industry needs to do that work.
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We're heading to #NetAppINSIGHT 2026!
Join us to see how we're collaborating with @NetApp to enable enterprise AI factories with validated storage, governed data, and AI-ready context for agentic workflows.
Learn more and register: nvda.ws/46EQSIY
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Some of the world's largest biopharma companies are running NVIDIA-powered AI factories to transform drug discovery and healthcare.
✅ @bmsnews: Expanding its existing infrastructure with NVIDIA Vera Rubin for proprietary models, oncology research, and clinical imaging
✅ @EliLillyandCo: LillyPod, an #NVIDIADGX SuperPOD with Blackwell Ultra GPUs to support training protein diffusion and foundational models
✅ @Roche: 3,500+ NVIDIA Blackwell GPUs across a distributed hybrid-cloud deployment, with NVIDIA BioNeMo and Omniverse for AI-driven biology and digital-twin workflows
Read @RandDWorld's article to learn more. nvda.ws/47d60NP
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We're excited to bring agentic AI to @splunk on-premises customers for the first time, powered by the @Cisco Secure AI Factory with NVIDIA.
Just announced at #splunkconf26: Splunk is expanding to on-premises accelerated computing for the first time with @nvidia — creating a high-performance foundation for agentic AI workloads.
Learn about @Cisco AI POD for Splunk here: splk.it/4yzKb6N
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Enterprises should own their intelligence.
That means bringing AI to their sensitive data while protecting both business data and proprietary models.
NVIDIA’s @j_boitano and @VAST_Data Renen Hallak discuss how NVIDIA Confidential Computing makes this possible.
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Vertically Integrated, Horizontally Open | AI Factory Insider Ep 5 nitter.net/i/broadcasts/1qJDzWdnk…
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What makes an AI factory energy efficient?
NVIDIA DSX brings together power management, 45°C liquid cooling, and grid-aware operations.
Check out how our ecosystem partners @Delta_Americas, @digitalrealty, @HonHai_Foxconn, @nebiusai, and @nscale are helping every megawatt do more.
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More video generation, using the same compute.
@canva is using NVIDIA Blackwell to achieve 70% more video generations per GPU hour for its image-to-video experience. That efficiency helps support more creative output for Canva’s 265 million users, while preserving the speed and quality they expect.
Read the customer story: nvda.ws/4hDr0n0
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