More than a thousand MGX racks ship per week. 350 factory sites. 30 countries. 300 partners. The NVIDIA MGX ecosystem is built to scale the age of AI agents. NVIDIA Vera Rubin NVL72 delivers 30x more tokens per watt and per dollar. One giant GPU operating at 3.6 exaFLOPS. Productive. Durable. Fungible.

More power for AI starts with a connected digital twin. 🏭 @AVEVAGroup, part of @SchneiderElec, is bringing its industrial engineering software to AI factories with NVIDIA Omniverse and NVIDIA DSX Sim, helping teams: ✔️ Identify opportunities to free power for AI compute. ✔️ Test equipment changes before deployment and cut model setup from days to hours. ✔️ Evaluate cooling, power, and process scenarios in one digital twin. Learn more 👉

You can’t run an AI factory on keynote slides. It needs power. Cooling. Construction. And capacity someone can actually deliver. At GTC Berlin 2026, I sat down with NVIDIA’s @Dion2730 on how @nvidia is tackling the bottlenecks behind the AI boom: Groq LPX, agent guardrails, DSX POD and capacity allocation. Full interview below. 👇 Chapters 00:00 Opening highlights 00:44 Dion Harris at GTC Berlin 01:29 Groq LPX and the inference roadmap 03:13 Premium inference: latency versus throughput 04:35 Vera, OpenShell and BlueField agent security 07:49 DSX and Dynamo: the AI factory stack 10:33 DSX POD, deployment and physical bottlenecks 14:56 Closed-loop cooling and water use 17:04 Power constraints and grid coordination 20:18 Annual hardware cadence and allocation 22:18 Planning the factory and its supply chain 24:36 Throughput, capacity and competing systems 26:09 What comes next for agentic AI 28:21 Closing thoughts

2 weeks until #KubeCon# + #CloudNativeCon# NA 2026! Our speakers are bringing lessons learned on running AI at scale on Kubernetes: GPU utilization, networking, multi-cluster, and data streaming. Be sure to come by Booth #170#. 🔗 Learn more:

NVIDIA Mission Control 2.5 is now available! Mission Control 2.5 extends the autonomous recovery engine beyond Slurm to Kubernetes-based workloads managed with NVIDIA Run:ai. Learn how Mission Control helps AI factories automate operations for maximized developer productivity and token output:

How can frontier AI agents help turn site plans into an AI factory digital twin? Our #NVIDIAGTC# Berlin technical blog shows how frontier AI agents can help teams build AI factory digital twins with NVIDIA DSX Sim: ✔️ Combine reference assets and site data into an editable OpenUSD campus model. ✔️ Prepare assets for engineering analysis with SimReady requirements. ✔️ Identify the power and cooling studies needed to evaluate design changes. Explore the workflow ➡️

The semiconductor industry behind AI’s breakthroughs is now bringing that intelligence into how chips are designed and produced. See how NVIDIA accelerated computing and AI help the industry move from chip design to quality inspection, using insights from the fab floor to improve models and optimize operations. Watch the full demo:

Quantum computers have a noise problem, and some of the world’s most powerful supercomputers are helping us tackle it. Our researchers used 8,192 NVIDIA Grace Hopper Superchips at @fzj_jsc to test a leading fault-tolerance approach at record scale, so designers can refine quantum hardware before it’s built. Learn more:

NVIDIA and @Meta will expand our partnership on @Muse models to improve inference and training performance. Together, we’re exploring NVIDIA OpenShell for safe AI agent deployment and NVIDIA Sentry for monitoring agent behavior. Meta plans broader deployments of NVIDIA Vera Rubin and Vera CPUs. Read the press release:

1 trillion tokens. In just 12 days. That's how fast @HonHai_Foxconn trains its FoxBrain models on their AI factory, powered by #NVIDIADGX# SuperPOD, NVIDIA-Certified systems, and NVIDIA RTX PRO Servers. ✅ 2.48x faster training on 120B models vs. legacy ✅ 25% fewer production scheduling hours ✅ AI workloads orchestrated across 200+ facilities See how Foxconn is industrializing intelligence at scale:

Europe has spent generations mastering science, engineering, and manufacturing. That knowledge and expertise can now power AI of its own. “Let’s work together to build Europe’s AI economy and put AI to work.” — @JensenHuang at GTC Berlin

I was the opening act for a family of ducks. Thank you, Berlin. What a GTC. Europe is building its AI ecosystem and economy, from AI factories to agents to robots. DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence. Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do.  NVIDIA OpenShell enhances safety. Physical AI: new customers across AI-RAN, robotaxis and robotics. Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC. Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome. And to our partners and NVIDIA teams: thank you for making it happen. The keynote is here:

Keeping an AI factory running at full capacity starts with spotting issues before they cause a job to fail. NVIDIA Minerva brings together signals from across the stack to give operations teams fewer alerts, faster answers, and more productive GPU hours. Explore how it works in our technical deep dive:

Zooming out, GPUs are still renting ahead of a standard 6-year depreciation schedule Rental price vs. schedule: - H200: +143% - B200: +111% - RTX PRO 6000: +73% - H100: +54% - A100: +9% Most of the gap opened up after April, when token demand took off Charts of the Week:

HPC just got hands-on at #SC26#. Join us Monday, Nov. 16 for a hands-on Build-a-Claw featuring demos, experts, and more followed by a Special Address from NVIDIA’s @ia_buck covering the latest breakthroughs in #HPC#. 🦞Build-a-Claw: 1–3:30 pm CT 🎙️Special Address with Ian Buck: 4–5 pm CT Spots are limited. Register now →

Good data showing that NVIDIA AI infrastructure is a durable, investable asset that retains value. New applications and workloads keep landing on our fungible platform, increasing demand because of its productivity. Chart by @a16z

AI builders need computing capacity they can put to work sooner. We introduced DSX POD at NVIDIA GTC Berlin: AI factories integrated and tested before delivery, enabling deployment at prepared sites in as little as 14 days.