Watch Jensen Huang unveil the latest breakthroughs in AI and accelerated computing, and more in the #NVIDIAGTC 2026 keynote. Now live
@nvidiaai
-
Securing Long-Running Self-Evolving AI Agents: Infrastructure Panel
By
–
How do you secure long-running self evolving agents?
— NVIDIA AI (@NVIDIAAI) 14 mars 2026
Join our panel at #NVIDIAGTC featuring @CrowdStrike, @ServiceNow, and other industry leaders to learn about the infrastructure required to govern self-evolving AI agents like @OpenClaw.
📅 Monday, March 16 | 3:00 PM – 4:00… pic.twitter.com/evhPvV2faMHow do you secure long-running self evolving agents? Join our panel at #NVIDIAGTC featuring @CrowdStrike
, @ServiceNow
, and other industry leaders to learn about the infrastructure required to govern self-evolving AI agents like @OpenClaw
. Monday, March 16 | 3:00 PM – 4:00 -
Agentic AI Inflection Point: Autonomous Systems and Complex Workflows
By
–
Chapter 4: The Agentic AI Inflection Point Explore the rise of autonomous systems that reason, use tools, and execute complex workflows. Featuring:
Harrison Chase, @LangChain Sam Rodriques, @EdisonSci Peter Steinberger, @OpenClaw Vincent Weisser, @PrimeIntellect -
Open Models Power AI Ecosystem Innovation and Startups
By
–
Chapter 3: Open Models Power the Ecosystem Learn how open models are fueling innovation and AI-native startups. Featuring:
Aidan Gomez, @cohere Arthur Mensch, @MistralAI Robin Rombach, @bfl_ml Aravind Srinivas, @perplexity_ai -
Accelerated Computing’s Moment: Enterprise Simulation and Analytics
By
–
Chapter 1: Accelerated Computing’s Moment Has Arrived Industry leaders discuss how simulation, digital twins, and large-scale analytics are expanding what’s possible for the enterprise. Featuring:
Anirudh Devgan, @Cadence Mark Edelstone, @MorganStanley Aki Jain, -
NVIDIA GTC 2026 Keynote Explores the Future of AI
By
–
Come pregame the NVIDIA GTC 2026 keynote with GTC Live—a front-row seat to what's next in AI. Here are the chapters unpacking the future of AI:
-
Frontier Models and Router Systems for AI Optimization
By
–
The most effective AI systems don't rely on a single model. Frontier models provide state-of-the-art performance for complex tasks, while routers automatically select lightweight, open-source models for simpler jobs to optimize accuracy, latency, and cost. Learn more:
-
American Company Commits to Global AI Ecosystem Development
By
–
“We're an American company, but we work with companies across the world,” @ctnzr says. “It's in our interest to make the ecosystem diverse and strong everywhere.” Read more on how we are committed to helping the AI ecosystem develop through our open source models.
-
NVIDIA Vera Rubin deployment reaches 1 gigawatt capacity
By
–
We’re thrilled to partner with @thinkymachines to deploy at least 1 gigawatt of NVIDIA Vera Rubin systems for frontier AI model training.
-
NVIDIA CEO Jensen Huang on AI’s Five-Layer Stack Rebuild
By
–
The AI era is a full-stack rebuild, from power to models to real-world applications. Here’s NVIDIA CEO Jensen Huang on the five-layer AI cake driving the shift.