NVIDIA Physical AI Community

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

Join our hosts and industry leaders as they break down the AI advances shaping the year ahead. Explore real use cases, their real impact, and the transformative technologies driving them.

Join us on Discord as we stream the GTC San Jose 2026 Keynote live and experience the biggest announcements together!

📅 Date: Monday, March 16
⏰ Time: 11:00 AM ​PT
📍 Location: Discord – #Community Channel

What’s happening:
🎥 Live keynote stream
💬 Real-time chat & reactions
🔥 Hot takes and predictions

Whether you're here for AI breakthroughs, GPUs, robotics, or surprise announcements, this is your spot to watch and react with the community in real time.

Set your reminder, grab a snack, and join the voice/text channel when we go live!

See you there 👾

Accelerated computing and AI supercomputing are redefining industrial engineering, spanning computational engineering (CAE) to semiconductor design and manufacturing. Together, these fields drive how the world conceives, simulates, and builds everything from advanced machinery to next-generation chips increasingly in the digital world before physical production begins. In this address, NVIDIA’s Tim Costa, general manager for Industrial and Computational Engineering, will show how CUDA-accelerated platforms, AI physics, DGX and cloud-scale AI infrastructure, and NVIDIA Omniverse are reshaping workflows across computer-aided engineering and semiconductor design and manufacturing. He will demonstrate how customers use GPU-accelerated solvers, AI physics models, and agentic AI to cut turnaround, broaden design exploration, and boost yield and reliability, revealing a unified accelerated-computing blueprint spanning classical, AI, and emerging quantum acceleration.

Presented by: Timothy Costa | General Manager (GM) for Industrial and Computational Engineering | NVIDIA

How to watch: You must be registered for free GTC Virtual. The link is available in the session catalog—search by session title or session number.

Humanoid robots are evolving from prototypes to production-ready systems, powered by breakthroughs in reasoning AI, large-scale simulation, and real-time edge computing. But to get there, the industry must bridge the gap between digital intelligence and physical reality. Hear from luminaries at the world’s leading robotics companies on the future of physical AI, and what it will take to unlock truly capable humanoids.

Key Takeaways:

• How leading teams are training and deploying humanoid robots today, from data collection and simulation to real-world rollout
• What technical stack is emerging for physical AI—covering foundation models, world models, and control systems—and how it generalizes across different robot platforms
• Where the most promising real-world use cases, business opportunities, and open research problems lie for humanoids over the next three to five years

Presented by: 

• Amit Goel | Head of Robotics and Edge Computing Ecosystem | NVIDIA
• Ashok Elluswamy | VP, AI Software | Tesla
• Arnaud Robert | CEO | Hexagon Robotics
• Pras Velagapudi | CTO | Agility
• Deepak Pathak | CEO and Co-Founder | Skild AI
• Chelsea Finn | Assistant Professor at Stanford University | Co-Founder at Physical Intelligence

How to watch: You must be registered for free GTC Virtual. The link is available in the session catalog—search by session title or session number.

Imagine that you could generate the world’s most in-depth dataset for sports using the same video you see on your TV screen. In this presentation we’ll show you how we combine computer vision and our own proprietary multimodal foundation model that takes away the need for in-venue hardware and processing and scales infinitely across the game of soccer and beyond; uncovering and explaining the language of sport. We’ll show how GPU acceleration allows us to model entire matches as unified multi-agent sequences, and how this foundation model powers the next generation of soccer intelligence - from tactical reconstruction to semantic embeddings - within the Opta OS ecosystem. The session will detail the model design, engineering challenges, and key breakthroughs.

Presented by: Patrick Lucey | Chief Scientist | Stats Perform

How to watch: You must be registered for free GTC Virtual. The link is available in the session catalog—search by session title or session number.

The next generation of visual AI agents starts with NVIDIA Blueprint for video search and summarization (VSS), which enables the creation of interactive analytical agents that reason through massive amounts of video, assess physical processes, and provide decision-making insights to streamline operations. The blueprint combines powerful vision language models (VLMs), advanced search capabilities with large language models, and Cosmos Reason VLM into a full suite of software for building, We've made it easier to customize and deploy at the edge, on-premises, or in the cloud. Be the first to hear about the new features of VSS to accelerate your AI agent development.

Presented by: 

• Roopa Prabhu | Sr. Director of Engineering | NVIDIA
• Adam Ryason | Product Manager, NVIDIA AI Blueprint for Video Search and Summarization (VSS) | NVIDIA

How to watch: You must be registered for free GTC Virtual. The link is available in the session catalog—search by session title or session number.

Uber and NVIDIA are joining forces to accelerate the next generation of Level 4 robotaxi and autonomous delivery fleets, built on NVIDIA’s end‑to‑end AI architecture. This fireside chat will unpack Uber’s long‑term vision for deeply integrating robotaxis into its global marketplace to deliver safer, more reliable, and more sustainable urban mobility.

Presented by:

• Ali Kani | VP of Automotive | NVIDIA
• Sarfraz Maredia | Global Head, Autonomous Mobility and Delivery | Uber

How to watch: You must be registered for free GTC Virtual. The link is available in the session catalog—search by session title or session number.