At NVIDIA’s GTC in Washington, D.C., Jensen Huang laid out what you might call a roadmap for the U.S. to own the next era of artificial intelligence. Think of GTC as the Super Bowl of AI with developers, industry heavyweights and policymakers all watching to see what’s next in the World of AI.
On stage, Huang rolled out massive infrastructure plans - GPU deployments, partnerships with the U.S. Department of Energy, and a host of big bets in robotics, mobility and quantum-inspired workflows. He framed it as an ambitious industrial strategy.
One particular theme that Huang insisted on is the pivotal role of open-source AI in fueling this revolution. Drawing on a recent AI World analysis of the top hugging face contributors in terms of repositories in 2025, Huang spotlighted NVIDIA's position both a top contributor and a beneficiary of collective ingenuity that supercharges its hardware.
He argued that open-source AI lives at the intersection of compute infrastructure, model research, and application deployment. And indeed, better models demand bigger hardware, smarter chips unlock bold research, and fast deployment scales adoption for everyone.
NVIDIA is committed to open models, because science needs them, researchers need them, startups need them, and companies need them too. He then unveiled a crop of open-source new releases: with Nemotron (Agentic AI), Cosmos (Physical AI), GROOT (Robotics) and Clara for instance (Biomedical AI).
NVIDIA is a clear leader of the global AI ecosystem across multiple dimensions. Now the question for the rest of the AI world is: who else is going to join the ride?