NVIDIA launches Cosmos 3, the first fully open omnimodel for physical AI

Announced at NVIDIA GTC Taipei, Cosmos 3 is a leaderboard-topping open physical-AI foundation model built on what NVIDIA calls a breakthrough mixture-of-transformers architecture. It unifies physical-AI reasoning, world simulation, and action generation, and is described as the first fully open omnimodel with native vision reasoning and multimodal generation across text, image, video, ambient sound, and action — aimed at synthetic-data generation and physical-AI policy development for robots and autonomous vehicles. "The big bang of physical AI is just around the corner," said CEO Jensen Huang.

NVIDIA released two sizes — Cosmos 3 Super (64B parameters) and Cosmos 3 Nano (16B) — optimized for different deployment scenarios, plus associated synthetic-data datasets, all available on Hugging Face. The company says the model can reduce physical-AI training and evaluation cycles from months to days by generating physically accurate synthetic worlds. It also launched the NVIDIA Cosmos Coalition with labs and robotics leaders including Agile Robots, Black Forest Labs, Generalist, LTX, Runway, and Skild AI.

The "fully open" framing is strategically pointed: Hugging Face CEO Clément Delangue praised NVIDIA as the "King of American Open-source AI," noting it crossed 1,000 public repositories (820 models) and nearly 60,000 followers on the platform. Open weights position Cosmos 3 against OpenAI's newly revived robotics effort and the broader physical-AI land grab.

Cosmos 3 anchors NVIDIA's vertical physical-AI stack alongside JetPack 7.2 for edge deployment and its data-center accelerators. The bet is that owning the world-model layer — the simulated environments robots learn in — is as valuable as owning the chips. Watch adoption by the Coalition partners and how Cosmos 3's physics accuracy holds up against real-world robot deployments.