Nvidia Unveils Cosmos 3, an Open AI World Model for Robots and Autonomous Vehicles
Nvidia released Cosmos 3, an open-source AI world model trained on 20 trillion tokens of multimodal data designed to help robots and autonomous vehicles understand and predict real-world environments. The model is unique in generating action data—such as robot movements and trajectories—rather than just visual predictions, enabling machines to simulate and learn physical tasks. Nvidia is positioning this as foundational infrastructure for the emerging physical AI sector, competing with startups like World Labs and AMI Labs.
Nvidia unveiled Cosmos 3, an open AI world model designed to help robots, autonomous vehicles, and other physical systems better understand and predict real-world environments. The model was trained on 20 trillion tokens of multimodal data, including nearly a billion images, 400 million real and synthetic videos, ambient audio, text, and crucially, action data from humans and robots. Unlike standard video generators, Cosmos 3 is engineered to model how machines move and act in physical spaces, generating specific outputs like robot joint angles, gripper positions, and trajectories. Nvidia is releasing two versions immediately—a high-accuracy "super" model for robots and autonomous vehicles, and a fast "nano" model—with an "edge" model for local deployment coming soon. The company is establishing a coalition of partners including Agile Robots, Black Forest Labs, and Runway, positioning Cosmos as an open platform that hardware makers can customize for their needs.
What different sources said
- AxiosCenter
Nvidia's new world model helps robots navigate the world
- arXiv cs.AICenter
Cosmos 3: Omnimodal World Models for Physical AI
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