NVIDIA has released Cosmos 3 Edge, a 4-billion-parameter open world model designed to deliver data center-level performance on memory-constrained edge systems. The model enables robots and vision AI agents to understand their surroundings, reason in real time, and generate actions directly on devices such as NVIDIA Jetson modules.

  • Cosmos 3 Edge operates at robot-control resolution (640×360) and generates 32 actions per inference while achieving real-time control at 15 Hz on NVIDIA Jetson Thor.
  • It ranks #1 among similar size models on VANTAGE-Bench for vision analytics and sets the state of the art for robot policy learning.
  • The architecture combines an autoregressive tower for reasoning with a diffusion tower for prediction, sharing multimodal attention layers to align language, video, audio, and action tokens.
  • NVIDIA also released Cosmos 3 Edge Policy (DROID) post-trained on the DROID dataset for pick-and-place tasks, along with reference checkpoints and training scripts.

The release allows developers to deploy models closer to sensors on-device, using open frameworks to customize and specialize the model for specific physical AI applications.