Open Source

NVIDIA's Cosmos 3 Omnimodal models generate video, audio, and actions from any input

NVIDIA's Cosmos 3 Omnimodal models generate video, audio, and actions from any input

⚡World models that combine text, images, video, and actions for Physical AI at 16B and 64B scales.

Deep Dive

NVIDIA has released Cosmos 3, a suite of omnimodal world models now available on Hugging Face. The collection includes two model sizes—Nano at 16 billion parameters and Super at 64 billion—each capable of generating high-quality video, images, audio, and action commands from mixed inputs like text, images, video clips, and action trajectories. This marks a significant leap in multimodal AI, as Cosmos 3 can accept any combination of input modalities and output coherent dynamic content across multiple formats, mimicking a unified world model for both perception and action prediction.

The primary application of Cosmos 3 is in Physical AI, where it can drive world understanding, simulation, and embodied policy learning. By generating realistic, dynamic worlds from sparse or partial inputs, the models could power next-generation robotics training, autonomous vehicle simulation, and interactive 3D environments. Early community discussion on X (formerly Twitter) hints at potential use in reinforcement learning and agent-based tasks. With these models, NVIDIA continues to push toward a future where AI not only sees and hears but also moves and interacts in simulated physical spaces.

Key Points
  • Available in two sizes: Nano (16B parameters) and Super (64B parameters) via Hugging Face.
  • Accepts text, image, video, and action trajectory inputs to generate dynamic video, image, audio, and action outputs.
  • Designed for Physical AI applications: world understanding, simulation, and embodied policy learning.

Why It Matters

Powers next-gen robotics and simulation by generating coherent multimodal worlds from any input combination.

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