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NVIDIA Cosmos

NVIDIA's open platform for Physical AI: World Foundation Models (Cosmos Predict, Transfer, Reason, Cosmos 3) plus pretraining, post-training and evaluation frameworks.

Producer:NVIDIAManaged Cloud · On-Premises · Edge · HybridReleased:Jan 6, 2025
NVIDIA Cosmos
Supported models
4SLM/LLM
SDK / Languages
1python
Robotics-Ready
✓

Description

NVIDIA Cosmos is a platform developed by NVIDIA for Physical AI — robotics, autonomous vehicles and industrial vision systems. Cosmos combines a library of open World Foundation Models (WFM) with frameworks for data processing, training, post-training and evaluation.

Main components

Cosmos family models: Cosmos Predict (generating future world states from text, image and video), Cosmos Transfer (controllable sim-to-real translation, for example from NVIDIA Omniverse to photorealistic synthetic data), Cosmos Reason (a vision-language model for reasoning over a scene and intent) and Cosmos 3 (a Mixture-of-Transformers omni-model announced at COMPUTEX 2026 that merges perception, reasoning and generation).

Developer tools

Cosmos Curator — filtering, annotation and deduplication of large sensor datasets. Cosmos Tokenizer1 — a video tokenizer for compression and decoding in latent space. Cosmos Evaluator — review and scoring of generative video outputs. Post-training and evaluation frameworks and inference scripts are released in the NVIDIA/Cosmos repository. The Cosmos Cookbook ships ready recipes for robotics, AV and industrial vision.

Distribution

Weights and reference code are available on Hugging Face (NVIDIA Cosmos1/2/2.5/3 collections and Cosmos-Predict, Cosmos-Transfer, Cosmos-Reason) and on GitHub (NVIDIA/Cosmos). Models can also be run through NVIDIA NIM and from the build.nvidia.com catalogue. Earlier releases were under the NVIDIA Open Model License; Cosmos 3 is released under the OpenMDW 1.1 license from the Linux Foundation.

Hardware and ecosystem

Cosmos is optimised for NVIDIA GPUs: recommended server platforms with RTX PRO 6000 Blackwell, GB200 Grace Blackwell and Hopper (H100). Together with NVIDIA Omniverse (a 3D simulation environment) it forms a consistent pipeline: Omniverse generates simulated scenes, Cosmos turns them into photorealistic synthetic data and world models used for post-training of robot and vehicle policies. Customers cited by NVIDIA include 1X Technologies, Agility Robotics, Figure AI, Neura Robotics, Toyota Research Institute, General Motors, Uber, Li Auto, Foretellix, Parallel Domain and others.

Developer EcosystemDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.

SDK Languages
PyPython
API Type
REST
Community & resources
Templates library
Quickstarts
API Reference
Tutorials

Supported AI Models

4

Robotics & Humanoids ExtensionRobotics & Humanoids ExtensionSimulation engines (Isaac Sim, Gazebo, MuJoCo), communication protocols (ROS2, MQTT, Zenoh), robotics standards (URDF, OpenUSD) and edge orchestration.

Robotics-Ready
Robotics standards
  • URDF Support
  • OpenUSD Interoperability
  • Sim-to-Real Pipelines
Edge Orchestration
  • OTA updates (over-the-air)
  • Real-time kernel support

SourcesDocumentation VaultCentralized hub of links to official sources, technical guides, repositories and release notes.

Data verified: Jun 8, 2026