# NVIDIA/cosmos

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

Repository: https://github.com/NVIDIA/cosmos
Canonical: https://ross.abutalabs.com/products/nvidia-cosmos
Homepage: https://www.nvidia.com/en-us/ai/cosmos/
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2026-08-25T12:46:29+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 54, longevity 43
- inputs: {"age_days": 611, "days_push": 8, "days_rel": 93, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11641, forks 845 (observed 2026-08-28T04:10:49.263864+00:00)

## What it is
NVIDIA Cosmos is an open platform of omnimodal world foundation models, datasets, and tools for building Physical AI systems such as robots, autonomous vehicles, and smart infrastructure. Cosmos 3 unifies language, image, video, audio, and action generation in a Mixture-of-Transformers architecture, with integrations for Diffusers, vLLM, TensorRT-LLM, SGLang, and NIM.

## Use cases
- generate physics-grounded video for robot training
- build world action models for robot policy learning
- reason over camera feeds for traffic monitoring and quality inspection
- simulate worlds to evaluate autonomous vehicle behavior
- finetune a world foundation model on custom embodiment data
- distill and export model checkpoints for deployment
- run vision-language reasoning on real-world scenarios

## When to choose
- you need world foundation models for robotics or autonomous vehicle development
- you want to post-train a generalist model on your own camera and embodiment data
- you need controllable, physics-grounded video generation or world simulation
- you want vision-language reasoning for real-time video analytics

## When to avoid
- you need a lightweight model that runs on CPU or consumer hardware without GPUs
- you want a general-purpose chatbot rather than physical-world AI
- your project requires a permissive license without NVIDIA's custom terms
- you only need simple image classification or standard NLP tasks

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, deep-learning, llm-inference, llm-training, video-processing, simulation, data-science
- domain: artificial-intelligence, machine-learning, deep-learning, large-language-models, robotics, autonomous-vehicles, simulation, computer-vision
- platform: python, cloud
- tags: world-models, physical-ai, foundation-models, omnimodal, robotics-simulation, autonomous-driving, diffusion-transformers, nvidia, mixture-of-transformers, video-generation, video, gpu, linux, docker

## Member repositories
- NVIDIA/cosmos (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:49.263864+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:15:26.051638+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/cosmos (fetched 2026-08-28T04:10:49.263864+00:00, sha 1f0e86f339ad)
  - homepage: https://www.nvidia.com/en-us/ai/cosmos/ (fetched 2026-08-29T08:13:53.048422+00:00, sha 0307eb8d9e03)
  - site_page: https://docs.nvidia.com/ (fetched 2026-08-29T08:13:53.126560+00:00, sha 72e33abad2b5)
  - site_page: https://www.nvidia.com/en-us/about-nvidia (fetched 2026-08-29T08:13:53.137976+00:00, sha 33e0c25ebeb0)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/careers (fetched 2026-08-29T08:13:53.140181+00:00, sha 1c3b99bfdf98)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-policy (fetched 2026-08-29T08:13:53.142163+00:00, sha 5362c58d0750)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-center (fetched 2026-08-29T08:13:53.144754+00:00, sha b098377da9cc)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/terms-of-service (fetched 2026-08-29T08:13:53.146510+00:00, sha 85469b6ff0a1)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/accessibility (fetched 2026-08-29T08:13:53.148870+00:00, sha 8f61ce4143ec)
  - site_page: https://nvidianews.nvidia.com/news?q=cosmos (fetched 2026-08-29T08:13:53.108980+00:00, sha 22e83ea22811)
- Data as of 2026-08-30T08:39:29.467469+00:00.