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Reviewed and published by trentmaziarz, April 21, 2026. Discovered and drafted by our automated research pipeline.

NVIDIA deployed Cosmos, an open-source platform of world foundation models that generates physics-based synthetic video data to help robotics companies and autonomous vehicle developers train their AI systems without needing as much real-world data collection. Cosmos launched at CES in January 2025 and was adopted by companies including Agility Robotics, Figure AI, Uber, and Waabi.

Details

Cosmos world foundation models are neural networks that accept text, image, video, or sensor data as input and generate photoreal, physics-aware synthetic videos of environments such as warehouses, factories, and road scenes. This synthetic data is used to train and evaluate AI models for robots and autonomous vehicles. Cosmos includes diffusion and autoregressive transformer models (ranging from 4 to 14 billion parameters), advanced video tokenizers, guardrails, and tools for fine-tuning on proprietary data. A major update in March 2025 added Cosmos Reason, a chain-of-thought reasoning model for understanding video data and predicting physical interactions.

Products affected

NVIDIA CosmosNVIDIA OmniverseNVIDIA DGX Cloud

Sources & Evidence

Cite this record

Trace Foundation. (2026). NVIDIA: NVIDIA deployed Cosmos, an open-source platform of world foundation models that generates physics-based synthetic video data to help robotics companies and autonomous vehicle developers train their AI systems without needing as much real-world data collection. Cosmos launched at CES in January 2025 and was adopted by companies including Agility Robotics, Figure AI, Uber, and Waabi (data as of 2026-04-21) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/7cf19537-2877-47f8-9927-69cb2d4ac145. Accessed September 7, 2026.

Stable link
https://www.aitrace.org/r/practice/7cf19537-2877-47f8-9927-69cb2d4ac145
Data as of
April 21, 2026
Last verified
April 21, 2026

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