Glossary · Platforms
NVIDIA Cosmos
In brief
NVIDIA Cosmos is a foundation-model platform for world models — neural networks trained to simulate physical scenes for robotics. Robotics teams use Cosmos to generate synthetic training data, predict environment dynamics, and pretrain perception components.
Cosmos is the world-model component of NVIDIA's broader robotics stack. It complements GR00T by handling the "what does the world look like" side: synthetic data generation, photoreal scene rendering, and physics-aware video prediction. Robotics teams can train perception and control on Cosmos-generated data and skip a meaningful chunk of real-world data collection.
For humanoid programs, Cosmos is most useful in the sim-to-real loop: realistic synthetic environments at scale, less domain gap than legacy simulators.
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