NVIDIA Cosmos 3 tops benchmarks as open physical AI models go mainstream

NVIDIA is putting real weight behind its call for open standards in artificial intelligence, and its newest move shows how far that push now reaches into robotics, self-driving cars and machine vision. In July, the chipmaker joined more than 200 companies and organizations in signing an open letter titled “Open Weights and American AI Leadership,” arguing that AI leadership should be judged by how widely open systems spread across every sector, not by a single flagship model. Building on that commitment, NVIDIA has now introduced Cosmos 3, a new family of open physical AI models designed to help machines understand and predict what happens in the real world, not just describe what a camera sees.
Key takeaways
- NVIDIA joined more than 200 companies and organizations behind an open letter pushing open AI ecosystems forward.
- NVIDIA Cosmos 3 is a new open physical AI foundation model built on a mixture-of-transformers architecture.
- The Cosmos 3 family spans three sizes: Super (64B), Nano (16B) and Edge (4B), each aimed at different deployment needs.
- Cosmos 3 ranks No. 1 on multiple independent benchmarks, including Artificial Analysis, PAIBench, Physics-IQ, RoboLab and VANTAGE-Bench.
- Companies in robotics, autonomous vehicles and vision AI, along with the expanding NVIDIA Cosmos Coalition, are already building on the model family.
NVIDIA Joins the Push for Open Physical AI Ecosystems
Open access to model weights is what lets developers actually build on top of foundation models instead of just renting access to them. NVIDIA’s decision to co-sign the “Open Weights and American AI Leadership” letter reflects a broader argument gaining traction across the industry: that ciò che consente a chiunque di scaricare, esaminare, personalizzare ed eseguire modelli aperti sulla propria infrastruttura è widespread AI adoption possible in the first place.
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