NVIDIA Cosmos 3、物理AIを単一の32Bオムニモデルに統合
NVIDIAがCosmos 3をリリース。32Bパラメータのmixture-of-transformersモデルで、ワールド生成、推論、ポリシータスクを単一アーキテクチャに統合する。これにより開発者は、別々のモデルを管理することなく、物理と因果関係を理解するロボティクス・自動運転向けの物理AIシステムを構築できる。
nvidia introduced cosmos 3, the first open omni-model foundation for physical ai, shifting from separate models for prediction, transfer, and policy to a single architecture built on a mixture-of-transformers backbone. by processing text, image, video, audio, and action inputs within shared parameter sets that handle both autoregressive reasoning and diffusion generation, the model can simulate physical worlds, predict outcomes, and generate robot policies simultaneously. available in 8b and 32b parameter sizes on hugging face, the model is optimized for generating synthetic data for robotics and autonomous vehicles. this release significantly reduces the complexity of training physical ai systems, enabling developers to deploy physically accurate simulations on hardware ranging from rtx pro 6000 gpus to nvidia hopper and blackwell clusters.