NVIDIA Cosmos 3 将物理 AI 统一为一个 32B 全能模型
nvidia 发布了 cosmos 3，这是一个 320 亿参数的混合 transformer 模型，将世界生成、推理和策略任务统一到一个单一架构中。这使得开发人员能够构建用于机器人和自动驾驶的物理 ai 系统，理解物理学和因果关系，而无需管理多个独立模型。
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.