NVIDIA details Cosmos Framework and NIM for world model deployment

NVIDIA said it is expanding Cosmos with software aimed at two practical problems in physical AI: adapting world models to a developer’s sensors, tasks and data, and deploying those models reliably in applications. In a developer blog published Nov. 2, 2026, NVIDIA described Cosmos Framework as an open, modular environment for world model training, model optimization and inference. The company said the framework provides agent skills and recipes for multimodal data processing, training, reinforcement learning, and deployment workflows. It also said Cosmos Framework is expanding beyond Cosmos 3 to support NVIDIA Alpamayo, GR00T, Qwen, pi0.5 and other compatible Hugging Face models. NVIDIA said the framework supports training on text, images, video, audio and actions, with LoRA for parameter-efficient adaptation or full supervised fine-tuning to update all model parameters.

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