NVIDIA releases Cosmos 3 Nano simulation recipes and checkpoints

NVIDIA has released new Cosmos 3 Nano simulation recipes and example checkpoints, along with an expanded Cosmos Framework for training, optimizing, and running world models for physical AI. The framework now covers models including Cosmos 3, Alpamayo, GR00T, Qwen, and pi0.5, and offers agent skills and recipes for autonomous-vehicle, robotics, and surgical simulation. The released checkpoints generate synchronized camera video and LiDAR observations and support PyTorch and vLLM-Omni on Hopper and Blackwell GPUs. NVIDIA also describes Cosmos NIM microservices for accelerated inference, with configuration guidance for GPU memory and deployment. The tools are aimed at physical AI developers who need to adapt world models to their own sensors, tasks, and data.