Post #1871

‌Hugging Face (Twitter) RT @drmapavone: We’ve just released @nvidia#DRIVE Alpamayo-R1 (AR1) — the world’s first industry-scale open #reasoning#VLA model for autonomous-vehicle (AV) research. AR1 integrates Chain-of-Causation reasoning with trajectory planning to improve decision-making in complex driving scenarios. Built on @nvidia#Cosmos#Reason, AR1 is designed as a customizable foundation for a broad range of AV applications — from instantiating an end-to-end backbone for autonomous driving to powering advanced, reasoning-based auto-labeling tools. Resources: Model: https://huggingface.co/nvidia/Alpamayo-R1-10B Inference Code: github.com/NVlabs/alpamayo Paper: https://research.nvidia.com/publication/2025-10_alpamayo-r1 Blog Post: https://blogs.nvidia.com/blog/neurips-open-source-digital-physical-ai/ A subset of the data used to train and evaluate AR1 is available in the @nvidia Physical AI Open Datasets: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles AR1 can be evaluated using AlpaSim (github.com/NVlabs/alpasim), @nvidia's newly released open-source AV simulation framework built specifically for research and development. (Separate post on AlpaSim coming soon.) This release completes @nvidia’s trifecta — model, data, and simulator — to accelerate research and development in the autonomous-vehicle domain. Happy developing, and stay tuned for more! Huge thanks to the phenomenal team that made this possible @NVIDIAAI@nvidia.