NVIDIA Alpamayo 2 Super, the Frontier Open Model for Robotaxis and Autonomous Vehicles, Now Available for Commercial Use
内容摘要
NVIDIA Alpamayo 2 Super, available now for commercial use, is part of the Alpamayo family, the most-adopted open reasoning models for autonomous driving on Hugging Face, supporting a wide range of AV-relevant capabilities within a single foundation model. Built on NVIDIA Cosmos 3 Super Reasoner and post-trained with reinforcement learning, the model advances the AV ecosystem on two fronts: open commercial licensing and leading multitask capabilities for autonomous driving. Alpamayo 2 Super is part of NVIDIA's growing collection of open models, datasets and tools for autonomous driving, expanding access, strengthening competition, giving developers greater control and supporting safer, more transparent AV deployment. Alpamayo 2 Super is available on Hugging Face under OpenMDW-1.1, the Linux Foundation's permissive license for open AI model distributions. The license covers fine-tuning, derivative models and commercial redistribution, allowing AV developers, automakers, truckmakers and suppliers to adapt Alpamayo to their own data, driving policies and deployment strategies. This openness lets AV researchers and companies keep control of their own data and infrastructure, as well as own the value they create through specialized models. Alpamayo 2 Super ranks first on LingoQA, an autonomous driving reasoning benchmark, among nearly 40 models evaluated. In NVIDIA testing, it outperformed Qwen2.5-VL 72B by 17.0 points, Gemini 2.5 Pro by 15.1 points and GPT-4o by 23.2 points, demonstrating state-of-the-art reasoning for driving-centric scenarios. Alpamayo 2 Super offers 3x the scale of the 10-billion-parameter NVIDIA Alpamayo 1.5 and Alpamayo 1 models. The model reasons over full-surround camera coverage, fusing views from the vehicle's front, sides and rear. For each driving situation, Alpamayo 2 Super can produce five tightly coupled outputs: a trajectory describing the vehicle's planned path, a chain-of-causation (CoC) trace explaining the reasoning behind the decision, a meta-action capturing the model's intent, reasoning auto-labels that generate CoC annotations for training and validation data, and visual question answering responses with 2D visual grounding. Alpamayo has already surpassed 500,000 downloads on Hugging Face.
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