IBL News | New York
NVIDIA, this month, made available for commercial use its latest open reasoning model for autonomous vehicles (AVs), Alpamayo 2 Super, as part of the Alpamayo family.
The NVIDIA thesis is that the hardest problems for robotaxis and AVs go beyond object detection and motion prediction; they are the rare, complex situations that are difficult to anticipate and train for. These cars must understand the situation, reason about cause and effect, choose the right action, and turn that decision into a safe, comfortable path — all in real time and in a way developers can inspect, validate, and trust.
Alpamayo 2 Super is built on NVIDIA Cosmos 3 Super Reasoner and post‑trained with reinforcement learning,
It is available on Hugging Face under OpenMDW‑1.1, the Linux Foundation’s permissive license for open AI model distributions.
To date, Alpamayo has surpassed 500,000 downloads on Hugging Face, becoming the most-adopted open reasoning model family for autonomous driving.
The existing 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 and accumulated know‑how. Such control is essential for workflows involving proprietary fleets and safety,” said NVIDIA in a blog post.
Alpamayo 2 Super reasons over full‑surround camera coverage, fusing views from the vehicle’s front, sides, and rear. According to the chip giant, this 360‑degree context enables a richer understanding of lane changes, merges, unprotected turns, and complex intersections, where risks commonly arise.