NVIDIA Releases Alpamayo 2 Edge Weights for Autonomous Driving

What happened

NVIDIA released the Alpamayo 2 Edge model weights on Hugging Face on November 10, 2026, making a 2-billion-parameter model available to autonomous-driving developers working within onboard compute and latency (the delay between asking for something and getting it) limits. The release contains deployment recipes and evaluation tools for producing and scrutinizing driving trajectories and their explanations. NVIDIA is a semiconductor company based in Santa Clara.

NVIDIA first announced Alpamayo 2 Edge in its October 21, 2026, Hyperion announcement , describing a model optimized for DRIVE AGX Thor and designed for 10 Hz in-vehicle operation. The Alpamayo product page lists Edge as available and separates the compact in-vehicle model from the 34-billion-parameter Alpamayo 2 Super , which is intended for driving prediction, scene understanding, auto-labeling and training smaller models.

Compact Model With Adaptive Reasoning Cosmos 3 Edge supplies the Nemotron-based reasoning backbone, while a diffusion action expert produces driving actions. In this vision-language-action design, surround-camera video, temporal context, ego-motion history and navigation text are converted into future trajectories and Chain-of-Causation explanations linking decisions to causal factors.

The model can also answer free-form questions about a driving scene. Edge can omit a reasoning trace for routine driving instead of producing one for every decision.

In those cases, the inference (running a trained model to get an answer, rather than training it) script emits special NOMINAL tokens (the small pieces of text a model reads and writes), cutting token generation and inference compute while the model continues to produce trajectories. The model card lists a global deployment geography, OpenMDW-1.1 licensing for the weights and Apache License 2.0 for the source code.