NVIDIA Ships Alpamayo 2 Edge: 2B-Parameter Onboard AV Reasoning at 160-190ms
nvidia · x · 2026-11-11
NVIDIA released Alpamayo 2 Edge, an open 2B-parameter adaptive reasoning vision-language-action model for autonomous vehicles, running in real time on DRIVE AGX Thor.
Key technical details from NVIDIA's developer blog:
- Generates Chain-of-Causation reasoning only when needed; a diffusion action expert produces trajectories from surround cameras and navigation inputs
- Closed-loop RL in AlpaGym improved driving performance by 48.9% over the best checkpoint
- AlpaJudge provides human-calibrated reasoning evaluation, usable for selecting high-value training data and as post-training rewards
- TensorRT and DFlash2 optimization yields 160-190 ms pixel-to-trajectory latency onboard
The model and AlpaJudge are available on Hugging Face for developers to adapt to their own fleets.
Related event: NVIDIA Open-Sources Alpamayo 2 Edge Driving Model(2 posts)→
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