Same demo reposted by Embedl: Alpamayo 2 Edge at 45ms per plan on Jetson Thor

Embedl · reddit · 2026-11-13

Repost of the same announcement from Embedl: their optimization of NVIDIA's Alpamayo 2 Edge VLA driving model (6 cameras, RL-trained, reasoning-then-planning) cuts per-plan latency on Jetson AGX Thor from 0.6–0.8s to 45ms, achieving 20 decisions/s, with a live in-browser demo on a real board.

Related event: NVIDIA's Alpamayo 2 Edge VLA Driving Model Hits 20 Decisions/sec on Thor After Embedl Optimization(2 posts)→

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