GlobeNewsWire
01 Jun 2026, 04:46 UTC · 1h ago
Source · https://www.globenewswire.com/news-release/2026/06/01/3303988/0/en/NVIDIA-Launches-Alpamayo-2-Super-Open-Reasoning-Model-for-Robotaxis.html
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NVIDIA launched Alpamayo 2 Super, a 32-billion-parameter open reasoning-based vision language action (VLA) model designed for Level 4 robotaxi development. — Lowering the barrier to L4 autonomy via an open-source foundation model accelerates the commercialization of robotaxis, benefiting NVIDIA's hardware ecosystem.
+0.60NVIDIA introduced AlpaGym, an open-source closed-loop reinforcement learning framework to improve AV performance by simulating compounding errors and edge cases. — Solving 'long-tail' edge cases is the primary technical hurdle for AV safety and regulatory approval, speeding up time-to-market for partners.
+0.40The Alpamayo 2 Super 'teacher' model can be distilled into smaller, compact models optimized for the NVIDIA DRIVE AGX Thor platform. — Directly links AI software advancement to the adoption of NVIDIA's specific vehicle hardware (DRIVE AGX Thor), driving future chip sales.
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6 related stories
NVIDIA is releasing a CoC Auto-Labeling Pipeline on GitHub to generate causal training data from raw driving clips without human annotation. — Reduces the significant cost and time associated with manual data labeling, increasing developer productivity across the AV sector.
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The company launched Alpamayo 2 Super and several new AI tools to accelerate the development and deployment of level 4 robotaxis.
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