Open VLA models, frameworks, and datasets for reasoning-based autonomous vehicles.
Overview
NVIDIA Alpamayo, winner of the COMPUTEX Best Choice Award, is a family of open VLA models, simulation frameworks, reinforcement learning infrastructure, and physical AI datasets, designed to accelerate the development of safe, transparent, and reasoning-based robotaxis & autonomous vehicles (AVs).
Built to accelerate Level 4 autonomy, Alpamayo lets vehicles perceive, reason, and act with human-like judgment. By reasoning through rare and complex scenarios rather than relying on predefined rules, Alpamayo advances safer, more transparent autonomous driving at scale.
See how Alpamayo is used across the AV development process.
Demo
See how Alpamayo enables a vehicle to reason through complex, real-world scenarios and explain every decision.
Benefits
Alpamayo delivers fully open models, simulation frameworks, and datasets that promote transparency, reproducibility, and trust. Developers can inspect, extend, and fine-tune the technology to meet regional safety standards and regulatory requirements.
Unlike perception-only systems, Alpamayo empowers vehicles to explain why they act. Vision-language-action models reason over complex driving scenes, verbalize decision logic, and support interpretable, auditable autonomy.
With open simulation frameworks and neural reconstruction tools, Alpamayo enables closed-loop testing across diverse traffic scenarios, weather conditions, and edge cases. This greatly reduces real-world testing time and accelerates validation.
By standardizing foundational autonomy components, Alpamayo helps OEMs, Tier 1s, startups, and researchers shorten development cycles, align with global safety expectations, and focus on differentiation rather than rebuilding core AI systems.
Models and Frameworks
Resources
Use the open models, frameworks, and datasets to take NVIDIA Alpamayo from research to real-world autonomous driving.
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