NVIDIA Alpamayo

NVIDIA Alpamayo

Open models, frameworks, and datasets for reasoning-based robotaxis and autonomous vehicles.

Overview

What Is NVIDIA Alpamayo?

The NVIDIA Alpamayo™ family of open VLA models, simulation frameworks, and physical AI datasets is helping drive the next generation of reasoning-based robotaxis and autonomous vehicles. Built on NVIDIA Cosmos™, it reasons through rare, long-tail driving scenarios and generates Chain of Causation traces that make each decision interpretable and auditable.

Alpamayo moves beyond traditional rules-based software, perceiving, reasoning, and acting within unpredictable, real-world environments. It uses human-like judgment to deliver the foundation needed for safe, scalable Level 4 autonomy.

Alpamayo 2 Super, The Frontier Open Model for Robotaxis and Autonomous Vehicles, Now Available

The frontier open reasoning model for autonomous vehicle and robotaxi development is here — commercially licensed and ready to build on.

Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super

This blog covers how AV developers can generate trajectories, causal reasoning traces, Meta-Actions, scene Q&A, and auto-labels across their own driving data.

Demo

Building Robotaxis and Autonomous Vehicles That Reason

This demo gives voice to Alpamayo’s internal reasoning — showing what it could sound like if you could listen in, while the driver simply enjoys the ride.

Benefits

What Does Alpamayo Bring to Robotaxi Development?

Open and Transparent AI

Alpamayo delivers fully open models, simulation frameworks, and datasets that promote transparency, reproducibility, and trust. This means you can inspect, extend, and fine-tune the technology to meet regional safety standards and regulatory requirements.

Reasoning-Based Autonomy

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.

High-Fidelity Simulation at Scale

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.

An Accelerated Path to Level 4

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.

Technology

Accelerated Robotaxi and Autonomous Vehicle Development

See how Alpamayo is used across the AV development process.

Data and Labeling

Physical AI open datasets provide real-world driving data, and CoC Auto-Labeling Pipeline generates Chain-of-Causation reasoning labels from driving clips at scale.

Model Training and
Post-Training

Alpamayo open VLA models are trained and optimized with NVIDIA AlpaGym through closed-loop RL.

Simulation and Validation

AlpaSim validates model behavior in closed-loop simulation before real-world deployment.

In-Vehicle Deployment

Alpamayo enables a validated path to in-vehicle deployment on NVIDIA DRIVE AGX Thor™.

Models and Frameworks

Core Components of the Alpamayo Portfolio

Alpamayo : Open Reasoning VLA Model

Alpamayo is built on NVIDIA Cosmos™ and processes multi-camera video, navigation inputs, and driving context to generate trajectories and Chain-of-Causation reasoning traces. It’s available in 10 billion parameters with Alpamayo 1 Nano and 1.5 Nano, and scales to 34 billion parameters with Alpamayo 2 Super.

AlpaSim: Open Simulation Framework

An open-source closed-loop AV simulation framework, AlpaSim validates model decisions against real-world consequences, accelerating safety validation without scaling physical test fleets.

AlpaGym: Closed-Loop Reinforcement Learning

NVIDIA AlpaGym is a high-throughput closed-loop RL training framework, training AV models through continuous decision and observation cycles, producing models validated against the full complexity of real-world driving.

Physical AI Open Datasets: Real-World Driving Data

The largest open multi-sensor driving dataset available, Physical AI Open Datasets provide real-world driving data with Chain-of-Causation reasoning labels across 25 countries, purpose-built for long-tail scenario coverage.

Starting Options

Getting Started With Alpamayo

Explore the Open Models

Start working with the Alpamayo 2 Super reasoning foundation model.

  • Download the model from GitHub and Hugging Face.
  • Generate trajectories and reasoning traces.
  • Build on open weights and Apache 2.0 code.

Post-Train and Optimize

Adapt Alpamayo to your own driving data and compress it for the edge.

  • Fine-tune it on your own driving data.
  • Post-train it with reinforcement learning.
  • Quantize the model for in-vehicle inference.

Get in Touch

Talk to an NVIDIA AV specialist about moving from open model to in-vehicle deployment.

  • Deploy in-vehicle inference on DRIVE AGX Thor.
  • Plan your safety and certification path.
  • License Alpamayo for commercial production use.

Resources

Explore the Latest in Automotive

This is NVIDIA Alpamayo Thinking Out Loud

This demo gives voice to Alpamayo’s internal reasoning, showing what it could sound like if you could listen in, while the driver simply enjoys the ride.

In-Car Reasoning: AI That Drives, Explains Decisions, and Responds to Passengers

This video showcases four capabilities of NVIDIA Alpamayo: chain-of-thought, verbalized reasoning, natural language Q&A, and language instructions and commands.

How Autonomous Vehicles Learn to Reason With NVIDIA Alpamayo

See how open NVIDIA Alpamayo models, simulation frameworks, and physical AI datasets accelerate reasoning-based development for autonomous vehicles and self-driving cars.

Next Steps

Ready to Get Started?

Use NVIDIA Alpamayo open models, frameworks, and datasets to develop reasoning-based autonomous driving.

Request a Consultation

Talk to an NVIDIA AV specialist about taking reasoning-based autonomous driving from Alpamayo models into production on NVIDIA DRIVE™.

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Get the latest news on NVIDIA automotive technologies, breakthroughs, and more.

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