Nvidia Unveils Alpamayo AI Models for Autonomous Vehicle Reasoning

At CES 2026, Nvidia introduced Alpamayo, a new suite of open-source AI models, simulation tools, and datasets designed to train physical robots and vehicles. This technology aims to help autonomous vehicles navigate and reason through complex driving scenarios.

"The ChatGPT moment for physical AI has arrived—when machines start to comprehend, reason, and interact with the real world," stated Nvidia CEO Jensen Huang. "Alpamayo equips autonomous vehicles with reasoning capabilities, enabling them to analyze rare situations, operate safely in intricate environments, and justify their driving decisions."

Central to this new family is Alpamayo 1, a 10-billion-parameter, chain-of-thought, reason-based vision-language-action (VLA) model. It allows an autonomous vehicle to think more human-like, solving complex edge cases—such as navigating a busy intersection with a malfunctioning traffic light—without prior specific experience.

"It achieves this by deconstructing problems into steps, reasoning through every potential outcome, and then choosing the safest course of action," explained Ali Kani, Nvidia's vice president of automotive, during a press briefing on Monday.

Or, as Huang described it in his Monday keynote: "Alpamayo doesn't just process sensor data to control the steering, brakes, and acceleration. It also reasons about the action it's about to execute. It communicates what it plans to do, explains the reasoning behind that decision, and then, of course, plots the trajectory."

The underlying code for Alpamayo 1 is available on Hugging Face. Developers can fine-tune it into smaller, faster versions for vehicle development, use it to train simpler driving systems, or build tools on top of it—such as auto-labeling systems for video data or evaluators to assess a vehicle's decision-making.

"They can also use Cosmos to generate synthetic data and then train and test their Alpamayo-based autonomous vehicle application on a combined dataset of real and synthetic information," Kani added. Cosmos is Nvidia's brand of generative world models—AI systems that create a digital representation of a physical environment to make predictions and take actions.

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Add your name to the Disrupt 2026 waitlist for priority access when Early Bird tickets are released. Previous Disrupt events have featured leaders from Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla—part of over 250 industry experts leading 200+ sessions designed to accelerate your growth and competitive advantage. You'll also have the chance to connect with hundreds of startups driving innovation across all sectors.

As part of the Alpamayo launch, Nvidia is also releasing an open dataset containing over 1,700 hours of driving data gathered across diverse geographies and conditions, encompassing rare and complex real-world scenarios. Additionally, the company is introducing AlpaSim, an open-source simulation framework for validating autonomous driving systems. Available on GitHub, AlpaSim is engineered to replicate real-world driving conditions—from sensor inputs to traffic dynamics—enabling developers to conduct safe, large-scale testing.

Nvidia CEO Jensen Huang unveils Alpamayo, open AI models for self-driving cars, which he anticipates will begin appearing on U.S. roads in Q1 of this year.

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