Nvidia has unveiled a new technology platform designed to make autonomous vehicles reason more like humans, as the company deepens its push into artificial intelligence for real-world applications.
Speaking on Monday at the CES technology show in Las Vegas, Nvidia chief executive Jensen Huang introduced “Alpamayo”, a platform that the company says enables self-driving cars to analyse rare situations, operate safely in complex environments and explain the decisions they make on the road.
According to Huang, Alpamayo represents a major step toward more transparent and reliable autonomous driving. By combining reasoning capabilities with real-time perception, the system allows vehicles not only to act, but also to justify why they act in a certain way.
Alongside the platform announcement, Huang revealed that Nvidia has begun producing a fully driverless version of the Mercedes-Benz CLA, developed in partnership with the German carmaker. The vehicle is expected to launch in the United States in the coming months, before expanding to European and Asian markets.
Addressing the audience, Huang said the project has provided Nvidia with deep insights into how complex robotic systems can be built and deployed at scale. He added that these lessons are shaping the company’s broader strategy in what it describes as “physical AI”.
Industry analysts view the move as further evidence of Nvidia’s ambition to go beyond chip design and position itself as a full platform provider for AI-driven systems. They say the integration of hardware, software and AI models strengthens Nvidia’s lead over competitors in emerging sectors such as autonomous mobility.
During the presentation, Nvidia showed a video of the AI-powered Mercedes-Benz navigating the streets of San Francisco, while a passenger sat behind the wheel without touching it. Huang explained that the system learned directly from human driving behaviour and continuously reasons through each situation it encounters.
Nvidia also announced that Alpamayo is open source, with its code available on the Hugging Face platform. This allows researchers and developers to access, adapt and retrain the model for their own autonomous vehicle projects.
The announcement drew reactions from rivals, including Tesla chief executive Elon Musk, who noted that while achieving near-perfect autonomy is possible, solving the most complex edge cases remains a significant challenge.
Nvidia confirmed that it plans to launch a robotaxi service next year with an unnamed partner, signalling its intent to compete more directly in autonomous transport services. The company’s shares edged higher in after-hours trading following the event.
In addition, Nvidia disclosed that its next-generation Rubin AI chips are already in production and are scheduled for release later this year. The new chips are designed to deliver higher performance with lower energy consumption, potentially reducing the cost of developing and deploying AI systems.