Nvidia confirmed that its new autonomous driving software will be launched in a production car by the end of 2026.
German automaker Mercedes’ new CLA four-door coupe will be the first to offer Nvidia Drive AV, an AI-based system that provides additional features. level 2 Point-to-point driver assistance. The Society of Automotive Engineers believes that Level 2 automation is when a car can control steering, braking, and acceleration, although a human driver must be ready to intervene at all times.
This level of functionality is not unusual – in fact Mercedes is already pushing it beyond its limits Level 3 DrivePilot technologyWhich enables “hands off, eyes closed” driving in some circumstances.
But Nvidia’s first product will be based on Alpamayo, a new family of open source models designed to tackle long-tail autonomous driving challenges — including the unusual edge cases that have traditionally proven a problem for autonomous driving software.
Alpamayo was performed with other models at the Consumer Electronics Show in Las Vegas, where Nvidia CEO Jensen Huang explained its importance.
“The chatty moment for physical AI has arrived – when machines begin to understand, reason and act in the real world,” Huang said. “Alpamayo brings logic to autonomous vehicles, allowing them to think about rare scenarios, drive safely in complex environments, and explain their driving decisions – this is the foundation of safe, scalable autonomy.”
Key components of AlpaMayo were released at CES, among them AlpaMayo 1, a 10 billion parameter vision-language-action model that uses “chain of thought” logic to map out a path, showing the reasoning for each decision. That latter element is likely to be of particular interest to regulators, who need to know specifically what happened in the event of an AV accident.
It was linked to Alpasim, a complete open-source end-to-end SIM framework for developing AV, as well as over 1,700 hours of physical AI open data sets. Nvidia says the open source nature of the technology has already attracted interest from automakers JLR and Lucid, as well as Uber, as they look to build out the reasoning stack to achieve Level 4 automation, or full autonomy under specific circumstances.
In the Mercedes CLA, Nvidia’s Drive AV solution is based on the Nvidia Halos safety system, which adds redundancy and safety guardrails.
Point-to-point navigation in complex urban environments, active collision avoidance and automatic parking in tight spaces are among the autonomous and driver-assistance features that Mercedes has introduced.
“As the automotive industry embraces physical AI, Nvidia is the intelligence backbone that makes every vehicle programmable, updatable, and constantly improving through data and software,” Ali Kani, Nvidia vice president of automotive, said in a press release.
The first CLAs using the new Nvidia technology are expected later this year.
