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Nvidia stated that master design wins for autonomous vehicles by automakers such as Toyota, Aurora and Continental.
These partners are part of a growing list for Nvidia and are rolling out next-generation autonomous vehicle fleets. Jensen Huang, CEO of Nvidia, made the announcements during his keynote address at CES 2025.
Nvidia announced today that these companies have joined the list of global mobility leaders developing and building their consumer and commercial vehicle fleets on Nvidia accelerated computing and AI.
Toyota, the world's largest automaker, will build its next-generation vehicles on the high-performance Nvidia Drive AGX Orin system-on-a-chip (SoC), which runs the Nvidia DriveOS operating system with safety certificate. These vehicles will provide safe advanced driving assistance capabilities.
Most of today's car manufacturers, truck makers, robotaxi, and autonomous delivery vehicle companies, tier one suppliers and mobility startups are developing on a platform and Nvidia Drive AGX technologies. With innovative platforms ranging from training in the cloud, to simulation to work out in the car, Nvidia's automotive vertical business is expected to grow to around $5 billion in fiscal.
year 2026.
“The autonomous vehicle revolution has arrived, and automobiles will be one of the biggest AI and robotics industries,” Huang said. “Nvidia brings two decades of automotive computing, safety expertise and a
CUDA AV Platform to Transform the Multi-Trillion Dollar Automotive Industry.”
Aurora, Continental and Nvidia this week also announced a long-term strategic partnership to deploy driverless trucks at scale, powered by Nvidia Drive. Nvidia's accelerated computing DriveOS will be integrated into the Aurora Driver, a SAE level 4 autonomous driving system that Continental plans to mass-produce in 2027.
Other mobility companies adopting Nvidia Drive accelerate computing for the next generation of advanced driver assistance systems and autonomous vehicle road maps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz , NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi , ZEEKR, Zoox and many more.
Nvidia offers three main computing systems and the AI software necessary for end-to-end autonomous vehicle development. One of them is the Nvidia Drive in-vehicle computer for processing real-time sensor data. The other two are Nvidia DGX systems for training AI models and software stacks, and the Nvidia Omniverse platform running on Nvidia OVX systems for testing and validating self-driving systems in imitation
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