Nvidia has announced it has key design wins for autonomous vehicles with car makers such as Toyota, Aurora and Continental.

These partners are part of a growing list for Nvidia and they’re rolling out next-generation highly automated an autonomous vehicle fleets. Jensen Huang, CEO of Nvidia, made the announcements at his opening keynote speech at CES 2025.

Nvidia announced today those 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, automotive-grade Nvidia Drive AGX Orin system-on-a-chip (SoC), running the safety-certified Nvidia DriveOS operating system. These vehicles will offer functionally safe, advanced driving assistance capabilities.

The majority of today’s auto manufacturers, truckmakers, robotaxi, and autonomous delivery vehicle companies, tier-one suppliers and mobility startups are developing on Nvidia Drive AGX platform and technologies. With cutting-edge platforms spanning from training in the cloud, to simulation to compute in the car, Nvidia’s automotive vertical business is expected to grow to approximately $5 billion in fiscal
year 2026.

“The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries,” said Huang. “Nvidia is bringing two decades of automotive computing, safety expertise and its
CUDA AV platform to transform the multitrillion dollar auto 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 compute running DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-manufacture in 2027.

Other mobility companies adopting Nvidia Drive accelerated compute for their next-generation advanced driver-assistance systems and autonomous vehicle roadmaps include BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi, ZEEKR, Zoox and many more.

Nvidia offers three core computing systems and the AI software essential for end-to-end autonomous vehicle development. One 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 simulation.