Nvidia announces that it has key design wins for autonomous vehicles with automakers such as Toyota, Aurora and Continental.

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

Nvidia today announced the companies that have joined the list of global mobility leaders that are developing and building their consumer and commercial vehicle fleets with 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 safety features, advanced driver assistance capabilities.

Most of today’s car manufacturers, truck makers, robotaxi, and autonomous vehicle delivery companies, tier-one suppliers and mobility startups are developing the Nvidia Drive AGX platform and technology. With cutting-edge platforms from cloud training, to vehicle computing simulation, Nvidia’s automotive vertical business is expected to grow to approximately $5 billion in the fiscal
year 2026.

“The autonomous vehicle revolution has arrived, and automotive will be one of the biggest AI and robotics industries,” Huang said. “Nvidia brings two decades of automotive computing, safety expertise and it
The CUDA AV platform to transform the multitrillion 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 compute that runs DriveOS will be integrated into the Aurora Driver, an SAE level 4 autonomous-driving system that Continental plans to mass-produce by 2027.

Other mobility companies adopting Nvidia Drive accelerated computing 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 necessary 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 simulation systems. .

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