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Nvidia scores key breakthrough to bring AI to autonomous vehicles


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Nvidia has announced that the design keys are successful of autonomous vehicles with automakers such as Toyota, Aurora and Continental.

These providers are part of Nvidia’s growing lineup and are releasing the next generation of autonomous vehicles. Jensen Huang, CEO of Nvidia, made the announcement during his opening speech Cost of CES 2025.

Nvidia announced today that the company is joining the ranks of global mobility leaders that are developing and building their consumer and commercial vehicles on Nvidia’s computing and AI accelerators.

Toyota, the world’s largest automaker, will build its next-generation vehicles on top of the world’s most advanced Nvidia Drive AGX Orin system-on-a-chip (SoC), running the secure Nvidia DriveOS operating system. These vehicles will provide safe, advanced driver assistance.

Nvidia’s Thor chip platform.

Many of today’s car manufacturers, carmakers, robotaxi, and autonomous driving companies, tier-one vendors and transportation startups are growing on the Nvidia Drive AGX platform and technology. With leading platforms ranging from training in the cloud, to in-car computing simulation, Nvidia’s automotive vertical business is expected to grow to nearly $5 billion in revenue.
the year 2026.

“The autonomous vehicle revolution has arrived, and automobiles will be one of the biggest industries in AI and robotics,” Huang said. “Nvidia is bringing two decades of automotive computing, security and technology expertise to bear
CUDA AV platform to revolutionize the automotive industry.

Aurora, Continental and Nvidia this week also announced a long-term partnership to deploy driverless cars at scale, with the help of Nvidia Drive. Nvidia’s fastest computers running DriveOS will be integrated into Aurora Driver, the SAE level 4 self-driving system that Continental plans to mass-produce in 2027.

Nvidia Drive Hyperion
Nvidia Drive Hyperion

Other automotive companies that have adopted Nvidia Drive accelerate their next-generation driver assistance systems and autonomous road vehicles such as BYD, JLR, Li Auto, Lucid, Mercedes-Benz, NIO, Nuro, Rivian, Volvo Cars, Waabi, Wayve, Xiaomi. , ZEEKR, Zoox and many others.

Nvidia offers three computing systems and AI software necessary for the advancement of autonomous vehicles. One is the Nvidia Drive on-board computer for real-time data processing. The other two are the Nvidia DGX system for training AI models and software stacks, and the Nvidia Omniverse platform running on the Nvidia OVX system for testing and validating self-driving systems through simulation.



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