NVIDIA partners with Uber to scale autonomous vehicle fleets by 2027

October 28, 2025 1:49 PM EDT
(Updated - October 28, 2025 1:49 PM EDT)

NVIDIA Corp. (NASDAQ: NVDA) announced a partnership with Uber Technologies Inc. to develop autonomous vehicle technology for global deployment, according to a company press release.

The collaboration centers on NVIDIA's new DRIVE AGX Hyperion 10 platform, which the company describes as a reference compute and sensor architecture for level 4 autonomous vehicles. Uber plans to begin scaling its autonomous fleet starting in 2027, targeting 100,000 vehicles over time.

The DRIVE AGX Hyperion 10 platform includes two DRIVE AGX Thor system-on-chips based on NVIDIA's Blackwell architecture, delivering over 2,000 FP4 teraflops of real-time compute. The system incorporates 14 high-definition cameras, nine radars, one lidar and 12 ultrasonic sensors.

Several automakers are participating in the initiative. Stellantis is developing AV-Ready Platforms optimized for level 4 capabilities and robotaxi requirements. Lucid is advancing autonomous capabilities for its next-generation passenger vehicles using NVIDIA's software stack. Mercedes-Benz is testing collaboration on future vehicles using its MB.OS operating system with DRIVE AGX Hyperion.

NVIDIA and Uber will develop a joint AI data factory using the NVIDIA Cosmos platform to process data for autonomous vehicle development. The companies will also support other partners in the autonomous vehicle ecosystem, including Avride, May Mobility, Momenta, Nuro, Pony.ai, Wayve and WeRide.

For freight applications, Aurora, Volvo Autonomous Solutions and Waabi are developing level 4 autonomous trucks using the NVIDIA DRIVE platform built on NVIDIA DRIVE AGX Thor.

NVIDIA also launched the Halos Certified Program, which the company calls the industry's first system to evaluate and certify physical AI safety for autonomous vehicles and robotics. The NVIDIA Halos AI Systems Inspection Lab received accreditation from the ANSI Accreditation Board.



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