Nvidia has announced a landmark partnership with Uber to develop and scale the world’s largest Level 4-ready autonomous mobility network, leveraging Nvidia’s latest DRIVE AGX Hyperion 10 platform and DRIVE AV software purpose-built for L4 autonomy. The collaboration aims to accelerate the global rollout of Uber’s robotaxi and autonomous delivery fleets, with plans to scale up to 100,000 vehicles beginning in 2027.
The partnership will combine Uber’s vast mobility infrastructure with Nvidia’s full-stack AI and autonomous vehicle technology to enable faster, safer, and more efficient autonomous transport. Together, the companies are also developing a data factory, powered by the Nvidia Cosmos world foundation model platform, to process and curate the massive datasets required for autonomous vehicle development.
The Nvidia DRIVE AGX Hyperion 10 serves as the backbone of this initiative, providing a reference production architecture that makes any vehicle Level 4-ready. With its modular design and prequalified sensor suite—including cameras, radar, lidar, and ultrasonics—the platform enables automakers to build vehicles equipped with validated hardware and AI systems that support scalable, safe autonomy.
Uber’s vision is to merge human-driven and autonomous vehicles into a unified, intelligent ride-hailing network. Using Nvidia-powered Hyperion-ready vehicles, Uber’s system will integrate current driver operations with emerging autonomous fleets, ensuring seamless coexistence during the transition to full autonomy.
“Robotaxis represent the dawn of a global mobility revolution—making transportation safer, cleaner, and more efficient,” said Jensen Huang, Founder and CEO of Nvidia. “Together with Uber, we’re creating a framework to deploy autonomous fleets at scale, powered by Nvidia AI infrastructure.”
Dara Khosrowshahi, CEO of Uber, added: “Nvidia is the backbone of the AI era. This partnership will enable Uber to accelerate the deployment of Level 4 autonomous vehicles, transforming urban mobility and bringing us closer to a carbon-neutral transport future.”
The collaboration extends to global automakers and technology partners, including Stellantis, Lucid, Mercedes-Benz, Aurora, Volvo Autonomous Solutions, and Waabi, all of which are integrating Nvidia’s DRIVE platforms to build and test Level 4-capable vehicles. Nvidia’s DRIVE AGX Thor, based on its Blackwell architecture, delivers over 2,000 FP4 teraflops of compute power—enabling real-time sensor fusion, AI reasoning, and safety-certified operation for complex driving environments.
By combining foundation AI models, large language reasoning, and vision-language-action (VLA) models, Nvidia’s approach allows autonomous vehicles to interpret and react to unpredictable real-world conditions with humanlike reasoning. To support industry-wide development, Nvidia is also releasing the world’s largest multimodal AV dataset, containing 1,700 hours of sensor data from 25 countries.
In parallel, the new Nvidia Halos system sets a global benchmark for AI safety and certification, ensuring reliable deployment of autonomous systems. The Halos AI Systems Inspection Lab, accredited by the ANSI Board, provides independent validation for AI-driven automotive and robotics technologies.
Through this partnership, Nvidia and Uber are laying the foundation for the next generation of AI-powered, sustainable, and fully autonomous transportation—bridging today’s human-driven mobility with the autonomous networks of tomorrow.
