In a landmark move toward the future of autonomous transport, Uber Technologies has partnered with Nvidia to develop and deploy a global fleet of 100,000 driverless robotaxis by 2027. The announcement, made at Nvidia’s GTC Conference in Washington, DC, signals a major leap in the commercial rollout of large-scale autonomous mobility.
Strategic Collaboration for Autonomous Mobility
The partnership builds upon an earlier agreement signed in January, under which Uber shared extensive driving data to enhance Nvidia’s AI systems and self-driving chip technology. The project will be powered by Nvidia’s Drive AGX Hyperion 10 platform, which integrates advanced sensors, processors, and software to enable full-scale autonomous operations.
The collaboration aims to create a global AI-driven mobility network, positioning Uber as a frontrunner in autonomous ride-hailing.
Stellantis and Foxconn to Supply the First Fleet
Automaker Stellantis will manufacture the first 5,000 robotaxis equipped with Nvidia’s advanced hardware, with Foxconn supporting production and system integration. Pilot programs are set to begin in the United States, followed by a global rollout by 2028. Uber will oversee the entire fleet operation — including maintenance, charging, remote monitoring, and customer support — while continuing to collaborate with other self-driving partners like Waymo, WeRide, and Nuro.
Building the Robotaxi Data Factory
To accelerate innovation, Uber and Nvidia will jointly establish a “Robotaxi Data Factory”, designed to process more than three million hours of driving data collected from Uber’s global operations. Nvidia will supply the necessary processors, simulation tools, and analytics systems to train AI models for safer and more efficient driverless performance.
Exam-Oriented Key Facts
- Uber to deploy 100,000 Nvidia-powered robotaxis globally by 2027.
- Stellantis and Foxconn to build the first 5,000 vehicles for the fleet.
- Powered by Nvidia Drive AGX Hyperion 10 for integrated autonomous technology.
- Uber–Nvidia’s Robotaxi Data Factory to utilize 3 million+ hours of driving data.
Implications for the Future of Ride-Hailing
The collaboration marks a pivotal step in transforming Uber’s business model. By reducing dependence on human drivers, Uber expects to cut operational costs, expand coverage, and improve profitability. For Nvidia, the partnership reinforces its dominance in AI and automotive computing, advancing the global transition toward safe, scalable, and sustainable autonomous transport.
If executed as planned, this initiative could redefine the future of ride-hailing, making driverless mobility a mainstream reality within the next decade.