In a landmark move set to transform global ride-hailing, Uber Technologies has partnered with Nvidia to develop and deploy 100,000 autonomous robotaxis by 2027. Announced at Nvidia’s GTC Conference in Washington, DC, the initiative represents one of the most ambitious efforts yet to commercialise driverless transport on a global scale.
A Strategic Leap in Autonomous Mobility
The collaboration builds on an earlier agreement where Uber shared driving data to train Nvidia’s AI systems. The project will leverage Nvidia’s Drive AGX Hyperion 10 platform, designed to integrate advanced sensors and self-driving hardware, enabling Uber to operate a fully AI-powered mobility network across its markets.
Stellantis and Foxconn Join the Fleet
Automaker Stellantis will produce the first 5,000 robotaxis, equipped with Nvidia’s technology, while Foxconn will handle hardware and system integration. Production begins in 2028, with U.S. pilot programs paving the way for international rollout. Uber will manage maintenance, charging, and customer support, integrating the fleet into its existing platform.
Building the Robotaxi Data Factory
Uber and Nvidia will also establish a “robotaxi data factory”, processing over three million hours of driving data to refine autonomous AI systems. This facility will enhance safety, efficiency, and predictive performance, setting new benchmarks for driverless mobility technology.
Exam-Oriented Facts
- Uber to deploy 100,000 Nvidia-powered robotaxis starting in 2027
- Stellantis and Foxconn to supply the first 5,000 vehicles
- Powered by Nvidia Drive AGX Hyperion 10 platform
- 3 million hours of driving data to train AI models
Redefining Ride-Hailing Economics
This partnership could reshape Uber’s operational model by reducing dependence on human drivers, lowering costs, and expanding coverage. For Nvidia, it cements leadership in AI-driven mobility solutions. If successful, the initiative may redefine the economics, safety, and accessibility of global ride-hailing — driving the next era of autonomous urban transport.
