NVIDIA to Launch L4 Software-Driven Robotaxis on Uber Across 28 Cities by 2028

Key Terms

autonomous vehicles technical

Vehicles that use on-board sensors, cameras and software to navigate and drive without a human actively controlling them; think of them as robotic chauffeurs that can perceive roads, make decisions and follow traffic rules. For investors, they matter because they can reshape transportation costs, create new revenue streams (rides, logistics, software) and change regulatory and liability risks, so their adoption affects manufacturers, tech suppliers, insurers and transportation demand.

robotaxis technical

Robotaxis are passenger vehicles that drive themselves using sensors and software, operating like a taxi without a human driver. For investors, they matter because they promise a new, potentially large revenue stream from automated ride-hailing and logistics while also carrying high costs, safety and regulatory risks, and heavy competition—similar to betting on a new public transit system that must prove it can run safely and profitably at scale.

ai model technical

An AI model is a computer program taught from large amounts of data to recognize patterns and make predictions or decisions, similar to a worker who learns from experience or a recipe refined by repeated cooking. For investors it matters because these models can drive product features, reduce costs, create new revenue streams, or introduce regulatory and operational risks that affect a company’s competitive edge and financial outlook.

NVIDIA to debut proprietary L4 software with leading OEMs on Uber’s network, starting in Los Angeles and San Francisco next year

SAN FRANCISCO & SANTA CLARA, Calif.--(BUSINESS WIRE)-- Uber Technologies, Inc. (NYSE: UBER) and NVIDIA (NASDAQ: NVDA) today announced an expansion of their autonomous vehicle partnership. The companies, supported by their growing roster of automaker partners, plan to launch a global fleet of entirely NVIDIA software-driven autonomous vehicles, starting in Los Angeles and San Francisco in the first half of 2027 and scaling across 28 cities globally by 2028.

NVIDIA and Uber to launch NVIDIA-driven robotaxis across 28 cities by 2028

Central to this deployment is the NVIDIA DRIVE Hyperion autonomous vehicle platform and NVIDIA Alpamayo, a next-generation reasoning-based AI model for autonomous vehicles designed to handle complex "long-tail" scenarios—such as unpredictable construction zones or erratic pedestrian behavior—using chain-of-thought logic, marking NVIDIA’s evolution into a full-stack L4 software provider.

“Autonomous technology holds enormous promise to make transportation safer, more reliable, and more accessible,” said Dara Khosrowshahi, CEO of Uber. “By expanding our partnership with NVIDIA and combining advanced AI with Uber’s global network and operating experience, we are laying the foundation for an increasingly multi-player AV world, ensuring broad commercialization and helping to bring robotaxi service to more riders over time.”

“The ‘ChatGPT moment’ for physical AI has arrived—robotic systems can now reason about the complexities of the physical world,” said Jensen Huang, founder and CEO of NVIDIA. “Uber is building one of the world’s most expansive autonomous ride-hailing platforms. We are delighted to connect NVIDIA’s large ecosystem of robotaxi-ready partners to the Uber network to bring the magic of robotaxis to cities worldwide.”

NVIDIA and Uber will implement a phased deployment strategy in each launch city. This will begin with a fleet of data-collection vehicles to help train the Alpamayo engine on city-specific driving nuances. Following this phase, the fleet will transition to an operator-led launch, before transitioning to fully driverless Level 4 deployments. This systematic approach is intended to support an effective scale-up to 28 cities with driverless operations across North America, Europe, Australia, and Asia by 2028.

About Uber

Uber’s mission is to create opportunity through movement. We started in 2010 to solve a simple problem: how do you get access to a ride at the touch of a button? More than 72 billion trips later, we’re building products to get people closer to where they want to be. By changing how people, food, and things move through cities, Uber is a platform that opens up the world to new possibilities.

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Source: Uber Technologies, Inc.