Uber and NVIDIA Partner to Build One of the World’s Largest Autonomous Vehicle Networks
Uber Technologies, Inc. today announced a major collaboration with NVIDIA to accelerate the development and deployment of next-generation autonomous mobility solutions, marking a significant milestone in the evolution of robotaxis and automated delivery fleets. By leveraging NVIDIA’s powerful AI architecture, Uber aims to create one of the world’s largest networks of self-driving vehicles, capable of operating at scale across global markets.
At the heart of this partnership lies NVIDIA’s latest DRIVE AGX Hyperion autonomous vehicle platform, featuring the safety-certified NVIDIA DriveOS operating system and the full-stack NVIDIA DRIVE AV software—a solution specifically designed for Level 4 (L4) autonomy, which enables vehicles to drive themselves under most conditions without human intervention.
Expanding Global Robotaxi and Delivery Fleets
The first phase of the collaboration will see Stellantis, one of the world’s largest automotive manufacturers, deliver at least 5,000 NVIDIA-DRIVE-powered L4 vehicles to Uber. These vehicles will be deployed for robotaxi operations in the U.S. and international markets, forming the foundation of Uber’s rapidly expanding autonomous fleet.
Uber will manage the entire lifecycle of fleet operations—including remote monitoring and assistance, charging, cleaning, maintenance, and customer support—ensuring the robotaxi experience meets Uber’s global safety and service standards.
“NVIDIA is the backbone of the AI era, and is now fully harnessing that innovation to unleash L4 autonomy at enormous scale, while making it easier for NVIDIA-empowered AVs to be deployed on Uber,” said Dara Khosrowshahi, CEO of Uber. “Autonomous mobility will transform our cities for the better, and we’re thrilled to partner with NVIDIA to help make that vision a reality.”
From Stellantis’ perspective, the partnership aligns with its vision of scalable, sustainable mobility. “Autonomous mobility opens the door to new, more affordable transportation choices for customers,” said Antonio Filosa, CEO of Stellantis. “We have built AV-ready platforms to meet growing demand, and by collaborating with leaders in AI, electronics, and mobility services, we aim to deliver smarter, safer, and more efficient transportation for everyone.”
Jensen Huang, founder and CEO of NVIDIA, emphasized the transformational impact of this collaboration. “Robotaxis mark the beginning of a global transformation in mobility—making transportation safer, cleaner, and more efficient,” Huang said. “Together with Uber, we’re creating a framework for the entire industry to deploy autonomous fleets at scale, powered by NVIDIA AI infrastructure. What was once science fiction is fast becoming an everyday reality.”
A Scalable and Open AV Ecosystem
The Uber-NVIDIA partnership is not limited to Uber’s in-house initiatives. Both companies are collaborating to support a broad Level 4 global ecosystem, working alongside industry pioneers such as Aurora, Avride, May Mobility, Momenta, Motional, Nuro, Pony.ai, Waabi, Wayve, and WeRide.
By integrating NVIDIA’s DRIVE AGX Hyperion 10 platform—a production-ready, modular compute and sensor architecture—with Uber’s robust mobility and operations infrastructure, the collaboration provides a scalable, open technology stack for autonomous driving.
This integrated framework allows Uber and its partners to seamlessly deploy a variety of autonomous vehicles—from passenger cars and delivery vans to long-haul trucks—using the same underlying AI-driven architecture. NVIDIA’s DRIVE AV software stack offers a comprehensive suite of Level 4 autonomy capabilities, ensuring vehicles can navigate complex urban and highway environments safely and efficiently.
Accelerating Physical AI Through a Joint Data Factory
Beyond vehicles, the partnership extends to data infrastructure, the critical foundation of modern AI development. Uber and NVIDIA are establishing a robotaxi data factory powered by NVIDIA Cosmos, a next-generation platform for physical AI—the convergence of simulation, real-world data, and continuous learning.
Uber will contribute more than 3 million hours of driving data from its global operations, including high-fidelity sensor captures, video feeds, and environmental data from diverse geographies. This rich dataset will be instrumental in training and validating L4 autonomy models.
NVIDIA, in turn, will provide its high-performance GPUs, Cosmos software, and a suite of tools for data curation, search, labeling, simulation, and large-scale model training. The combination of Uber’s vast real-world driving data and NVIDIA’s AI infrastructure creates a powerful continuous learning loop that enables faster model refinement and safer deployment cycles.
The data factory is designed as a complete end-to-end engine—covering every step from data ingestion and scenario mining to synthetic data generation, simulation-based validation, and autonomy software optimization. This approach will dramatically shorten the path from prototype to production, helping Uber move from pilot programs to profitable, large-scale deployments of self-driving vehicles.
Building the Future of AI-Powered Mobility
The Uber-NVIDIA alliance represents a major leap forward in autonomous mobility, combining Uber’s operational scale and real-world driving expertise with NVIDIA’s leadership in AI computing and autonomy software. Together, the two companies are creating the foundation for a global, AI-driven transportation network—one that promises greater safety, efficiency, and accessibility for millions of riders and businesses worldwide.
As autonomous vehicles become a reality, Uber and NVIDIA are positioning themselves at the forefront of the AI mobility revolution, redefining how people and goods move through the world.
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