Uber to Deploy One of the World's Largest Networks of Autonomous Vehicles, Powered by NVIDIA AI Architecture

Core Insights - Uber is partnering with NVIDIA to deploy one of the world's largest networks of autonomous vehicles, focusing on Level 4 (L4) autonomy for robotaxi operations both in the United States and internationally [1][3][4] Partnership and Vehicle Development - Stellantis will supply at least 5,000 L4 vehicles powered by NVIDIA DRIVE AGX Hyperion 10 to Uber, marking a significant step in the development of autonomous fleets [1][3] - The vehicles will utilize the latest NVIDIA DRIVE AGX Hyperion platform and NVIDIA DriveOS operating system, designed specifically for L4 autonomy [2][6] Operational Framework - Uber will manage end-to-end fleet operations, which includes remote assistance, charging, cleaning, maintenance, and customer support [3] - The collaboration aims to create a scalable solution for smarter, safer, and more efficient mobility [4] Industry Impact - The partnership is expected to transform urban mobility, making transportation safer, cleaner, and more efficient [4] - Uber and NVIDIA are also working with various partners to support a broad global Level 4 ecosystem, enhancing autonomy across multiple sectors including passenger mobility and delivery [5] Data and AI Integration - Uber plans to collect over 3 million hours of robotaxi-specific driving data to support L4 model training and validation, leveraging NVIDIA's GPUs and Cosmos platform for data management [7][8] - This initiative aims to accelerate the deployment of profitable autonomous solutions by creating a robust data engine for continuous improvement [8]