NVIDIA and Uber Announce Partnership to Build World's Largest Level 4 Robotaxi Network

The partnership centers on deploying level 4 autonomous vehicles through Uber's ride-hailing platform using NVIDIA's next-generation autonomous vehicle development platform and software. The DRIVE AGX Hyperion 10 platform and DRIVE AV software are purpose-built for level 4 autonomy, enabling Uber to seamlessly integrate human drivers and autonomous vehicles into a single operating network^[1][2]. NVIDIA and Uber are jointly developing a data factory accelerated by the NVIDIA Cosmos world foundation model platform to curate and process data needed for autonomous vehicle development^[1]. The platform's scalability and compatibility with existing autonomous vehicle software allows companies to seamlessly integrate and deploy future upgrades across robotaxi and autonomous mobility fleets via over-the-air updates^[1].

Leading global automakers and robotaxi operators are already collaborating with NVIDIA and Uber to launch level 4 fleets. Stellantis is developing AV-Ready Platforms specifically optimized to support level 4 capabilities and meet robotaxi requirements, integrating NVIDIA's full-stack AI technology and collaborating with Foxconn on hardware and systems integration^[1][3]. Lucid and Mercedes-Benz are also collaborating on level 4-ready autonomous vehicles compatible with DRIVE AGX Hyperion 10^[1]. In the trucking sector, Aurora, Volvo Autonomous Solutions, and Waabi are developing level 4 autonomous trucks powered by the NVIDIA DRIVE platform, with their next-generation systems built on NVIDIA DRIVE AGX Thor^[1]. NVIDIA continues to support shared partners across the worldwide level 4 ecosystem, including Avride, May Mobility, Momenta, Nuro, Pony.ai, Wayve, and WeRide^[1].

NVIDIA's autonomous driving approach leverages foundation AI models, large language models, and generative AI trained on trillions of real and synthetic driving miles, enabling self-driving systems to solve complex urban driving situations with humanlike reasoning and adaptability^[1]. The company released its largest multimodal autonomous vehicle dataset, comprising 1,700 hours of real-world camera, radar, and lidar data across 25 countries, designed to bolster development and validation of foundation models for autonomous driving^[2]. NVIDIA launched the Halos Certified Program, described as the industry's first system to evaluate and certify physical AI safety for autonomous vehicles and robotics, enabling safe level 4 autonomous driving backed by industry-leading safety certifications and cybersecurity standards^[1][2].

Jensen Huang, founder and CEO of NVIDIA, stated that robotaxis mark the beginning of a global transformation in mobility, making transportation safer, cleaner, and more efficient^[1]. Dara Khosrowshahi, CEO of Uber, emphasized that NVIDIA is the backbone of the AI era and is now fully deploying that innovation to unleash level 4 autonomy at enormous scale, making it easier for NVIDIA-empowered autonomous vehicles to be deployed on Uber^[1]. Khosrowshahi added that autonomous mobility will transform cities for the better, expressing enthusiasm for the partnership to make that vision a reality^[1].