WASHINGTON, DC (GTC), Nov 3, 2025 – NVIDIA is partnering with Uber to expand a level 4 autonomous mobility network using robotaxi and autonomous delivery fleets. The effort will use the NVIDIA DRIVE AGX Hyperion 10 development platform and NVIDIA DRIVE AV software, purpose-built for L4 autonomy.
The collaboration aims to help Uber scale its global fleet to about 100,000 vehicles starting in 2027. The vehicles will be developed with NVIDIA and other Uber partners using NVIDIA DRIVE systems. NVIDIA and Uber are also developing a data factory powered by the NVIDIA Cosmos world foundation model platform. The system will curate, and process data needed for autonomous vehicle development.
NVIDIA DRIVE AGX Hyperion 10 is a reference architecture that combines a production computer with a sensor suite to support level 4 autonomy. It allows automakers to design cars, trucks, and vans with hardware and sensors that can run autonomous-driving software. The platform provides a base for developing safe and scalable AI-driven vehicles.
Uber is combining human drivers and autonomous vehicles within one network. Using NVIDIA DRIVE AGX Hyperion-ready vehicles and related AI systems, Uber aims to connect driver-based operations with future autonomous fleets.
“Robotaxis mark the beginning of a global transformation in mobility – making transportation safer, cleaner and more efficient,” said Jensen Huang, founder and CEO of NVIDIA. “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.”
“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.”
NVIDIA DRIVE Level 4 Ecosystem Grows
Automakers, robotaxi developers, and tier 1 suppliers are working with NVIDIA and Uber to deploy level 4 autonomous fleets using NVIDIA AI technology.
Stellantis is developing AV-Ready platforms that integrate NVIDIA AI and connect with Uber’s mobility network. Stellantis is also collaborating with Foxconn on hardware and systems integration.
Lucid is developing level 4 driving capabilities for its passenger vehicles, using NVIDIA AV software on the DRIVE Hyperion platform for the U.S. models.
Mercedes-Benz is testing future collaborations with partners using its MB.OS and DRIVE AGX Hyperion. Its S-Class model includes level 4 features focused on safety and automated driving.
NVIDIA and Uber will continue supporting companies developing level 4 autonomous software on the NVIDIA DRIVE platform. Current partners include Avride, May Mobility, Momenta, Nuro, Pony.ai, Wayve, and WeRide.
In trucking, Aurora, Volvo Autonomous Solutions and Waabi are developing level 4 autonomous trucks using the NVIDIA DRIVE platform. Their systems, built on NVIDIA DRIVE AGX Thor, will support Volvo’s L4 fleet and extend NVIDIA AI technology from passenger vehicles to long-haul trucking.
NVIDIA DRIVE AGX Hyperion 10: The Common Platform for L4-Ready Vehicles
The NVIDIA DRIVE AGX Hyperion 10 production platform features the NVIDIA DRIVE AGX Thor system-on-a-chip; the safety-certified NVIDIA DriveOS operating system; a multimodal sensor suite including 14 HD cameras; nine radars, one lidar and 12 ultrasonics; and a board design.
DRIVE AGX Hyperion 10 is a modular platform that can be configured for vehicle and software needs. It includes a sensor suite architecture that helps manufacturers and developers accelerate development and reduce costs. The platform also provides access to NVIDIA’s automotive engineering and safety resources.
DRIVE AGX Hyperion 10 includes two DRIVE AGX Thor systems based on NVIDIA’s Blackwell architecture. Each system provides more than 2,000 FP4 teraflops (1,000 TOPS of INT8) of computing capacity. DRIVE AGX Thor processes data from 360-degree sensors and supports transformer, vision-language-action (VLA), and generative AI models. The platform is intended for level 4 autonomous driving and includes safety and cybersecurity features.
In addition, DRIVE AGX’s scalability and compatibility with existing AV software lets companies integrate and deploy future upgrades from the platform across robotaxi and autonomous mobility fleets via over-the-air updates.
Generative AI and Foundation Models Transform Autonomy
NVIDIA’s autonomous driving approach taps into foundation AI models, large language models and generative AI, trained on trillions of real and synthetic driving miles. These models allow self-driving systems to solve urban driving situations with humanlike reasoning and adaptability.
New reasoning VLA models combine visual understanding, natural language reasoning and action generation to enable human-level understanding in AVs. By running reasoning VLA models in the vehicle, the AV can interpret unpredictable conditions – such as sudden changes in traffic, unstructured intersections and unpredictable human behavior – in real time.
Foretellix is collaborating with NVIDIA to integrate its Foretify Physical AI toolchain with NVIDIA DRIVE for testing and validating these models.
NVIDIA is also releasing the multimodal AV dataset. Comprising 1,700 hours of camera, radar and lidar data across 25 countries, the dataset is designed to bolster development, post-training and validation for driving.
NVIDIA Halos Sets New Standards in Vehicle Safety and Certification
The NVIDIA Halos system delivers safety guardrails from cloud to car, establishing a framework to enable safe autonomous mobility.
The NVIDIA Halos AI Systems Inspection lab, dedicated to AI safety and cybersecurity across automotive and robotics, performs evaluations and oversees the new Halos certified program, ensure products and systems meet all the criteria for physical AI deployments.
Companies such as AUMOVIO, Bosch, Nuro and Wayve are among the inaugural members of the NVIDIA Halos AI System Inspection Lab – first to be accredited by the ANSI Accreditation Board.
Source: NVIDIA
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving. For the fiscal quarter ending in July 2025, the company reported revenue of $46.7B and net income of $26.4B.
About Uber
Uber Technologies Inc. provides ride-hailing, food delivery, freight, and mobility services for consumers, drivers, merchants, and shippers. The company operates across transportation, logistics, food delivery, and enterprise travel sectors. Founded in 2009, Uber is headquartered in San Francisco, CA. In 2024, it reported annual revenue of about $45B.