Global Finance News
11 Sep 2026, 15:41
NVIDIA Says Its AI Platform Is Powering the Global Robotaxi Expansion
NVIDIA is expanding its role in autonomous transportation as robotaxi developers, mobility platforms and automakers increasingly adopt the company’s computing technologies to train, simulate and operate driverless vehicles. NVIDIA says every major robotaxi program currently operating at commercial scale uses at least part of its modular technology stack.
The platform combines three major computing layers: NVIDIA DGX systems for AI model training, Omniverse and Cosmos running on RTX PRO servers for simulation and validation, and DRIVE Hyperion with DRIVE AGX Thor for in-vehicle computing. DRIVE Hyperion 10 uses dual Blackwell-based DRIVE AGX Thor chips alongside cameras, radar, lidar and ultrasonic sensors to provide 360-degree perception and redundant computing.
NVIDIA’s ecosystem now spans many of the biggest names in autonomous mobility. Uber plans to scale NVIDIA DRIVE Hyperion-based robotaxis to 28 cities by 2028 and is working with companies including Lucid, Mercedes-Benz, Nuro, Pony*ai, Wayve and WeRide. Lyft, Bolt, May Mobility and Waymo are also using or working with NVIDIA technologies.
Automakers including Mercedes-Benz, Stellantis, Hyundai, Kia, Geely and Zeekr are also integrating NVIDIA technology into autonomous-driving programs, while Tesla uses NVIDIA supercomputers to train its autonomous-driving neural networks.
The expansion positions NVIDIA to capture computing demand beyond data centers as physical AI moves toward commercial deployment in transportation.
NVIDIA is expanding its role in autonomous transportation as robotaxi developers, mobility platforms and automakers increasingly adopt the company’s computing technologies to train, simulate and operate driverless vehicles. NVIDIA says every major robotaxi program currently operating at commercial scale uses at least part of its modular technology stack.
The platform combines three major computing layers: NVIDIA DGX systems for AI model training, Omniverse and Cosmos running on RTX PRO servers for simulation and validation, and DRIVE Hyperion with DRIVE AGX Thor for in-vehicle computing. DRIVE Hyperion 10 uses dual Blackwell-based DRIVE AGX Thor chips alongside cameras, radar, lidar and ultrasonic sensors to provide 360-degree perception and redundant computing.
NVIDIA’s ecosystem now spans many of the biggest names in autonomous mobility. Uber plans to scale NVIDIA DRIVE Hyperion-based robotaxis to 28 cities by 2028 and is working with companies including Lucid, Mercedes-Benz, Nuro, Pony*ai, Wayve and WeRide. Lyft, Bolt, May Mobility and Waymo are also using or working with NVIDIA technologies.
Automakers including Mercedes-Benz, Stellantis, Hyundai, Kia, Geely and Zeekr are also integrating NVIDIA technology into autonomous-driving programs, while Tesla uses NVIDIA supercomputers to train its autonomous-driving neural networks.
The expansion positions NVIDIA to capture computing demand beyond data centers as physical AI moves toward commercial deployment in transportation.
