NVIDIA blog: robotaxi leaders building on its full-stack platform

10 Sep 2026: NVIDIA published that its modular robotaxi pipeline — training, simulation/validation, and in-vehicle compute — is being adopted across commercial-scale robotaxi programs, naming Uber, Waymo, Zoox, Mercedes-Benz, and others. Company blog is the primary. Market-size and performance figures stay NVIDIA’s.

10 Sep 2026: NVIDIA published “Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies.” The post frames a three-computer robotaxi stack: NVIDIA DGX for training, NVIDIA Omniverse and Cosmos for simulation and validation on RTX PRO Servers, and NVIDIA DRIVE Hyperion with DRIVE AGX for in-vehicle compute. That dated NVIDIA blog is the filing event.

NVIDIA’s claim on the same page: every major robotaxi program operating at commercial scale today is running on NVIDIA’s modular stack, spanning AI training, simulation, in-vehicle computing — or a combination of the three. That is NVIDIA’s framing, not an independent audit of each fleet.

Named ecosystem examples on the page include Uber (DRIVE Hyperion fleet-scaling plans; a robotaxi AI data factory on Cosmos; a named collaborator list), Waymo (partners with NVIDIA on autonomous computing), Zoox (DRIVE for in-vehicle compute plus cloud training and simulation), plus May Mobility, Lyft, Bolt, WeRide, Momenta, Pony.ai, Waabi, DeepRoute.ai, and automaker programs (Mercedes-Benz, Stellantis, Lucid/Nuro, Hyundai/Kia, Geely/Zeekr, and others). Treat those as NVIDIA’s partnership framing — not independent verification of each deployment.

DRIVE Hyperion 10 is described as dual NVIDIA DRIVE AGX Thor systems-on-a-chip (Blackwell) with a listed sensor suite — 14 high-definition cameras, nine radars, three lidars, and 12 ultrasonics — for real-time 360-degree sensor fusion. NVIDIA Halos is cited as the safety and validation framing (Halos OS plus a broader inspection, simulation, and continuous-testing framework). Those descriptions are NVIDIA’s.

The same post projects the global robotaxi market at $400 billion by 2035, with more than 6 million commercial vehicles in operation. That is NVIDIA’s outlook — not a measured current fleet count.

A dated NVIDIA primary consolidates the commercial robotaxi stack pitch — named operators and OEMs on training, sim, and DRIVE Hyperion — so readers can see who NVIDIA says is shipping on which layer. Scale and market numbers stay the company’s claims.