Nvidia · NVIDIA Blog
Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies
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The global robotaxi market, physical AI’s first commercial breakthrough, is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world’s busiest and most complex streets.
Key facts
- The global robotaxi market, physical AI’s first commercial breakthrough, is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets
- DRIVE Hyperion 10 pairs dual NVIDIA DRIVE AGX Thor systems-on-a-chip, built on the NVIDIA Blackwell platform, with 14 high-definition cameras, nine radars, three lidars and 12 ultrasonics
- NVIDIA DRIVE Hyperion is NVIDIA’s modular in-vehicle compute and sensor reference architecture for level-4-ready robotaxis
- NVIDIA’s robotaxi ecosystem spans every region where commercial robotaxi services are emerging today: Asia, Europe, the Middle East and North America
Summary
Meeting those demands requires enormous amounts of compute across the robotaxi development lifecycle, from preparing and training AI models to simulating and validating driving behavior, as well as real-time processing in the vehicle. NVIDIA provides an open platform for AI training, simulation and safety validation, with libraries, software development kits, workflows and models that developers can use alongside their own technology stacks. 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, to develop and deploy fleets at scale.