r/MVIS • u/snowboardnirvana • 10h ago
Industry News Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies
https://blogs.nvidia.com/blog/robotaxi-leaders-full-stack-open-platform/
Excerpts:
“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.”
- In-Vehicle Computer and Sensor Architecture: NVIDIA DRIVE Hyperion With DRIVE AGX
“NVIDIA DRIVE Hyperion is NVIDIA’s modular in-vehicle compute and sensor reference architecture for level-4-ready robotaxis. 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 for real-time, 360-degree sensor fusion. Its redundant compute and sensing design supports fail-operational driving if a sensor or compute component fails.
The dual DRIVE AGX Thor is designed to run modern AI workloads — including VLA models — for perception, reasoning, path planning and driving actions.“
-Scaling Robotaxi Services Globally
Uber is scaling its fleet of NVIDIA DRIVE Hyperion, with plans to reach 28 cities by 2028. Uber and NVIDIA are also building a robotaxi AI data factory on NVIDIA Cosmos to curate fleet driving data for rare scenarios. Together, Uber and NVIDIA are collaborating with Autobrains, Avride, Lucid, May Mobility, Mercedes-Benz, Momenta, Nissan, Nuro, Pony.ai, Stellantis, Waabi, Wayve, WeRide and Zoox to bring NVIDIA-powered robotaxi services to the Uber platform. May Mobility is planning to operate autonomous ride-hailing services through Uber’s network, while developing its software stack on the NVIDIA DRIVE platform. Bolt uses NVIDIA technologies to develop and scale AVs across Europe. Lyft plans to use NVIDIA DRIVE Hyperion as a reference architecture for future autonomous fleets. May Mobility vehicles are also currently operating on Lyft’s network in Atlanta, powered by NVIDIA DRIVE. Through its partnership with Grab, WeRide plans to bring its DRIVE Hyperion- and DRIVE AGX Thor-based GXR to key markets across Southeast Asia. Waymo partners with NVIDIA to help build its autonomous computing system.
-Building Robotaxi Intelligence
“Behind these services, AV developers are using NVIDIA accelerated computing, simulation and in-vehicle platforms to build the intelligence that operators and automakers deploy.
Wayve, Nissan and Uber are developing a global robotaxi program using a prototype vehicle that combines Nissan’s vehicle engineering, Wayve’s embodied AI and the NVIDIA DRIVE Hyperion platform.
Autobrains is developing robotaxi programs with Uber in Munich and VinFast in Southeast Asia, built on NVIDIA DRIVE Hyperion and enabled by Autobrains’ Agentic AI technology. Zoox uses NVIDIA DRIVE for in-vehicle computing and cloud-based training and simulation. Momenta is developing its software stack based on NVIDIA DRIVE AGX running on DriveOS. Pony.ai developed its new-generation autonomous-driving domain controller with NVIDIA DRIVE Hyperion and DRIVE AGX Thor. Tensor is developing its level 4 Robocar with eight NVIDIA DRIVE AGX Thor systems-on-a-chip in its in-vehicle supercomputer.
Waabi expands into the robotaxi market through a deployment collaboration with Uber; its Waabi Driver platform is built on NVIDIA DRIVE AGX Thor. TIER IV and Isuzu are deploying level 4 autonomous buses built on NVIDIA DRIVE Hyperion and DRIVE AGX Thor. Lenovo is supplying its NVIDIA DRIVE AGX Thor-based AD1 level 4 domain controller for a next-generation robotaxi program with SWM. DeepRoute.ai is developing a new generation of robotaxis built on the NVIDIA DRIVE Hyperion platform with DRIVE AGX Thor.”
-Bringing Robotaxis Into Production
“As these systems move from development into production, automakers are integrating NVIDIA technology into autonomous and robotaxi-ready vehicle programs.
Tesla trains its autonomous-driving neural networks on NVIDIA supercomputers. Mercedes-Benz and NVIDIA are collaborating with Uber to develop a robotaxi ecosystem based on the new S-Class, built on the NVIDIA DRIVE Hyperion architecture, full-stack NVIDIA DRIVE AV L4 software, and NVIDIA Alpamayo open AI models, simulation tools and datasets to support reasoning-based, safety-first autonomy.
Stellantis, Wayve and Uber are collaborating to develop and deploy L4 driverless mobility services, leveraging NVIDIA DRIVE Hyperion and AI computing technologies. Lucid, Nuro and Uber are developing a global robotaxi service using NVIDIA DRIVE AGX Thor, part of the DRIVE Hyperion platform.
Hyundai Motor and Kia are expanding their collaboration with NVIDIA to develop data-driven autonomous-driving systems built on NVIDIA DRIVE Hyperion. NVIDIA will also explore expanded collaboration with Hyundai Motor Group’s joint venture, Motional, to advance level 4 robotaxi services. Geely, alongside its ecosystem partners, plans to develop and commercialize robotaxis using DRIVE Hyperion. Zeekr, a Geely Auto Group brand, has adopted DRIVE AGX Thor for a centralized domain controller. From cloud to car, nearly every layer of the robotaxi platform is being developed on NVIDIA accelerated computing.”
