NVIDIA has announced rapid expansion of its autonomous vehicle ecosystem, with major automakers and mobility platforms adopting the NVIDIA DRIVE Hyperion platform to accelerate the development of safe, scalable autonomous vehicles.
Global manufacturers including BYD, Geely, Isuzu and Nissan are integrating the platform into next-generation autonomous drive programs, highlighting growing momentum for Level 4 autonomy.
The standardized architecture is designed to streamline development and speed up deployment of self-driving systems worldwide.
A Standardized Platform for Autonomous Vehicle Development
At the center of this push is NVIDIA DRIVE Hyperion, a comprehensive reference architecture that integrates high-performance computing, sensors, networking and safety systems into a single platform.
By standardizing on the platform — powered by the NVIDIA Halos OS safety architecture — automakers and mobility providers can significantly reduce development complexity. The system allows partners to accelerate validation cycles, improve fleet learning and scale autonomous technology globally.
According to Jensen Huang, founder and CEO of NVIDIA, the industry is approaching a major transformation.
“The autonomous vehicle revolution is here — the first multitrillion-dollar robotics industry. Everything that moves will eventually be autonomous,” Huang said.
The platform works alongside NVIDIA’s Alpamayo open reasoning models, enabling vehicles to perceive their surroundings, reason through complex traffic scenarios and respond safely — key capabilities needed for scalable Level 4 autonomous driving.
Automakers Building Next-Generation Level 4 Vehicles
Several leading automakers are already using the platform for production-ready Level 4 autonomous vehicle programs.
BYD, Geely and Nissan are developing next-generation autonomous vehicles built on the DRIVE Hyperion compute and sensor architecture.
In Nissan’s case, the system will operate alongside software from Wayve to support advanced AI-driven autonomy.
Meanwhile, Isuzu is collaborating with TIER IV on an autonomous bus program powered by the NVIDIA DRIVE AGX Thor system-on-a-chip — a next-generation computing platform designed specifically for autonomous vehicles.
These initiatives highlight how the platform is moving from experimental development to real-world deployment.
Uber Plans Global Robotaxi Fleet Powered by NVIDIA
Autonomous ride-hailing is another area seeing rapid progress. Uber is working with NVIDIA to build one of the world’s largest robotaxi networks powered by the DRIVE Hyperion platform. The expanded partnership aims to launch autonomous ride-hailing services across 28 cities on four continents by 2028.
The rollout is expected to begin in Los Angeles and the San Francisco Bay Area in the first half of 2027.
These vehicles will run the full-stack NVIDIA DRIVE AV software, leveraging Alpamayo AI models and the Halos operating system to enable safe and scalable robotaxi services.
Other mobility platforms such as Bolt, Grab and Lyft are also exploring the platform to accelerate autonomous ride-hailing development.
Expanding Safety Infrastructure for Autonomous Vehicles
Safety remains a core focus of NVIDIA’s autonomous ecosystem. The NVIDIA Halos OS builds on ASIL-D certified DriveOS foundations and introduces a three-layer safety architecture designed for production-scale autonomy. The platform integrates safety middleware, deployable safety applications and an NCAP five-star active safety stack to ensure autonomous systems operate with automotive-grade reliability.
To strengthen testing and validation, companies including AEye, Flex, Gatik, Hesai, Lucid Motors, PlusAI, Qt Group and Valeo have joined the NVIDIA Halos AI Systems Inspection Lab.
This collaboration aims to ensure the entire autonomous vehicle stack — from sensors to AI models — meets rigorous safety standards.
The Road to Scalable Autonomous Mobility
With automakers, robotaxi operators and technology companies aligning around a standardized platform, NVIDIA is positioning DRIVE Hyperion as a cornerstone for the next phase of autonomous mobility.
As Level 4 programs move from development to deployment, the combination of advanced AI models, high-performance compute and integrated safety systems could significantly accelerate the global rollout of autonomous vehicles.
