GTC—NVIDIA announced that NVIDIA DRIVE Hyperion™ platform adoption is growing expansively, including with global automakers BYD, Geely, Isuzu and Nissan, as well as leading mobility providers — reflecting rapid momentum toward safe, scalable autonomous vehicle (AV) development.
Standardizing on DRIVE Hyperion — supported by the NVIDIA Halos OS safety architecture — enables these partners to accelerate validation cycles and streamline global deployment strategies. By using a standardized reference architecture that integrates compute, sensors, networking and safety systems, manufacturers and mobility leaders can achieve faster fleet learning and more efficient global scaling.
“The autonomous vehicle revolution is here — the first multitrillion-dollar robotics industry,” said Jensen Huang, founder and CEO of NVIDIA. “Everything that moves will eventually be autonomous. The NVIDIA Hyperion platform and our Alpamayo open reasoning models give vehicles the ability to perceive their surroundings, reason through complex situations and act safely — making scalable, level 4 autonomy possible.”
DRIVE Hyperion Scales L4 Vehicle Programs and Robotaxi Platforms
Leading automakers BYD, Geely and Nissan (powered by Wayve software) are developing next-generation level 4 AV programs built on NVIDIA DRIVE Hyperion production-ready compute and sensor architecture.
Isuzu and TIER IV are also collaborating on L4 autonomous bus development using the NVIDIA DRIVE AGX Thor™ system-on-a-chip, part of NVIDIA DRIVE Hyperion.
In addition, NVIDIA is collaborating with Amazon to advance Alexa Custom Assistant with multimodal edge AI capabilities on NVIDIA DRIVE AGX™ accelerated compute, enabling automakers to deliver ambient in-cabin intelligence with privacy in mind and enhanced performance.
Uber is building one of the world’s most expansive autonomous ride-hailing networks powered by NVIDIA DRIVE Hyperion. Supported by a growing roster of automaker platforms, NVIDIA and Uber today announced an expanded partnership to launch a fleet of autonomous vehicles entirely powered by the full-stack NVIDIA DRIVE AV software across 28 cities and four continents by 2028.
The rollout will begin with Los Angeles and the San Francisco Bay Area in the first half of 2027. This DRIVE Hyperion-powered fleet will tap into NVIDIA Alpamayo open models and the NVIDIA Halos operating system to accelerate the development and deployment of safe, scalable robotaxi services worldwide.
Other mobility leaders including Bolt, Grab and Lyft are also leveraging NVIDIA DRIVE Hyperion to accelerate autonomous mobility initiatives, signaling broader industry momentum toward software-defined robotaxi fleets.
Advancing Level 4 Hardware
Extending NVIDIA DRIVE’s full-stack approach to software safety, NVIDIA Halos OS delivers a universal safety foundation for production-ready, scalable autonomy on DRIVE Hyperion.
Built on ASIL D-certified DriveOS foundations, its unified, three-layer safety architecture integrates safety middleware and deployable safety applications — including an NCAP five-star active safety stack to provide the guardrails that enable reasoning-based AI systems to operate with verifiable, automotive-grade integrity at scale.
To continuously validate and support the rigorous AV safety ecosystem, AEye, Flex, Gatik, Hesai, Lucid, MIRA, PlusAI, Qt Group, Saphira and Valeo are joining the NVIDIA Halos AI Systems Inspection Lab.
NVIDIA Alpamayo 1.5: A Reasoning Engine and Steerable Driving Model
In addition, NVIDIA today introduced Alpamayo 1.5, a major upgrade that expands NVIDIA Alpamayo — an open portfolio of AI models, simulation frameworks and physical AI datasets for building safe, transparent, reasoning-based AVs — with an interactive, steerable reasoning model.
Building on the Alpamayo 1 model, Alpamayo 1.5 takes driving video, ego-motion history, navigation guidance and natural language prompts as inputs. Then, it outputs driving trajectories with reasoning traces. This enables developers to steer behavior and specify constraints directly through navigation and text prompts.
Alongside Alpamayo 1.5, the Alpamayo portfolio now includes post-training scripts to enable model adaptation for researchers and developers. Since launching earlier this year, Alpamayo has already been downloaded by more than 100,000 automotive developers worldwide.
With Alpamayo 1.5, vehicles can more effectively learn from rare or unpredictable events — such as unusual road hazards and complex human behavior — by replaying scenarios, querying model decisions and applying updated behavioral guidance through prompts and navigation settings.
The model also adds flexible multi-camera support and configurable camera parameters, simplifying reuse of the same AI driving stack across vehicle lines and sensor configurations while preserving compatibility with existing Alpamayo integrations.
Accelerate Reasoning AV Development With NVIDIA Omniverse NuRec
Testing and validating reasoning-based AVs requires high-fidelity simulation that covers the diversity of real-world driving. NVIDIA Omniverse NuRec is a set of 3D Gaussian Splatting technologies that ingest real-world data to reconstruct and render interactive simulation.
NuRec will be generally available on the NVIDIA NGC catalog, helping AV developers stress-test reasoning behaviors and simulate edge cases without the time and costs of manual worldbuilding.
Leading AV toolchain providers such as 51WORLD, dSPACE and Foretellix have integrated NuRec into their simulation solutions. Voxel51 is using NuRec in its Physical AI Workbench for customers such as Porsche Research, while Parallel Domain is using the NuRec Fixer model to enhance its reconstruction pipeline. Mcity, an AV research facility run by the University of Michigan, is using NuRec to build a Gaussian-based digital twin of its physical test track for the AV industry and research community.
Disclaimer: The above press release has been provided by Nvidia . CXO Digital Pulse holds no responsibility for its content in any manner
