Jensen Huang: The Autonomous Driving Revolution Has Arrived, BYD, Geely, Nissan, and Isuzu Huddle Together with NVIDIA

2026-03-21 00:31:59

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（Source: NetEase Smart）

March 17 News, NVIDIA announced today that the adoption of its NVIDIA DRIVE Hyperion™ platform continues to expand, with global automakers BYD, Geely, Isuzu, and Nissan, as well as leading mobility service providers, all adopting the platform.

These partners are using the DRIVE Hyperion platform supported by NVIDIA Halos OS security architecture as the standard platform, accelerating validation cycles and simplifying global deployment strategies. By utilizing a standardized reference architecture that integrates computing, sensors, networking, and security systems, automakers and mobility service providers can achieve faster fleet learning and more efficient global scaling.

NVIDIA Founder and CEO Jensen Huang stated, “The revolution of autonomous vehicles has arrived, marking the first trillion-dollar robotics industry. In the future, everything that can move will eventually become autonomous. NVIDIA Hyperion platform and our Alpamayo open inference model empower vehicles to perceive their surroundings, reason through complex scenarios, and make safe decisions, making scalable Level 4 autonomous driving possible.”

DRIVE Hyperion supports the large-scale development of Level 4 vehicle projects and autonomous taxi platforms

Leading automakers BYD, Geely, and Nissan (with Wayve software system) are developing next-generation Level 4 autonomous vehicles based on NVIDIA DRIVE Hyperion, a production-oriented computing and sensor architecture.

Isuzu and TIER IV are using NVIDIA DRIVE Hyperion’s NVIDIA DRIVE AGX Thor™ system-on-chip to jointly develop Level 4 autonomous buses.

Additionally, NVIDIA is working with Amazon to advance Alexa Custom Assistant with multimodal edge AI capabilities on the NVIDIA DRIVE AGX™ accelerated computing platform, enabling automakers to deliver immersive smart cabin experiences while ensuring privacy and enhanced performance.

Uber is building one of the world’s largest autonomous ride-hailing networks based on NVIDIA DRIVE Hyperion. Supported by increasing automaker platform integrations, NVIDIA and Uber announced a deepening partnership, planning to deploy a fleet of fully equipped NVIDIA DRIVE AV software autonomous vehicles in 28 cities across four continents by 2028.

The plan will launch initially in the first half of 2027 in Los Angeles and the San Francisco Bay Area. The DRIVE Hyperion-equipped autonomous fleet will leverage NVIDIA Alpamayo open models and NVIDIA Halos OS to accelerate the development and deployment of safe, scalable autonomous ride-hailing services worldwide.

Mobility service providers like Bolt, Grab, and Lyft are also advancing their autonomous mobility projects based on NVIDIA DRIVE Hyperion, indicating the industry’s move toward building software-defined autonomous vehicle fleets.

Built on NVIDIA’s full-stack software safety approach, NVIDIA DRIVE OS provides a universal safety foundation for scalable, production-ready autonomous driving solutions based on DRIVE Hyperion.

Halos OS is built on the DriveOS architecture, compliant with ISO 26262 ASIL D automotive safety integrity level standards. Its unified three-layer safety architecture integrates safety middleware and production-deployable safety applications, including a five-star NCAP-rated active safety stack that provides safety barriers for inference AI systems, ensuring they operate at verified automotive-grade integrity for scalable deployment.

To continuously validate and support a high-standard autonomous vehicle safety ecosystem, NVIDIA’s Halos AI system testing lab has welcomed AEye, Flex, Gatik, Hesai, Lucid, MIRA, PlusAI, Qt Group, Saphira, and Valeo.

Furthermore, NVIDIA today officially released Alpamayo 1.5, a major upgrade expanding the NVIDIA Alpamayo series—a set of open products including AI models, simulation frameworks, and physical AI datasets designed for building safe, transparent inference-based assisted driving vehicles. This upgrade introduces interactive and controllable inference models. (Cui Yuxian)

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