Overview

Lenovo Drives L4 Autonomy with NVIDIA

AI Summary

Lenovo has developed the L4 Autonomous Driving Domain Controller AD1 built on NVIDIA’s Arm-based DRIVE AGX Thor architecture, to meet global demand for scalable Level 4 autonomy. It delivers over 2,000 TOPS of AI compute and full automotive-grade reliability, reducing system cost by 50% and total cost of ownership (TCO) by 84%. The platform supports a wide range of commercial autonomous mobility solutions, such as WeRide’s mass-produced Level 4 Robotaxi GXR.

Impact

Powerful AI Compute

Over 2,000 TOPS on Arm-based architecture, Dual NVDIA DRIVE AGX Thor

Global-Grade Reliability

Certified to ISO 26262, IATF 16949.

Industrial Leading Product

The first L4 auto-grade autonomous driving DCU.

Autonomous vehicle driving on a highway with sensor visualization showing perception and lane detection.
Technologies Used

Lenovo L4 Autonomous Driving Domain Controller AD1

Lenovo’s AD1 provides a unified, auto-grade, safety-certified environment for Level 4 autonomy. Built on Arm-based compute and applying Lenovo’s expertise in edge computing and system integration, AD1 delivers a single-chip CPU performance of up to 87 on the SPECrate_int2017 benchmark and the platform delivers AI computing power of over 2,000 TOPS. It not only meets the demanding requirements for high-precision perception and decision-making, but also supports flexible computing resource allocation tailored to different scenarios. With its high performance and adaptability, the AD1 excels in complex applications such as robotaxis and unmanned delivery vehicles, providing a solid foundation for the large-scale deployment of autonomous driving.

Lenovo WeRide Main Control Unit (Vehicle main control unit featuring Lenovo, WeRide, and NVIDIA branding for autonomous driving systems.)

NVIDIA DRIVE AGX Thor

The NVIDIA DRIVE AGX Thor, powered by Arm architecture, is the most advanced automotive computing platform to date. Integrated into Lenovo’s AD1 L4 domain controller, Thor consolidates multiple vehicle functions into a single compute unit, including perception, planning, and infotainment. Optimized for generative AI and large-scale vision models, Thor’s Blackwell architecture enhances safety, reduces latency, and accelerates autonomous decision-making in applications such as in WeRide’s Level 4 Robotaxi GXR.

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WeRide (autonomous taxi) autonomous vehicles equipped with sensors, showcasing commercial self-driving mobility solutions.

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Go deeper into how Lenovo and WeRide are moving Level 4 robotaxis from pilot to production using Arm-based compute. Explore the role of HPC 3.0, centralized vehicle architecture, and Arm’s software ecosystem in enabling scalable physical AI.

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