WeRide is expanding its collaboration with Lenovo to accelerate the large‑scale commercialization of Level 4 autonomous driving worldwide. Starting in 2026, the two companies expect to jointly deploy 200,000 autonomous vehicles, including robotaxis, globally over the next five years, marking one of the industry’s most ambitious efforts to scale autonomous mobility.
The collaboration was announced during Auto China 2026. It will accelerate the development of a global autonomous driving ecosystem, integrating critical elements across technology, computing infrastructure and supply chain to enhance industry-wide cooperation and efficiency. By combining their respective strengths, the two companies will connect key capabilities from cloud to vehicle, accelerating the deployment of physical AI in real-world mobility scenarios.
Autonomous driving is emerging as one of the first large-scale applications of physical AI, bringing intelligent systems into real-world operations. Among its applications, robotaxis have emerged as the most mature commercial use case, bringing tangible benefits to cities and people. By reducing human error, improving fleet efficiency and enabling 24/7 operations, autonomous mobility enhances road safety, transportation accessibility and urban efficiency while laying the foundation for smarter, more sustainable cities.
However, scaling robotaxi services globally remains complex. AVs must perform consistently across varied urban environments, regulatory frameworks and traffic conditions. At the same time, achieving the right balance between high-performance computing, system reliability and cost efficiency is essential to move from pilot deployments to sustainable commercial scale.
To address these challenges, Lenovo and WeRide are advancing a scalable technology foundation for autonomous driving. In July 2025, Lenovo and WeRide jointly launched the HPC 3.0 high-performance computing platform, first deployed in the mass-produced WeRide robotaxi GXR. Built on Lenovo’s L4 autonomous driving domain controller AD1, HPC 3.0 is powered by the Nvidia Drive AGX Thor system-on-chip and delivers over 2,000 TOPS of AI computing power.
The platform meets stringent global regulatory and safety requirements across complex road conditions with its auto-grade design and fully redundant hardware‑software. From a cost perspective, HPC 3.0 reduces autonomous driving suite costs by 50% and lowers total cost of ownership (TCO) by 84% over its lifecycle compared with HPC 2.0, paving the way for large-scale L4 commercial deployment.
Lenovo supports the shift toward large-scale commercialization with its capabilities in vehicle computing, hybrid AI and global supply chain integration. Its AD1 domain controller combines high-performance AI computing with automotive-grade engineering to support stable deployment in complex environments, backed by the company’s global manufacturing and delivery network.
WeRide and Lenovo plan to continue to deepen collaboration on L4 AVs, including autonomous minibuses and sanitation vehicles. By accelerating the integration of autonomous driving into urban mobility and public services, both companies aim to scale intelligent mobility globally and drive the new phase of deployment.
