WeRide has announced an expanded partnership with Lenovo at Auto China 2026, signaling a major step toward large-scale commercialization of Level 4 (L4) autonomous driving. The two companies plan to deploy up to 200,000 autonomous vehicles worldwide over the next five years, one of the most ambitious rollouts in the autonomous mobility sector.
The collaboration focuses on building a global autonomous driving ecosystem that connects software, hardware, and supply chain capabilities. By combining WeRide’s autonomous driving platform with Lenovo’s expertise in intelligent computing and manufacturing, the partnership aims to accelerate the transition from pilot programs to full commercial deployment.
Scaling Autonomous Driving Globally
WeRide already operates across more than 40 cities in 12 countries, giving it one of the broadest global footprints in the industry. The company’s commercial experience, paired with Lenovo’s AI computing infrastructure and system engineering capabilities, creates a strong foundation for scaling autonomous vehicle fleets.
At the core of this effort is the push to bring “Physical AI” into real-world mobility. Autonomous driving is widely seen as one of the first large-scale applications of this concept, enabling intelligent systems to operate safely in complex, real-world environments.
Among various use cases, robotaxis remain the most mature. These fully autonomous ride-hailing vehicles offer clear benefits, including improved road safety, reduced human error, 24/7 availability, and more efficient urban transportation systems.
The Challenge of Commercialization
Despite rapid technological progress, scaling robotaxi services globally remains a complex challenge. Autonomous systems must operate reliably across different traffic conditions, infrastructure, and regulatory environments. At the same time, cost efficiency is critical to moving beyond small pilot fleets.
To address these hurdles, WeRide and Lenovo are focusing heavily on computing performance, system redundancy, and cost reduction.
HPC 3.0: Cutting Costs, Boosting Performance
A key milestone in the partnership is the launch of the HPC 3.0 high-performance computing platform. Built on Lenovo’s AD1 autonomous driving domain controller and powered by NVIDIA DRIVE AGX Thor system-on-chip, the platform delivers more than 2,000 TOPS of AI computing power.
HPC 3.0 has already been deployed in the WeRide Robotaxi GXR and is designed to meet strict global safety and regulatory standards. Its fully redundant hardware-software architecture ensures reliability in complex driving scenarios.
Just as importantly, the platform significantly reduces costs. Compared to its predecessor, HPC 2.0, it cuts the cost of autonomous driving systems by 50% and lowers total cost of ownership by 84% over its lifecycle. These improvements are critical for making large-scale L4 deployment economically viable.
Lenovo’s Role in Mass Deployment
Lenovo’s contribution extends beyond computing hardware. The company brings global manufacturing, supply chain integration, and Hybrid AI capabilities to support scalable production and deployment.
Its AD1 domain controller combines automotive-grade engineering with high-performance AI processing, enabling stable operation across diverse environments. Backed by Lenovo’s global logistics network, this infrastructure is designed to support rapid and replicable fleet expansion.
What Comes Next for Autonomous Mobility
The partnership will continue to expand beyond robotaxis into other L4 vehicle categories, including autonomous minibuses and sanitation vehicles. This broader approach highlights the growing role of autonomous systems in both urban mobility and public services.
As competition in the autonomous driving sector shifts from pure technological capability to scalability and cost efficiency, collaborations like this are expected to play a defining role. The planned deployment of 200,000 autonomous vehicles could mark a turning point, moving L4 autonomy closer to widespread, real-world adoption.
[source: WeRide]
