WeRide, Lenovo target 200,000 autonomous vehicle rollout in global push for Robotaxi scale
The agreement will focus on accelerating the rollout of Level 4 autonomous driving systems, including robotaxis, beginning in 2026
27 April, 2026
TT
16
Autonomous driving company WeRide and technology group Lenovo have expanded their collaboration to jointly deploy 200,000 autonomous vehicles globally over the next five years, in one of the industry’s most ambitious commercial scaling plans, the companies said on Sunday.
Announced at Auto China 2026, the agreement will focus on accelerating the rollout of Level 4 autonomous driving systems, including Robotaxis, beginning in 2026.
The companies said the collaboration is aimed at building an end-to-end autonomous driving ecosystem spanning computing infrastructure, vehicle systems and supply chains, as the sector moves from pilot projects to large-scale commercial deployment.
“Autonomous driving is entering a critical phase of commercial deployment, with industry competition shifting from pure technological capability to cost efficiency and scalable deployment,” said Dr Tony Han, founder and CEO of WeRide.
The companies said they plan to integrate capabilities from cloud to vehicle systems to support what they describe as “Physical AI” applications in real-world mobility.
WeRide operates or tests autonomous vehicles in 12 countries
WeRide said it currently operates or tests autonomous vehicles across more than 40 cities in 12 countries, giving it one of the widest geographic footprints in the sector. Lenovo contributes computing infrastructure, automotive-grade systems and global manufacturing capabilities.
Read: WeRide’s Robotaxi secures autonomous driving permit in Saudi Arabia
A key component of the partnership is the HPC 3.0 high-performance computing platform, jointly launched in 2025 and already deployed in WeRide’s Robotaxi GXR fleet.
The platform is based on Lenovo’s L4 autonomous driving domain controller AD1 and powered by the NVIDIA DRIVE AGX Thor system-on-chip, delivering more than 2,000 TOPS of AI computing power, the companies said.
They added that the system is designed to meet global safety and regulatory requirements and significantly reduces costs, cutting autonomous driving suite costs by 50 per cent and total cost of ownership by 84 per cent compared with the previous generation.
“Scalability is the defining challenge for autonomous driving, and computing is the foundation,” said Peter Xu, vice president and general manager of vehicle computing at Lenovo.
Robotaxis are seen by the companies as the most commercially advanced use case for autonomous driving, with potential to improve road safety, reduce operational costs and increase transport efficiency through 24-hour operation.
However, they acknowledged that global deployment remains complex due to differing regulatory frameworks, urban environments and traffic conditions.
Looking ahead, the companies said they will expand cooperation into additional autonomous vehicle applications, including minibuses and sanitation vehicles, as they seek to broaden the commercial use of autonomous systems in urban mobility and public services.




















