On April 24, Lenovo Group (联想集团) and WeRide (文远知行) signed an upgraded global strategic cooperation agreement at the 2026 Beijing International Automotive Exhibition (2026北京国际车展).
Ken Wong (黄建恒), President of Lenovo Solutions and Services Group (SSG), and Tony Han (韩旭), CEO of WeRide (文远知行), attended the signing ceremony. Building on their prior collaboration, the two parties announced a plan to jointly deploy 200,000 L4 autonomous vehicles, such as Robotaxis, worldwide over the next five years. Achieving this goal would mark the formal transition of autonomous driving from laboratory testing into a period of large-scale commercialization.
As the core foundation for this massive deployment, the jointly developed HPC 3.0 high-performance computing platform has already been integrated into WeRide’s (文远知行) next-generation mass-produced model, the GXR. The platform is based on Lenovo Vehicle Computing’s AD1 domain controller and features dual NVIDIA DRIVE Thor chips, providing a top-tier AI computing power of over 2,000 TOPS. HPC 3.0 not only achieves a fully redundant safety design in both hardware and software but also reduces the cost of autonomous driving kits by 50% through automotive-grade large-scale integration. Furthermore, the Total Cost of Ownership (TCO) over the vehicle's lifecycle has been reduced by 84%, clearing the final financial hurdles for Robotaxis to achieve commercial profitability.
WeRide (文远知行) currently conducts regular operations in over 40 cities across 12 countries, while Lenovo (联想) contributes its global heterogeneous computing foundation, manufacturing facilities, and supply chain systems. Both parties indicated that future cooperation will expand from Robotaxis to diverse scenarios such as autonomous minibuses and street sweepers. Xu Liang (许亮), Vice President of Lenovo Group (联想集团), stated that Lenovo’s (联想) global delivery capabilities will ensure that WeRide’s (文远知行) algorithms can quickly adapt to complex road conditions in regions like Europe, the US, and the Middle East, achieving the full-scale implementation of "embodied intelligence" in real-world global travel scenarios.