Wenyan Zhixing (00800) and Lenovo (00992) deepen their global strategic cooperation, with plans to deploy 200,000 autonomous vehicles in the next five years.

date
18:15 24/04/2026
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GMT Eight
Both parties expect to deploy 200,000 Robotaxi and other self-driving vehicles worldwide within the next five years.
On April 24th, WeRide (NASDAQ: WRD, HKEX: 0800), a leading global autonomous driving technology company, and LENOVO GROUP announced a further upgrade to their global strategic cooperation. Building on existing collaborations, the two parties expect to deploy 200,000 Robotaxi and other autonomous driving vehicles globally within the next five years, accelerating the commercialization of L4 level autonomous driving on a large scale. This upgraded cooperation will accelerate the establishment of a global autonomous driving ecosystem cooperation network, bridging key technological, computing, and supply chain links to enhance industry collaboration efficiency. WeRide is the global leader in autonomous driving technology with operations in 12 countries and over 40 cities, developing, testing, and operating advanced technologies and mature commercial capabilities. Leveraging its exceptional heterogeneous computing capabilities, as well as a global manufacturing and supply chain system, LENOVO provides stable and scalable computing infrastructure and systems engineering capabilities for large-scale vehicle fleets. The integration of the strengths of both parties will bridge key links from the cloud to the vehicle, accelerating the full-scale deployment of Physical AI in real travel scenarios. As the core foundation for the large-scale deployment of Robotaxi, the two parties will jointly release the HPC 3.0 high-performance computing platform in July 2025, marking the introduction of the new generation of mass-produced Robotaxi GXR by WeRide. HPC 3.0, based on LENOVO's L4-level autonomous driving domain controller AD1, equipped with a dual-core NVIDIA DRIVE AGX Thor, will provide over 2000 TOPS of AI computing power. With a highly integrated system architecture and vehicle-grade design, HPC 3.0 has established a full redundancy safety system that can adapt to various complex global road conditions and extreme scenarios, promoting the transition of L4 autonomous driving from engineering deployment to large-scale application. While ensuring performance and safety, HPC 3.0 has also sparked a cost revolution, reducing the cost of autonomous driving kits by 50% and lowering the total cost of ownership (TCO) of the platform by 84%, removing cost barriers for the large-scale commercial deployment of Robotaxi. Dr. Han Xu, founder and CEO of WeRide, stated, "Autonomous driving is entering a critical stage of commercial deployment, and industry competition is shifting from technological capabilities to cost efficiency and scalable deployment capabilities. This upgraded cooperation will further integrate the core strengths of both parties in autonomous driving systems and computing platforms to provide solid support for the expected deployment of 200,000 autonomous driving vehicles globally within the next five years." Mr. Xu Liang, Vice President of LENOVO GROUP and head of vehicle computing, said, "Autonomous driving needs to solve the scalability challenge, and computing foundations are key. LENOVO will continue to refine and iterate vehicle-grade computing platforms, leveraging our strengths in global supply chain and manufacturing to provide the industry with replicable and large-scale deployable foundational capabilities. By deepening cooperation with WeRide and jointly accelerating, we will enable Robotaxi to land faster and more effectively globally." In the future, the two parties will continue to deepen collaboration around the L4 level autonomous driving platform, expanding cooperation to diverse product forms such as autonomous driving minibuses and autonomous driving sanitation vehicles, promoting the deepening application of autonomous driving in urban transportation and public service scenarios, and continuously expanding the global deployment boundaries.