文远知行HPC 3.0高性能计算平台
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广州黄埔,24小时任意点到点,纯无人驾驶商业运营来了
Nan Fang Du Shi Bao· 2025-09-05 15:25
Core Insights - The article highlights the launch of the first 24-hour fully autonomous Robotaxi service in Guangzhou's Huangpu District by WeRide, marking a significant milestone in the commercialization of autonomous driving in urban settings [2][4]. Group 1: Robotaxi Features and Technology - The WeRide GXR Robotaxi is designed specifically for urban travel, featuring Level 4 (L4) autonomous driving capabilities for public road operations [4]. - It is equipped with the NVIDIA DRIVE Thor X chip, enabling over 20 trillion calculations per second, and the Sensor Suit 5.6, which allows it to operate in adverse weather conditions [4][5]. - The vehicle includes a robust redundancy system across its architecture, control chassis, and braking systems, ensuring safe and reliable operation in complex traffic environments [5]. Group 2: User Experience and Design - The GXR offers a spacious interior designed for five passengers, with features such as a dedicated luggage area, VIP seating, voice-controlled sliding doors, and remote climate control via an app [5]. - User feedback indicates that the vehicle's design enhances the overall travel experience, making it convenient and comfortable for passengers [5]. Group 3: Operational Milestones and Expansion - WeRide's transition from human-driven to fully autonomous operations took only 11 months, from the launch of the new GXR model to obtaining necessary operational licenses [5]. - The Robotaxi service covers approximately 145 square kilometers in Huangpu, with plans for expansion to key landmarks and transportation hubs in Guangzhou by May 2025 [7]. - The company has been operating its Robotaxi service for over 2,200 days, establishing a "Guangzhou model" for global expansion in autonomous vehicle commercialization [7]. Group 4: Industry Context and Future Outlook - The autonomous driving industry is shifting from a focus on technological competition to a phase of commercial validation, with WeRide's cost reductions and real-world data accumulation being critical to its business model [7].
文远知行携手联想,全球首发搭载NVIDIA DRIVE Thor芯片的100%车规级HPC 3.0计算平台
Ge Long Hui· 2025-07-21 11:31
Core Insights - WeRide has launched the HPC 3.0 high-performance computing platform in collaboration with Lenovo, featuring NVIDIA's latest DRIVE Thor X chip, making the GXR the world's first Robotaxi equipped with this technology [1][9] - The HPC 3.0 platform significantly reduces the cost of the autonomous driving suite by 50% and lowers the production cost to one-fourth of the previous generation, enabling large-scale commercial applications [3][8] - The platform has achieved multiple automotive certifications and is designed for extreme environments, ensuring reliability and longevity, with a lifespan of 10 years or 300,000 kilometers [7][9] Cost and Performance - The HPC 3.0 platform offers 2,000 TOPS AI computing power and integrates various functionalities, leading to an 84% reduction in total lifecycle cost (TCO) compared to its predecessor [3][7] - The platform's design includes redundancy and meets ASIL-D safety requirements, with a failure rate of less than 50 FIT and a mean time between failures (MTBF) of 120,000 to 180,000 hours [7][8] Strategic Partnerships - The collaboration with Lenovo and NVIDIA marks a significant step towards the standardization and scalability of L4 autonomous driving technology, showcasing the integration of advanced AI with the transportation industry [8][9] - NVIDIA has been a strategic investor in WeRide since 2017, facilitating the development of L4 autonomous driving systems that leverage NVIDIA's accelerated computing [9][12] Future Outlook - WeRide plans to extend the application of the HPC 3.0 platform to other L4 autonomous products, such as minibuses and sanitation vehicles, aiming to enhance urban mobility and service a broader customer base [8][12] - The company has been operating its Robotaxi safely on public roads for over 2,000 days, positioning itself as a leader in the commercialization of autonomous driving [12]