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智驾国产芯片格局变化
2025-12-08 15:36
Summary of Conference Call Records Industry Overview - The records focus on the autonomous driving chip landscape in the Chinese automotive industry, highlighting various companies' strategies and developments in self-driving technology and chip utilization. Key Points by Company NIO - NIO's self-driving solution utilizes fully self-developed technology, primarily promoting a world model, but currently lags in effectiveness. The main task for next year is to improve the connectivity rate of the parking-to-parking function and handle complex cases. The Lido and Firefly series are expected to continue using NVIDIA solutions [1][3]. Xpeng Motors - Xpeng's mid-to-high-end models will feature the self-developed Turing chip with a computing power exceeding 1,000 TOPS. The focus is on the iteration of VLA and world models, deeply integrating the BL module. The Turing chip will also be used in the Robotic business line to optimize Robot Taxi efficiency and safety [1][5]. Li Auto - Li Auto's self-developed M100 Schumacher chip is expected to enter mass production in Q2 2026, debuting in high-end models. The AD Max system will feature a mix of M100 and Horizon solutions, while the AD Pro system will continue with Horizon but may upgrade to the G6H version. The algorithm will firmly follow the VOL route [1][5]. Xiaomi - Xiaomi plans to use NVIDIA's 42 series chips in high-end models, while the self-developed Xuanjie O2 chip will be temporarily shelved due to regulatory challenges. The algorithm will be upgraded to address key issues, adopting a structure similar to Tesla's, focusing on world models and language models to solve parking and urban commuting challenges [1][6]. BYD - BYD will upgrade its high-end solutions to NVIDIA's Orin solution, debuting in the Yangwang U8 model. The terminal solution, Tianyi Cloud B1, will have two versions, one continuing with the Orin 3OX low-cost solution and another possibly using Horizon's G6P. BYD plans to significantly adopt the Orin solution and phase out Horizon [1][7]. Chery - Chery's 2026 autonomous driving plan includes multiple tiers. The Falcon 500 series will primarily use Horizon and Qualcomm platforms, while the Falcon 700 series will adopt a dual Orin X platform. The Falcon 900 series will utilize the Sora Ultra platform [1][4][9]. Geely - Geely's autonomous driving layout spans low, mid, and high-end models. Low-end models will mix Black Sesame 1,000 and Horizon Orin chips, while mid-range models will use single and dual Orin X chips. High-end models will feature Soar and dual Soar chips, debuting in flagship models like Zeekr 001 [1][10]. Great Wall Motors - Great Wall's autonomous driving solutions are categorized into low, mid, and high computing power platforms. The low computing power platform will use TI TDA 4VH and Horizon GLM chips, while the mid computing power platform will collaborate with Momenta. The high computing power platform will include dual Orin X and Soar, with Soar expected to replace dual Orin X in 2026 [1][11]. Market Trends - By 2026, companies like BYD, Chery, Geely, and Great Wall, along with joint ventures like Toyota and Volkswagen, are expected to become significant third-party chip purchasers. Volkswagen plans to accelerate its smart vehicle process, heavily adopting Horizon's G6P and G6M solutions [1][12]. Cost Trends - The cost of mid-range platforms, such as BYD's Tianlian B1, is projected to decrease by about 10% in 2026, dropping to around 7,000 yuan. Low-end solutions like Horizon GO6M will see annual hardware cost reductions of 5%-7%. High-end solutions like Orin and Sol are expected to have limited cost reductions, primarily relying on software supplier price drops and increased shipment volumes [1][14][16]. Chip Development - The records indicate a growing trend towards self-developed chips in high-end vehicles to enhance profit margins and optimize resource allocation. In contrast, low-end vehicles will continue to utilize third-party solutions for cost efficiency and quality assurance [1][26]. Conclusion - The autonomous driving sector in China is rapidly evolving, with various companies adopting different strategies for chip development and algorithm integration. The competition is intensifying, particularly in the high-end market, where self-developed solutions are becoming more prevalent.