蔚来汽车（下称"蔚来"）的芯片公司迎来了首轮融资。 2月26日，蔚来公告，其芯片子公司安徽神玑技术有限公司（下称"神玑公司"）已完成首轮股权融资协 议签署，融资金额超22亿元，投后估值接近百亿元。 本轮投资方既有合肥国投、合肥海恒等地方国有资本，也有IDG资本、中芯聚源、元禾璞华等半导体产 业资本及市场化头部机构。蔚来称，所募资金将主要用于高端车规级芯片的研发与推广，支撑蔚来在自 动驾驶、具身智能等领域的长远布局。 作为蔚来自研芯片体系的核心承载主体，神玑公司成立于2025年6月，主营高性能车规级芯片研发与应 用推广。其核心产品神玑NX9031芯片是蔚来投入大量资金和人力研发而成。据李斌透露，神玑NX9031 的研发成本差不多相当于建设1500座换电站。若按照一座换电站200万至300万元计算，其芯片研发成本 在30亿至45亿元。 李斌还透露，神玑"大约可为每辆车带来1万元的成本优势"，若按蔚来主品牌去年17.9万辆销量测算， 在不计后续研发费用、且不对外供货的情况下，前期投入需两至三年才能收回。 目前，该芯片搭载与蔚来品牌的全系车型上，自2024年投产以来累计出货已超15万套。 据蔚来此次公告，交易完成后， ...

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.