从底层芯片技术到行业生态协同的全方位展示。 在车展首日， 黑芝麻智能创始人兼 CEO单记章在 发布会 开场演讲中回顾了公司成立八年发展历 程：凭借自研 ISP、NPU两大核心IP，构建了华山系列（辅助驾驶芯片）与武当系列（跨域融合芯 片）两大产品线，并成功登陆港交所成为"智能汽车AI芯片第一股"。过去几年，公司通过A1000 （本土首款车规级高算力芯片）、C1236（全球首款跨域融合芯片）等产品持续突破，2025年推出 的A2000系列更以全景通识高算力设计，率先支持大模型端侧推理，推动AI计算效率再升级。 面向未来，黑芝麻智能将以 "技术创新+开放生态"双轮驱动，聚焦芯片研发，赋能汽车智能化转型。 单记章指出，大模型进入端侧推理时代，计算效率与算法架构成为关键挑战。黑芝麻智能通过优化带 宽性能、探索混合模型架构，致力于突破"算法决定上限"的行业瓶颈。同时，公司立足汽车领域， 向机器人、边缘计算等场景延伸，以全栈技术能力开启智能时代的"计算革命"。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据 IPO早知道消息，黑芝麻智能（2533. HK ）携 旗下明星产品华 ...

从底层芯片技术到行业生态协同的全方位展示。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据 IPO早知道消息，黑芝麻智能（2533. HK ）携 旗下明星产品华山系列、武当系列芯片及其应用展 示，生态合作案例、合作产品及解决方案 等亮相 2025年上海国际车展。 值得注意的是，不久前的 3月31日 ，黑芝麻智能发布了 2024年业绩报告，这也是其成为"智能汽车 AI芯片第一股"后发布的首份年报 —— 财报显示， 2024年黑芝麻智能的营收同比增长至51.8%至 4.74亿元，毛利从2023年的0.77亿元大幅增长152.4%至1.95亿元，毛利率亦从2023年的24.7% 增加超16个百分点至41.1%。 截至目前，黑芝麻智能就旗下 A1000系列芯片和武当C1200系列跨域融合芯片已与超40家车企达成 合作。 财报发出后，多家知名券商纷纷给予黑芝麻智能 "推荐"/"增持"/"优于大市"等评级，以示对黑芝麻 智能长期价值的看好。 某种程度上而言，本次车展有助于黑芝麻智能再一次展现 从底层芯片技术到行业生态协同 的全方位 能力。 在车展首日， 黑芝麻智能创始人兼 C ...

Core Viewpoint - The automotive industry is evolving towards intelligent systems, necessitating a robust foundational support. Companies like Li Auto are proactively investing in their own vehicle operating systems, exemplified by the announcement of the open-source "Li Star Ring OS" by CEO Li Xiang [1][8]. Group 1: Development and Investment - The Li Star Ring OS project was initiated in 2021 with a dedicated research team of 200 people and has accumulated over 1 billion in R&D expenses, with the first deployment of the self-developed operating system expected in 2024 [2][9]. - The CTO of Li Auto, Xie Yan, has a strong background in operating systems, having previously worked at Huawei and Alibaba, which adds credibility to the development of Li Star Ring OS [2][9]. Group 2: Addressing Industry Challenges - The global chip shortage, exacerbated by the pandemic, led to significant delays and price increases for automotive chips, with delivery times extending from one month to six months and prices soaring by 5 to 10 times [5][9]. - Li Auto's self-developed operating system has reduced the adaptation time for new chip models from six months to one month, allowing for greater flexibility in chip selection and alleviating supply chain pressures [6][9]. Group 3: Technological Advancements - The Li Star Ring OS is designed to evolve alongside the smart automotive industry, focusing on four core technological capabilities, including a concept of resource pooling for AI computing power [7][9]. - The operating system incorporates native security mechanisms to address future information security challenges, including data encryption, system integrity protection, and identity authentication [7][9]. Group 4: Open Source Strategy - The official release of the Li Star Ring OS technical white paper marks the formal launch of its open-source initiative, aiming to collaboratively solve industry challenges and innovate together with other stakeholders [8][9]. - Xie Yan emphasized that the open-source approach is not a one-time transaction but a starting point for ongoing collaboration to address future issues in the automotive sector [8][9]. Group 5: Future Directions - Future models from Li Auto will be equipped with the Li Star Ring OS, with some components already utilized in previous models, indicating a gradual integration of the new system [25][9]. - The concept of "computing power pooling" is highlighted as a means to efficiently utilize AI computing resources across various domains within the vehicle, distinguishing it from the "cockpit integration" approach [26][27].