北京格灵深瞳信息技术股份有限公司2025 年半年度报告 公司代码：688207 公司简称：格灵深瞳 北京格灵深瞳信息技术股份有限公司 北京格灵深瞳信息技术股份有限公司2025 年半年度报告 重要提示 一、 本公司董事会、监事会及董事、监事、高级管理人员保证半年度报告内容的真实性、准确 性、完整性，不存在虚假记载、误导性陈述或重大遗漏，并承担个别和连带的法律责任。 二、 重大风险提示 具体详见本报告"第三节 管理层讨论与分析"之"四、风险因素"。 三、 公司全体董事出席董事会会议。 四、 本半年度报告未经审计。 五、 公司负责人赵勇、主管会计工作负责人吴梦及会计机构负责人（会计主管人员）杜家芳声 明：保证半年度报告中财务报告的真实、准确、完整。 六、 董事会决议通过的本报告期利润分配预案或公积金转增股本预案 无。 七、 是否存在公司治理特殊安排等重要事项 □适用 √不适用 八、 前瞻性陈述的风险声明 √适用 □不适用 本报告所涉及的公司未来计划、发展战略等前瞻性陈述，不构成公司对投资者的实质承诺， 请投资者注意投资风险。 九、 是否存在被控股股东及其他关联方非经营性占用资金情况 否 十、 是否存在违反规定决策程 ...

Group 1 - The article discusses the different types of computing power: General-Purpose Computing Power (通算), Scientific Computing Power (科算), Intelligent Computing Power (智算), and AI Computing Power (AI计算), each serving distinct functions in data processing and analysis [4][5][6][7] - General-Purpose Computing Power is suitable for everyday tasks like office work and internet browsing, while Scientific Computing Power is specialized for complex scientific calculations [4][5] - Intelligent Computing Power is designed for training and running AI models, efficiently handling large datasets, and adapting strategies for various AI applications [6][7] Group 2 - The article highlights the increasing complexity of problems requiring higher precision and efficiency in computing, leading to a reevaluation of traditional methods like simply adding more processing cores [9][10] - It discusses the limitations of Moore's Law, which states that the number of transistors on a chip doubles approximately every two years, and how this trend is slowing down due to challenges like stability, heat dissipation, and rising costs [10][11][12] - Engineers are exploring innovative methods to enhance computing power, such as advancing manufacturing processes, utilizing 3D IC technology, and designing specialized chips for specific tasks [13][14] Group 3 - The development of computing power is described as a complex system involving various components, including hardware, software, and ecosystem support [15][20] - Hardware components like CPUs, GPUs, and AI chips are likened to the building blocks of a structure, while software serves as the connective tissue that enables functionality [16][19] - The article emphasizes the importance of a supportive ecosystem, including government policies and industry collaboration, to foster a robust computing environment [21] Group 4 - The global computing market is projected to reach $200 billion by 2029, with the AI computing market expected to grow to $90 billion at a 10% annual growth rate, significantly outpacing general computing [22][23] - In China, the computing market is also expected to grow, with general computing projected to reach $41.7 billion and AI computing to reach $23.8 billion by 2029 [23] - China's computing capacity is expected to reach 369.5 EFLOPS by 2025, reflecting a 26% year-on-year growth, indicating a strong national computing capability [24][25]