12月22日，位于江汉区万松街道一栋现代化写字楼的恒生电子（武汉）有限公司内（以下简称恒生武汉），键盘敲击声与低声讨论此 起彼伏。数百名研发人员紧盯屏幕，正在进行金融交易系统的测试与优化。这里是恒生电子在杭州之外的第二个研发总部。据介绍，自 2023年8月17日武汉总部揭牌以来，公司团队也超过800人，其中近八成都是在武汉引进的。 2023年，恒生电子在江汉区注册成立武汉公司并投入运营。这不是恒生与武汉的初次结缘，早在1995年公司成立之初，恒生就已为武 汉的金融机构提供服务；2006年，恒生电子武汉研发中心成立，是其在杭州之外最早设立的外地研发中心。而将研发中心升级为第二总 部，则意味着与武汉更深度的绑定与更宏大的布局。 据了解，恒生武汉目前800余人的团队中，只有200人是从杭州总部来到武汉，其余的都是在武汉引进的人才。倪守奇表示，公司未来 三年将扩张到2000人，将以武汉本地招聘为主。 走进武汉恒生数智科技有限公司（以下简称恒生数智）的办公区，年轻的面孔占据主流。"我们每年校招的主要目标就是武汉高校 圈。"恒生数智总经理阚晓晖介绍。 如今，恒生电子已将武汉公司定位为"以研发为主的总部平台"，来自武汉团队 ...

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]