如何通俗的读懂算力？

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]