未来十年算力总量将增长10万倍！这一产业标准规范来了

Core Viewpoint - The article discusses the unprecedented challenges faced by data center infrastructure due to the explosive growth in computing power demand driven by artificial intelligence (AI) technologies, emphasizing the need for a new generation of Artificial Intelligence Data Centers (AIDC) [1][4]. Group 1: AIDC Development and Standards - The first AIDC Industry Development Conference was held in Shanghai, where representatives from various sectors discussed standardization, technology collaboration, and ecosystem synergy, leading to the pre-release of the "AIDC Infrastructure Specification" to guide AIDC construction over the next 2-3 years [2][8]. - The AIDC infrastructure standard aims to address the challenges of planning, delivery, and operation in the rapidly evolving AIDC industry, promoting standardized and scalable development [8][9]. Group 2: Computing Power Demand - The demand for computing power is experiencing explosive growth as AI technology penetrates various industries, becoming a key driver of technological revolution and industrial transformation [4][5]. - The compound annual growth rate (CAGR) for domestic AI servers is over 20%, while the scale of intelligent computing power is growing at over 30%, indicating a need for continuous upgrades in AI infrastructure [5][6]. Group 3: Challenges in AIDC Construction - AIDC construction faces significant challenges related to heat, electricity, and space, as well as a lack of standards and long construction cycles, which complicate the establishment of AI data centers [8][9]. - The industry is currently in a phase of exploration, leading to cost inefficiencies and extended delivery times, with data center construction often taking years, which delays the deployment of AI equipment [8][9]. Group 4: Future Trends and Innovations - By 2035, the total computing power in society is projected to increase by 100,000 times, with disruptive innovations expected in computing architecture, materials, engineering processes, and computing paradigms [5][6]. - The emergence of large models in AI is expected to create numerous new application scenarios, marking a period of rapid application explosion in the AI industry [6][7].