Group 1 - The development of generative AI is reshaping business processes and digital models across various industries while increasing demands on underlying computing infrastructure [2] - According to IDC, the compound annual growth rate (CAGR) for AI data center capacity is expected to reach 40.5% by 2027, with energy consumption projected to grow at a CAGR of 44.7%, reaching 146.2 terawatt-hours (TWh) [2] - In 2024, global data centers are expected to consume 415 TWh of electricity, accounting for 1.5% of total global electricity consumption, with the U.S. data centers consuming 180 TWh, representing 45% of the global share [2] Group 2 - AI servers are significantly increasing power consumption, with single racks now exceeding 50 kW, surpassing the cooling limits of traditional air cooling systems [3] - The traditional cooling systems in data centers accounted for 40% of energy consumption before the AI demand surge [3] Group 3 - The architecture of data centers is undergoing transformation to improve energy efficiency, with a focus on utilizing idle computing power effectively [4] - Data center operators are exploring advanced cooling technologies, such as liquid cooling and indirect evaporative cooling, to reduce energy consumption [5] Group 4 - Companies like Huawei and Hailan Cloud are innovating by building data centers in unique locations, such as underground or underwater, to enhance cooling efficiency and reduce energy costs [5][6] - Microsoft's underwater data center project demonstrated a significantly lower failure rate and a PUE value of 1.07, showcasing the benefits of natural cooling from seawater [6] Group 5 - The total cost of ownership (TCO) for underwater data centers is 15-20% lower than that of land-based centers, with significant annual savings on electricity and operational costs [7] - The underwater data center project in Hainan is expected to recover its investment within five years due to substantial savings on electricity and land costs [7] Group 6 - Despite the advantages, underwater data centers face operational challenges due to their isolation, necessitating innovative maintenance solutions [8] - The introduction of a 2.0 version of underwater data centers aims to facilitate maintenance by allowing access through a fixed pipeline [9] Group 7 - The construction of computing power scheduling platforms is becoming essential as companies shift from building their own infrastructure to purchasing computing power from service providers [10] - The integration of underwater data centers with computing power platforms is seen as a transformative step for the data center industry, creating a synergistic ecosystem [11]