智算引领 算网协同 绿色低碳 算力产业迈向高质量发展新阶段

Core Insights - The rapid development of China's computing power industry is highlighted by significant advancements in infrastructure and technology, with a focus on high-quality development and strategic initiatives like the "East Data West Computing" project [1][4][9] - The demand for intelligent computing (智算) is surging, with its scale reaching 748 EFlops, accounting for 35% of the total computing power in China, and projected to grow to 1037.3 EFlops by 2025 [2][3] - The integration of computing resources across the nation is being prioritized to enhance accessibility and efficiency, with initiatives like the establishment of a national computing network and the "Computing Power Internet" [4][5][7] Industry Developments - The computing power infrastructure in China is expanding, with over 1,043 million standard computing racks in use, marking an 18.5% increase from 2024 [2] - Major telecom companies are enhancing their computing capabilities, with China Telecom's central computing center in Wuhan expanding by 2 EFlops to support AI applications [3] - The "East Data West Computing" initiative has seen the total computing power of eight major hubs reach 215.5 EFlops, with intelligent computing accounting for 80.8% of this total [3] Technological Advancements - The introduction of advanced technologies, such as liquid cooling, is significantly improving energy efficiency in data centers, with reductions in energy consumption by 50%-60% [8] - The deployment of high-capacity optical transmission networks is facilitating efficient computing resource allocation, with companies like China Mobile and China Unicom achieving significant advancements in network capabilities [6][7] Policy and Strategic Initiatives - The Chinese government is actively promoting policies to drive the integration of computing power and energy efficiency, aiming for a PUE value below 1.35 in existing data centers by 2027 [8] - The establishment of a national computing network and the "Computing Power Internet" is expected to enhance the efficiency of resource allocation and support over 7,000 computing entities in meeting demand [4][5]