Workflow
华为FusionModule2000智能微模块
icon
Search documents
AI“热”力四射 智算中心如何“冷”静应对?
Ren Min Wang· 2025-10-29 09:28
Core Insights - The rapid iteration of artificial intelligence technology is driving the comprehensive development of the intelligent computing industry, with the "digital economy" becoming a key term for regional industrial development [1][2] - The construction of intelligent computing centers is entering a high-speed development phase, with a projected year-on-year growth of 122.4% in China's AI IaaS market by the first half of 2025 [1] - The increasing power density of AI computing poses significant challenges to traditional data center architectures, necessitating innovations in design and construction methods [1][3] Industry Developments - The "East Data West Computing" initiative is accelerating the establishment of intelligent computing centers across various regions, reshaping the geographical landscape of computing power in China [3] - The demand for rapid deployment has led to a shift towards standardized and modular distributed architectures, significantly reducing construction time from 18-24 months to as little as 6 months [1][3] - The energy requirements for large-scale intelligent computing centers are escalating, with projections indicating that by 2030, China's data centers could consume between 400 billion to 600 billion kilowatt-hours annually [2] Technological Innovations - New cooling technologies, such as indirect evaporative cooling, are being implemented to address the energy consumption and safety challenges posed by AI computing power [2][3] - The introduction of the "minimum fault domain" concept aims to enhance safety and reliability in intelligent computing center construction, ensuring business continuity even in the event of localized incidents [3] - The power density of AI clusters is rapidly increasing, with current cabinet power densities reaching 20kW to 50kW, and moving towards 200kW, necessitating the adoption of advanced cooling solutions [3]