为“发烧”的AI服务器降温
Da Zhong Ri Bao·2026-02-27 01:33

Core Viewpoint - The rapid increase in AI model parameters is pushing the power density of servers to new heights, leading to a critical need for advanced cooling solutions, particularly liquid cooling technology, which is expected to dominate the market by 2027 [1][3]. Group 1: Cooling Technology Evolution - Traditional air cooling methods are becoming inadequate as power density exceeds 40 kW, resulting in significant heat generation that air cooling cannot manage effectively [2][3]. - Liquid cooling technology is emerging as a necessary solution, with its efficiency being 3-5 times greater than air cooling, allowing for a PUE (Power Usage Effectiveness) as low as 1.05 [4][6]. - The rise of liquid cooling is driven by both the explosion of AI computing power and stringent energy consumption regulations, making high-efficiency cooling solutions essential for market competitiveness [4][6]. Group 2: Market Growth and Projections - Currently, liquid cooling holds a market share of approximately 20%, but it is projected to grow to 40%-50% by 2030 due to increasing demand for high-power servers driven by AI [7]. - The Chinese liquid cooling server market is expected to exceed $10.2 billion by 2028, with a compound annual growth rate (CAGR) of over 40% [7]. - Despite the advantages of liquid cooling, challenges such as supply chain optimization and deployment costs remain barriers to widespread adoption [7]. Group 3: Innovative Solutions and Industry Trends - The "wind-liquid co-source solution" proposed by Inspur aims to address the inefficiencies of traditional cooling systems by utilizing a segmented water supply approach, optimizing energy use [8]. - The new design allows for seamless switching between pure air cooling, pure liquid cooling, and hybrid modes, enhancing adaptability to varying computational loads [8]. - The integration of an AI control platform enables real-time adjustments to cooling strategies, further improving efficiency and performance [8].

为“发烧”的AI服务器降温 - Reportify