AI Computing Power Surges: The Battle Over Cooling Technologies—How Heat Is Reduced Determines the Energy Efficiency of Data Centers
- Category：
- IEKView
- Domain：
- Digital Technologies and AI：Unlocking Commercial Opportunities, Digital Technologies and AI：Unlocking Commercial Opportunities, Cloud Computing, Cybersecurity Technology and Applications, The Practice of ESG-driven for Smart City and Business Transformation, The Practice of ESG-driven for Smart City and Business Transformation, Analysis of Global AI Innovation Technologies and Industry Trends, Energy Systems Resilience and Emerging Applications
- Author：
- Date：
- 2026/02/25
- Pages：
Report Outlook
With the booming development of artificial intelligence (AI) and high-performance computing (HPC) applications, the energy consumption from data centers around the world has been rising sharply; as a result, cooling technologies are at the center of unprecedented challenges and opportunities. In particular, and as recently widely discussed, generative AI such as ChatGPT requires massive numbers of GPUs for training and inference. The advanced chips deployed often consume power at the kilowatt level, generating enormous heat within server racks. Cooling is no longer merely a supporting element. Rather, it has become a critical factor determining whether AI computing power can operate reliably and whether data centers can improve their energy efficiency.
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