i卡會員

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.