In recent years, advancements in AI computing power and cooling technology have propelled the rapid growth of artificial intelligence. For AI computing power, hardware accelerators such as GPUs and specialized hardware accelerators (TPUs, FPGAs) have become indispensable for deep learning tasks. The emergence of quantum computing technology offers new possibilities for solving specific problems. Concurrently, the adoption of edge computing enables AI models to be closer to data sources, achieving the dual advantages of real-time processing and privacy protection. To meet the escalating demand for computing power, cooling technology has garnered significant attention.
AI Server Cooling: With increasing cooling demands, traditional air cooling struggles to dissipate thermal wattage exceeding 1000W. Consequently, a combination of air and liquid cooling is increasingly utilized to expedite heat exchange and maintain system coolness.
AI PC Cooling: Personal computers prioritize slimness, efficiency, and quiet operation. However, AI chips generate intense heat rapidly. Thus, employing specialized air cooling systems with flat board designs facilitates even heat distribution and prevents system shutdowns.
Metaverse Applications: Smartphones and mixed reality devices serve as primary gateways to the metaverse. They require substantial power, rapid connectivity, and high-resolution screens. Additionally, they should be sleek, lightweight, and silent to enable users to immerse fully. Hence, cooling solutions must be efficient, silent, and lightweight to perfectly match these needs.
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