How Power Semiconductors Support AI Data Centers
TechNews explains that power semiconductors manage current, convert voltage and reduce losses rather than perform AI computation. It compares silicon, silicon carbide and gallium nitride, highlighting SiC for high-voltage and high-power uses and GaN for high-frequency, high-density power conversion as AI data centers raise rack power density.
The report identifies power conversion and thermal management as infrastructure issues surrounding rising AI data-center power demand, while noting that manufacturers must balance efficiency, cost and reliability.
當外界關注 AI 晶片的運算效能、製程技術與龐大算力時，卻鮮少注意到，支撐這些高效能晶片運作的背後，還有一群不起眼的「電力守門員」。它們不負責運算，卻肩負控制電流、轉換電壓及降低電力損耗的重要任務，從手機充電器、電動車到大型 AI 資料中心，都少不了這些小小元件的身影。
這群幕後功臣，就是功率半導體（Power Semiconductor）。隨著 AI 資料中心用電需求攀升，如何提高電力轉換效率、減少能源損耗，逐漸成為科技業的重要課題，也讓功率半導體重新受到關注。究竟功率半導體有哪些種類？又是由哪些材料製成？不同元件與材料之間，又有什麼樣的差異？
#Power Semiconductor#MOSFET#IGBT#Diode#Silicon Carbide#Gallium Nitride#AI data centers