談人工智慧晶片的4種類型 傳統伺服器與AI伺服器的差別在於： 1. 傳統伺服器透過CPU做為主要的運算， 2. AI伺服器除了使用CPU外，還使用GPU、FPGA、ASIC來加速運算。 一般來說，傳統伺服器價格較低，約1500~3000 美元；而AI伺服器價格較高，如AI推論伺服器落在3000~20000美元；而AI訓練伺服器約落在15~30萬美元。 以下簡介各種伺服器晶片的差別： 1. CPU (Central Processing Unit): 以執行複雜指令集為目的，處理重複性高的類神經運算。 2. GPU (Graphics Processing Unit): 擅長浮點數及平行運算，適用於AI深度學習。 3. FPGA (Field Programmable Gate Array): 可依需求調整硬體配置，具備演算法靈活性。 4. ASIC (Application Specific Integrated Circuit): 能針對特定應用最佳化算效能、降低功耗、縮小體積。 4 Types of AI Chip The difference between traditional servers and AI servers is: 1. Traditional servers use the CPU as the main operations. 2. E xcept for the CPU, AI servers also use GPU, FPGA, and ASIC to accelerate operations. Generally speaking, the price of traditional servers is lower, about 1,500 to 3,000 USD; while the price of AI servers is higher, such as AI inference servers is about 3,000 to 20,000 USD; and AI training servers is about 150,000 to 300,000 USD. The following is the introduction to the differences betw...