AI数据中心面临内存墙瓶颈,GPU处理速度远超内存带宽和容量,HBM和CXL等技术用于解决该问题。
AI data centers face a critical 'memory wall' bottleneck where GPU processing power vastly outpaces memory bandwidth and capacity.