Beyond GPUs: Why Memory Is The Next Frontier In AI Infrastructure Efficiency
DataCenter Knowledge, Wednesday, February 18th, 2026
Standards like Compute Express Link are emerging as critical tools for expanding memory capacity, enabling sharing, and improving efficiency, making memory hierarchy design a key factor in optimizing AI infrastructure and reducing costs.
Ask an AI platform architect what breaks first at scale, and you are likely to hear a variation of the same answer: GPU memory. In inference workloads, the key-value (KV) cache size grows with context length and concurrency, making high-bandwidth memory (HBM) a limiting resource. Training may win the headlines, but in today's systems, inference is what most often exposes HBM limits, leaving costly GPUs underutilized