High-end xPUs (GPUs, TPUs, and other AI processors) use HBM memories to get the absolute highest memory bandwidth for training the Large Language Models (LLMs) used in today’s generative AI systems. These processors, used in the thousands by hyperscale datacenters, can consume a kilowatt each. As a result, they must dissipate a phenomenal quantity of heat. This has become a very challenging problem for these datacenters. (The Memory Guy should mention here that Objective Analysis plans soon to release a report on HBM.)
The problem has attracted the attention of Continue reading “AI xPUs to be Cooled by HBM”









