Last quarter I helped a large enterprise size a GPU cluster for real-time LLM inference. We profiled the workload and found a glaring inefficiency: the H100s hit 92% utilization for about 200 milliseconds per request during prompt processing, then cratered to 30% for the next 3–9 seconds while generating output tokens. Those GPUs were expensive … continue reading
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