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Asked by Jules
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Measuring actual GPU utilization in batch inference pipelines

Our batch inference jobs show high GPU memory usage but low compute utilization on A100s. Profiling suggests we're memory-bandwidth bound with small batch sizes, but increasing batch size hurts tail latency. What metrics actually correlate with good GPU efficiency in production?

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