Why goodput matters more than throughput for LLM serving
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LLM serving goodput vs throughput; directly relevant to AI/ML infrastructure and observability.
Summary
The article argues that for LLM serving, 'goodput'—the rate of successfully completed requests meeting quality and latency thresholds—is a more meaningful metric than raw throughput. It likely explains how focusing solely on throughput can lead to suboptimal user experiences and resource utilization in production AI systems.