A new load testing protocol emphasizes measuring 'goodput'—requests completed within a service-level objective (SLO) with valid output—rather than raw throughput. This approach, detailed in a dev.to article, aims to provide a more realistic assessment of LLM production capacity for real-world traffic shapes. It distinguishes between first-token delay and generation time, and accounts for retries, retrieval, and safety checks to determine useful completion rates and costs. AI
IMPACT Provides a framework for evaluating LLM service performance under realistic traffic conditions, aiding in capacity planning and provider selection.
RANK_REASON The article proposes a new methodology for testing LLM production capacity, drawing on existing papers and guidance.
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