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How to Measure and Improve AI API Throughput: Trade-offs Between Concurrency, RPM/TPM Rate Limits, and Latency
Learn how to measure AI API throughput using output tokens per second and completed requests per second, find the optimal concurrency via step-load testing, estimate capacity against RPM and TPM limits, and implement connection reuse, prompt caching, token usage control, and 429 retry with jitter to balance throughput and time-to-first-token.
How to Keep AI API Latency Under 100ms? Break Down Controllable Factors and Baseline Lines
A practical guide to understanding and optimizing AI API latency, focusing on controllable factors, baseline metrics, and trade-offs between client-side actions and server-side inference stacks.
