Diagram showing AI API throughput constrained by concurrency gates and RPM/TPM limits

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.

Default 2026-09-27 153 views
AI API throughput rate limiting Performance Optimization concurrency
DeepInfra's TTFT/Throughput/E2E Framework: How Load Testing Reveals Performance Inflation in Self-Hosted AI APIs vs. Relay Stations

DeepInfra's TTFT/Throughput/E2E Framework: How Load Testing Reveals Performance Inflation in Self-Hosted AI APIs vs. Relay Stations

Learn to measure TTFT, throughput, and E2E latency to distinguish genuine self-hosted AI APIs from potentially inflated relay stations, with a reproducible load testing protocol and supplier acceptance checklist.

Default 2026-08-10 208 views
TTFT AI API load testing throughput latency DeepInfra
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