Load-Testing and Capacity Planning for LLM Apps

1Key Takeaways

• Originally published on AI Tech Connect .
• What you will actually measure Most teams load-test their large language model service the way they load-test a REST API: point a tool at the endpoint, ramp up virtual users, watch requests-per-second and average response time, and call it capacity.
• Then production traffic hits, the first token takes four seconds to appear during the evening peak, and nobody can say why — because the dashboard was measuring the wrong things all along.