Are LLM Performance Benchmarks Reliable? — Ashok Chandrasekar & Jason Kramberger, Google
Two Google engineers could not reproduce other researchers' performance benchmarks for AI models and discovered why: benchmark tools often measure incorrectly.
A tool might report sending 200 requests per second when it only sent 38. Python's way of running code makes it hard to run multiple tests at once. Sometimes the test tool itself runs so slowly that it looks like the server is slow, when it's actually fine. Google then built Inference Perf, a new testing tool that can run real workloads correctly and keep track of what actually happened versus what was planned.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
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