AI article
Five Ways Your LLM Serving Benchmark Is Lying to You (and How to Catch Each One)
Community description: Prefix cache hits, SSE chunk counting, silent FP8 KV cache, multi-knob tuning and lazy gates: real numbers from vLLM benchmarks that went wrong.
Dev.to | Oct 5, 2026 | AI Tech News
Automated excerpt
A config. json inside one model folder declared an 8-bit KV cache scheme, and vLLM silently enabled FP8 KV. KV capacity was 1. 775x larger on that arm (940,736 vs 529,856 tokens). Should I disable prefix caching for every vLLM benchmark?
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