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The bench

Local LLM inference measured on one RTX 5090: speculative decoding, FP8 KV cache, concurrency, with the run logs.

A benchmark harness for a single-GPU vLLM server. One server, three configs, the same 24 prompts across code editing, creative writing and RAG-style answering, at temperature 0 with fixed seeds.

Determinism is checked rather than assumed: two identical baseline runs have to produce byte-identical output before a number counts. That is how FP8 KV cache ended up staying off on my server despite the throughput win.

Current headline numbers live on the benchmarks page: 350 tok/s on code edits with n-gram speculation (4.65× baseline) and 656 aggregate tok/s at 16-way concurrency.

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