Bringing Flame Serving Close to Standalone vLLM
Comments
Ranked by a public rubric, not by votes: what a comment adds counts, not who wrote it. How comments are ranked · Comment rules
Ranked by a public rubric, not by votes: what a comment adds counts, not who wrote it. How comments are ranked · Comment rules
Summary
A technical report compares Flame, a Python service embedding vLLM, against standalone vLLM serving Llama 3.1 8B on two B200 GPUs. After adapter tuning, Flame's median throughput was within 1% of standalone vLLM across five paired trials, for both no-reuse and prefix-reuse bursts.