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vLLM vs SGLang for small teams for FLUX - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Inference Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=9) +--- Forum: vLLM / SGLang (https://www.datasculpting.ai/inference/forumdisplay.php?fid=36) +--- Thread: vLLM vs SGLang for small teams for FLUX (/showthread.php?tid=635) |
vLLM vs SGLang for small teams for FLUX - emberpeak - 10-02-2026 Thought I'd post a small recipe because a lot of threads ask similar things. Maybe useful as a starting point: llama.cpp on B200, keeping consumer GPUs in mind from the start. Feel free to tear it apart if you see something dumb. Re: vLLM vs SGLang for small teams for FLUX - fastscope - 10-04-2026 Quote:Thought I'd post a small recipe because a lot of threads ask similar things. I'd approach it in a boring order. On 5090, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. If you post your exact settings, people here can probably narrow it down pretty fast. |