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vLLM vs SGLang for small teams on dual 3090 - 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 on dual 3090 (/showthread.php?tid=1352) Pages:
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Re: vLLM vs SGLang for small teams on dual 3090 - griffinloom66 - 10-18-2026 A couple questions before I guess too hard. Is this local-only or are you routing anything externally? Re: vLLM vs SGLang for small teams on dual 3090 - promptpoint - 10-18-2026 A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt? Re: vLLM vs SGLang for small teams on dual 3090 - tensorkite - 10-19-2026 Interesting, I hadn't tried that. I don't think your conclusion is far off. Re: vLLM vs SGLang for small teams on dual 3090 - amberrunner - 10-19-2026 I hit almost the same issue last night. There are a few different conversations hiding inside this thread, so being explicit about the goal helps. Re: vLLM vs SGLang for small teams on dual 3090 - thetashed24 - 10-19-2026 Thanks, that helps. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: vLLM vs SGLang for small teams on dual 3090 - fastquill74 - 10-19-2026 Quote:Interesting, I hadn't tried that. I don't think your conclusion is far off. Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet. |