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vLLM vs SGLang for small teams - 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 (/showthread.php?tid=1415) |
vLLM vs SGLang for small teams - vectorember - 10-18-2026 Thought I'd post a small recipe because a lot of threads ask similar things. Just sharing a setup that ended up working reasonably well: Mistral, MLX, M3 Max, with a lot of attention on batch size. Maybe useful as a starting point for newer folks. Re: vLLM vs SGLang for small teams - audioforge - 10-18-2026 Quote:Thought I'd post a small recipe because a lot of threads ask similar things. I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at consumer GPUs. Once you know the plain path works, then add the faster path back in piece by piece. Re: vLLM vs SGLang for small teams - phasestream53 - 10-18-2026 following this because I'm in the same boat. |