![]() |
|
vLLM vs SGLang for small teams with PyTorch - 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 with PyTorch (/showthread.php?tid=352) |
vLLM vs SGLang for small teams with PyTorch - phasestream53 - 09-18-2026 I figured I'd ask here before changing everything. My current setup is LM Studio with A6000, and I keep running into NVFP4. If you've tested something similar, what did you keep and what did you stop bothering with? Re: vLLM vs SGLang for small teams with PyTorch - signalpeak - 09-19-2026 Good point. That matches what I saw on dual 3090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. |