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serving on Blackwell for FLUX - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Inference Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=9) +--- Forum: TensorRT-LLM (https://www.datasculpting.ai/inference/forumdisplay.php?fid=37) +--- Thread: serving on Blackwell for FLUX (/showthread.php?tid=92) Pages:
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Re: serving on Blackwell for FLUX - pixelcrate82 - 09-04-2026 A couple things I'd check first. If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorous advice, but repeatable baselines save a lot of time. Re: serving on Blackwell for FLUX - vramstream - 09-04-2026 Ran a quick check on my box. The issue went away once I changed one setting and restarted the stack cleanly. Re: serving on Blackwell for FLUX - macrotinker - 09-04-2026 I think the bottleneck is somewhere else. 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. Re: serving on Blackwell for FLUX - vectorport - 09-05-2026 That matches what I was seeing. I don't think your conclusion is far off. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. |