+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Security, Privacy & Safety (https://www.datasculpting.ai/inference/forumdisplay.php?fid=23)
+--- Forum: Local Privacy (https://www.datasculpting.ai/inference/forumdisplay.php?fid=76)
+--- Thread: privacy wins of local models: setup advice (/showthread.php?tid=85)
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Re: privacy wins of local models: setup advice - mlxgarden - 09-08-2026
I'd approach it in a boring order. If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. At this point the real bottleneck is my patience.
Re: privacy wins of local models: setup advice - rocmriley - 09-09-2026
I'd approach it in a boring order. If you're on LM Studio, 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: privacy wins of local models: setup advice - audionode8 - 09-09-2026
Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt?
Re: privacy wins of local models: setup advice - rocmhouse90 - 09-09-2026
My first guess would be this: On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives. Once you know the plain path works, then add the faster path back in piece by piece.