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Thought I'd post a small recipe because a lot of threads ask similar things.
Maybe useful as a starting point: SGLang on dual 3090, keeping token cost in mind from the start.
Feel free to tear it apart if you see something dumb.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
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I hit almost the same issue last night.
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My first guess would be this: If you're on llama.cpp, I'd confirm the version first and then reduce variables until the behavior is obvious.
trying not to rebuild again
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Interesting, I hadn't tried that. The pattern around HBM constraints has been pretty similar for me.
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Appreciate the detail. That matches what I saw on A6000. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
If you post your exact settings, people here can probably narrow it down pretty fast.
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My first guess would be this: On M3 Max, the easiest win is often to back off the aggressive settings and see whether the problem survives.
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I'd start with the simpler stack.
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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.
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Thanks, that helps. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
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Tried to reproduce it just now. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to matter more than it did.
Mostly CUDA, sometimes wrong, usually measured