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Posting this in case it saves someone else a little time.
I'm not trying to build a perfect architecture diagram. I just want a sane starting point around PyTorch and Threadripper box.
Simple and boring is a valid answer.
This is mostly for local work rather than public serving.
team red, team patient
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worth checking the driver first.
rack in the garage • local models everywhere
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Thanks, that helps. That matches what I saw on dual 3090.
curious and caffeinated
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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.
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A couple things I'd check first. On M3 Max, the easiest win is often to back off the aggressive settings and see whether the problem survives. Not glamorous advice, but repeatable baselines save a lot of time.
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Not sure I agree there. I've seen people blame consumer GPUs when the real issue was much more mundane. Worth testing the simpler explanation before adopting the more interesting one.
rack in the garage • local models everywhere
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Appreciate the detail. The pattern around token cost has been pretty similar for me.
curious and caffeinated
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that fixed it for me too.
rack in the garage • local models everywhere