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Posting this in case it saves someone else a little time.
I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about small local stacks.
Simple and boring is a valid answer.
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I tested this tonight. On Threadripper box with PyTorch, I saw basically the same behavior. The main thing that moved was latency, not quality.
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Appreciate the detail. That matches what I saw on Threadripper box. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
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My first guess would be this: If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious.