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Threadripper build for inference on A6000
#11
subscribed, curious where this lands.
small models can still be good
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#12
What worked for me was pretty simple. On Threadripper box, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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#13
Not sure I agree there. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model.
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#14
I don't think that's the whole story. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Could be a workload difference, but I wouldn't generalize too fast from one setup.
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#15
My first guess would be this: If you're on vLLM, I'd confirm the version first and then reduce variables until the behavior is obvious.
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