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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 prefix caching.
I'm especially interested in mistakes worth avoiding.
This is mostly for local work rather than public serving.
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Interesting, I hadn't tried that. The pattern around consumer GPUs has been pretty similar for me. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
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Quote:Interesting, I hadn't tried that. The pattern around consumer GPUs has been pretty similar for me. Worth rechecking your defaults though, because one
worth checking the driver first.
measure twice, benchmark three times
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Good point. I ended up in about the same place using Ollama. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
serving stack tinkerer
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I think the bottleneck is somewhere else. I've seen people blame HBM constraints when the real issue was much more mundane. Worth testing the simpler explanation before adopting the more interesting one.
measure twice, benchmark three times
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subscribed, curious where this lands.
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subscribed, curious where this lands.
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What exact setup are you running? Do you see the same thing with a smaller batch or shorter prompt?
mostly local