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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 llama.cpp and GB200.
Simple and boring is a valid answer. At this point the real bottleneck is my patience.
watching release notes so you don't have to
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I'd approach it in a boring order. If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious.
curious and caffeinated
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I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Phi and compare from there. Not glamorous advice, but repeatable baselines save a lot of time.
small models can still be good
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My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at speculative decoding.
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Good point. That matches what I saw on dual 3090.
post logs or it didn't happen
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My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at batch size.
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Can you fill in a bit more context? Are you testing this on mini PC or something else?
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worth checking the driver first.
still benchmarking everything