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Thought I'd post a small recipe because a lot of threads ask similar things.
This isn't revolutionary, but the combination of llama.cpp and GB200 felt surprisingly usable once I tuned around HBM constraints.
Maybe useful as a starting point for newer folks.
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My first guess would be this: On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives. Once you know the plain path works, then add the faster path back in piece by piece.
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What worked for me was pretty simple. On 7900 XTX, 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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Tried to reproduce it just now. The issue went away once I changed one setting and restarted the stack cleanly. The main thing that moved was latency, not quality.
routing beats arguing over one perfect model
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that fixed it for me too.
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What exact setup are you running? What model, what runtime, and roughly what context size?
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I think the bottleneck is somewhere else. I get why that seems right, but on A6000 the bottleneck felt elsewhere. Could be a workload difference, but I wouldn't generalize too fast from one setup.