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Thought I'd post a small recipe because a lot of threads ask similar things.
Maybe useful as a starting point: TensorRT-LLM on 7900 XTX, keeping HBM constraints in mind from the start.
If someone wants the exact settings I can clean them up and post them.
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That matches what I was seeing. The pattern around token cost has been pretty similar for me. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
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Quote:That matches what I was seeing. The pattern around token cost has been pretty similar for me. The biggest change for me was simplifying the stack inst
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.
Mostly CUDA, sometimes wrong, usually measured
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Can you fill in a bit more context? Are you testing this on B200 or something else?
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A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with FLUX and compare from there. Not glamorous advice, but repeatable baselines save a lot of time.