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when TensorRT-LLM clearly wins
#1
Thought I'd post a small recipe because a lot of threads ask similar things.

This isn't revolutionary, but the combination of MLX and B200 felt surprisingly usable once I tuned around prefix caching.

Feel free to tear it apart if you see something dumb.
team red, team patient
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#2
Thanks, that helps. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
Mostly CUDA, sometimes wrong, usually measured
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