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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 Ollama and 4090 felt surprisingly usable once I tuned around long context.
Maybe useful as a starting point for newer folks.
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What exact setup are you running? Are you testing this on B200 or something else?
still benchmarking everything
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I'd start with the simpler stack.
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What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tail latency. 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. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at quant drift. Once you know the plain path works, then add the faster path back in piece by piece.
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Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to matter more than it did.
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Thanks, that helps. I ended up in about the same place using TensorRT-LLM. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.