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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 continuous batching. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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Maybe, but I had the opposite result. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Could be a workload difference, but I wouldn't generalize too fast from one setup.
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Appreciate the detail. I ended up in about the same place using TensorRT-LLM.
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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 surprise was that memory pressure showed up before throughput collapsed.
routing beats arguing over one perfect model