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+--- Thread: framework overhead in real deployments: early impressions (/showthread.php?tid=1216)
framework overhead in real deployments: early impressions - llm_wren - 10-14-2026
Did a bit of testing and thought I'd post the result here.
Short version: TensorRT-LLM behaved well for me, but only after I stopped ignoring structured output.
Curious if anyone else landed in the same place.
Re: framework overhead in real deployments: early impressions - rocmrunner40 - 10-16-2026
A couple things I'd check first. On 7900 XTX, 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.
Re: framework overhead in real deployments: early impressions - latentpeak22 - 10-17-2026
I'd approach it in a boring order. If you're on TensorRT-LLM, I'd confirm the version first and then reduce variables until the behavior is obvious.
Re: framework overhead in real deployments: early impressions - forgemixer - 10-17-2026
I'd approach it in a boring order. If you're on llama.cpp, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorous advice, but repeatable baselines save a lot of time.
Re: framework overhead in real deployments: early impressions - torchsupply99 - 10-17-2026
Did a small comparison this afternoon. My result was mixed: first run looked bad, second run looked normal. The surprise was that memory pressure showed up before throughput collapsed.
Re: framework overhead in real deployments: early impressions - kernelmike - 10-17-2026
Quote:Did a small comparison this afternoon. My result was mixed: first run looked bad, second run looked normal. The surprise was that memory pressure show
same here on my side.
Re: framework overhead in real deployments: early impressions - griffinloom66 - 10-17-2026
Quote:[quote]Did a small comparison this afternoon. My result was mixed: first run looked bad, second run looked normal. The surprise was that memory pressu
following this because I'm in the same boat.