Inference
QLoRA resource reality check with TensorRT-LLM - Printable Version

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QLoRA resource reality check with TensorRT-LLM - sparrowbrook - 10-17-2026

Did a bit of testing and thought I'd post the result here.

Short version: SGLang behaved well for me, but only after I stopped ignoring prefix caching.

Nothing scientific here, just practical notes from a real setup.

I care more about stability than squeezing the last possible tokens/sec out of it.


Re: QLoRA resource reality check with TensorRT-LLM - northgrid33 - 10-17-2026

I think the bottleneck is somewhere else. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model.


Re: QLoRA resource reality check with TensorRT-LLM - benchplease - 10-18-2026

Good point. The pattern around quant drift has been pretty similar for me.