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benchmarks that map to real use - marbletrack - 08-23-2026
Posting this in case it saves someone else a little time.
If you were starting from scratch today for this use case, what would you choose first and what would you ignore?
Simple and boring is a valid answer.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
Re: benchmarks that map to real use - tensorfield88 - 08-23-2026
That matches what I was seeing. I ended up in about the same place using vLLM.
Re: benchmarks that map to real use - macropoint - 08-23-2026
subscribed, curious where this lands.
Re: benchmarks that map to real use - audionode8 - 08-24-2026
Can you fill in a bit more context? What model, what runtime, and roughly what context size?
Re: benchmarks that map to real use - circuitwire58 - 08-24-2026
worth checking the driver first.
Re: benchmarks that map to real use - deepseeked - 08-27-2026
Good point. I ended up in about the same place using PyTorch.
Re: benchmarks that map to real use - cacheline - 08-27-2026
That matches what I was seeing. 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.
Re: benchmarks that map to real use - localcraft17 - 08-27-2026
A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
Re: benchmarks that map to real use - plainember52 - 08-27-2026
Need a little more detail here. Do you see the same thing with a smaller batch or shorter prompt?
Re: benchmarks that map to real use - batchscope72 - 08-27-2026
Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit.