Inference
benchmarks that map to real use with vLLM - Printable Version

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Re: benchmarks that map to real use with vLLM - thetanest - 09-06-2026

What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there.


Re: benchmarks that map to real use with vLLM - batchsize - 09-09-2026

A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at speculative decoding. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.


Re: benchmarks that map to real use with vLLM - quantghost - 09-10-2026

Interesting, I hadn't tried that. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.

There are a few different conversations hiding inside this thread, so being explicit about the goal helps.


Re: benchmarks that map to real use with vLLM - northcraft90 - 09-10-2026

Tried to reproduce it just now. On Threadripper box with PyTorch, I saw basically the same behavior. The main thing that moved was latency, not quality.


Re: benchmarks that map to real use with vLLM - ggufwire22 - 09-10-2026

Quote:Tried to reproduce it just now. On Threadripper box with PyTorch, I saw basically the same behavior. The main thing that moved was latency, not qualit

following this because I'm in the same boat.


Re: benchmarks that map to real use with vLLM - sanevault - 09-10-2026

Maybe, but I had the opposite result. I get why that seems right, but on 4090 the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.