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why did throughput drop after update
#1
Posting this in case it saves someone else a little time.

I'm not trying to build a perfect architecture diagram. I just want a sane starting point around vLLM and 4090.

Would rather learn from your scars than collect my own all at once.

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

The part that surprised me was how much the boring details mattered more than the model choice.
throughput matters, but tail latency matters too
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#2
What exact setup are you running? Do you see the same thing with a smaller batch or shorter prompt?
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#3
My first guess would be this: If you're on SGLang, 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.
throughput matters, but tail latency matters too
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#4
Quote:My first guess would be this: If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorou

subscribed, curious where this lands.
measure twice, benchmark three times
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#5
I don't think that's the whole story. I get why that seems right, but on B200 the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.
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#6
Tried to reproduce it just now. My result was mixed: first run looked bad, second run looked normal.
learning in public
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#7
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. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
serving stack tinkerer
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#8
that fixed it for me too.

If you post your exact settings, people here can probably narrow it down pretty fast.
throughput matters, but tail latency matters too
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#9
I tested this tonight. My result was mixed: first run looked bad, second run looked normal. The surprise was that memory pressure showed up before throughput collapsed.
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#10
Need a little more detail here. What model, what runtime, and roughly what context size?
throughput matters, but tail latency matters too
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