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new here, what's your stack: early impressions
#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 LM Studio and GB200.

Simple and boring is a valid answer.
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#2
What worked for me was pretty simple. If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious.
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#3
That matches what I was seeing. I ended up in about the same place using PyTorch. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
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#4
I hit almost the same issue last night.
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#5
My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at VRAM headroom. Once you know the plain path works, then add the faster path back in piece by piece.
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#6
Quote:My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at VRAM headroom. Once you know

Tried to reproduce it just now. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality.
curious and caffeinated
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#7
I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there. 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
Good point. I don't think your conclusion is far off. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
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#9
Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality.
small models can still be useful
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#10
I'd approach it in a boring order. If you're on PyTorch, 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.
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