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Threadripper build for inference - Printable Version

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Threadripper build for inference - visionforge - 10-05-2026

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

I tried this with Qwen using LM Studio on B200. The headline result was better than I expected, but speculative decoding still ended up being the limiting factor.

Curious if anyone else landed in the same place.

This is mostly for local work rather than public serving.


Re: Threadripper build for inference - batchwire - 10-05-2026

Ran a quick check on my box. On dual 3090 with PyTorch, I saw basically the same behavior.


Re: Threadripper build for inference - vrambandit - 10-06-2026

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.


Re: Threadripper build for inference - stackpilot - 10-09-2026

That matches what I was seeing. I ended up in about the same place using SGLang. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.


Re: Threadripper build for inference - homelabhenry - 10-09-2026

subscribed, curious where this lands.


Re: Threadripper build for inference - bytegarden73 - 10-09-2026

subscribed, curious where this lands.


Re: Threadripper build for inference - batchwire - 10-09-2026

Thanks, that helps. That matches what I saw on 7900 XTX.


Re: Threadripper build for inference - plainscope50 - 10-09-2026

Quote:Thanks, that helps. That matches what I saw on 7900 XTX.

That matches what I was seeing. I ended up in about the same place using Ollama. The biggest change for me was simplifying the stack instead of adding one more optimization layer.


Re: Threadripper build for inference - batchwire - 10-09-2026

I'd start with the simpler stack.


Re: Threadripper build for inference - cozygrid12 - 10-10-2026

Did a small comparison this afternoon. My result was mixed: first run looked bad, second run looked normal. The main thing that moved was latency, not quality.