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Thought I'd post a small recipe because a lot of threads ask similar things.
Maybe useful as a starting point: SGLang on mini PC, keeping continuous batching in mind from the start.
Maybe useful as a starting point for newer folks.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
mostly local
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Can you fill in a bit more context? Is this local-only or are you routing anything externally?
mostly local
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I tested this tonight. On GB200 with vLLM, I saw basically the same behavior. The surprise was that memory pressure showed up before throughput collapsed.
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My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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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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Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher. The surprise was that memory pressure showed up before throughput collapsed.
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Need a little more detail here. Is this local-only or are you routing anything externally?
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Did a small comparison this afternoon. On mini PC with TensorRT-LLM, I saw basically the same behavior. The surprise was that memory pressure showed up before throughput collapsed.
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My first guess would be this: If you're on MLX, 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.
image models by night, local pipelines by day