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disaggregated inference thoughts on M3 Max - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Optimization & Performance (https://www.datasculpting.ai/inference/forumdisplay.php?fid=10) +--- Forum: Performance Tuning (https://www.datasculpting.ai/inference/forumdisplay.php?fid=42) +--- Thread: disaggregated inference thoughts on M3 Max (/showthread.php?tid=11) Pages:
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Re: disaggregated inference thoughts on M3 Max - kernelmike - 08-30-2026 subscribed, curious where this lands. Re: disaggregated inference thoughts on M3 Max - quantsupply - 08-30-2026 Interesting, I hadn't tried that. I don't think your conclusion is far off. Re: disaggregated inference thoughts on M3 Max - macropilot - 09-02-2026 Can you fill in a bit more context? What model, what runtime, and roughly what context size? Re: disaggregated inference thoughts on M3 Max - kernelmike - 09-02-2026 Maybe, but I had the opposite result. I've seen people blame consumer GPUs when the real issue was much more mundane. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet. Re: disaggregated inference thoughts on M3 Max - tensorfield88 - 09-02-2026 What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. |