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paged attention observations with MLX - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Optimization & Performance (https://www.datasculpting.ai/inference/forumdisplay.php?fid=10) +--- Forum: Context / KV Cache (https://www.datasculpting.ai/inference/forumdisplay.php?fid=41) +--- Thread: paged attention observations with MLX (/showthread.php?tid=753) Pages:
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Re: paged attention observations with MLX - labline - 10-11-2026 That matches what I was seeing. 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. Re: paged attention observations with MLX - cacheline - 10-11-2026 Quote:That matches what I was seeing. I don't think your conclusion is far off. I got better results once I stopped chasing one metric and just looked at wh That matches what I was seeing. That matches what I saw on 5090. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: paged attention observations with MLX - vectorpoint - 10-11-2026 Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Re: paged attention observations with MLX - cacheline - 10-11-2026 I'd start with the simpler stack. Re: paged attention observations with MLX - southtinker - 10-12-2026 Quote:I'd start with the simpler stack. That matches what I was seeing. 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. |