Local Ai

Mac mini for running LLMs and AI agents 24/7: Prioritize RAM or CPU/GPU performance?

I’m planning to get a Mac mini mainly to run local LLMs and AI agents 24/7. I plan to run models up to 27B parameters with Q4 quantization, and maybe not for coding, maybe just for everday task and mo

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local-air-localllama

I’m planning to get a Mac mini mainly to run local LLMs and AI agents 24/7. I plan to run models up to 27B parameters with Q4 quantization, and maybe not for coding, maybe just for everday task and model exploration. I’m trying to figure out whether I should prioritize more RAM or a more powerful chip. For example, I’m considering: M4 with 32GB RAM M4 Pro with 24GB RAM For this kind of workload, which matters more: having more memory to run larger models, or better CPU/GPU performance for faster inference? I’d love to hear from anyone running a similar setup! submitted by /u/secsilm [link] [comments]

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Source: r/LocalLLaMA | 2026-10-13

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