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The best CPU for running local LLMs is still a bigger question than many people think because RAM capacity, PCIe lanes, and platform longevity can matter as much as raw benchmark numbers. In your own local AI builds, what ends up mattering most after the first week: efficiency, upgrade path, memory ceiling, hybrid inference performance, or price?