My local model setup on an M4 Pro Mac Mini
A tech enthusiast details their experience running a local LLM server on an M4 Pro Mac Mini to maintain data privacy and AI sovereignty. The author argues that local hosting avoids the unpredictability and security risks associated with cloud-based AI APIs.
Why it matters
As AI adoption grows, the movement toward local, private compute reflects increasing concerns over data security and dependency on third-party cloud providers.
I run a local LLM server on my M4 Pro Mac mini with 48 GB of RAM. It handles everything from my Hermes agent backend to quick chat queries on my phone. The whole thing takes about 30 minutes to set up.
Hermes runs as the agent backend on the Mac mini, with my MacBook running the desktop client and my phone running Telegram. For non-Hermes usage I use Apollo on iOS for quick chats (reads like Claude, good for throwaway questions), Pi as my coding agent ( I already wrote about that setup ), and Raycast AI on my Mac for random things.
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