You don't need the cloud to run your own AI

When people use a hosted AI service, they type into a website and a computer in a data center types back. That works. Depending on the service and plan, there may be a subscription or usage limits, and the provider processes the prompt under its own data policies.

There’s another way, and it’s more accessible than people think: run the model on a machine in your own house.

What “the model” actually is

An AI model is a file. A big one — anywhere from 3 GB to 60 GB — but just a file. Companies train these files on enormous computers, then release many of them for anyone to download and use. Once it’s on your machine, it runs on your machine. No internet required.

The software to run one is now genuinely easy. A free program called Ollama, or a friendlier app called LM Studio, handles it: you pick a model, it downloads, you start chatting. Setup time depends on the download, hardware and application; we have no recorded twenty-minute test for this article.

What it costs

The model is free. The machine is the cost, and it’s a one-time cost:

• Budget mini PC: a Beelink SER8 is one place to start. Compare prices for the 32 GB/1 TB version.
• Compact Mac: an M4 Mac mini with 24–32 GB can make sense. Budget for that exact configuration and any external storage.
• More memory: a 128 GB machine holds larger models, but puts you in a more expensive hardware tier.

These are budget categories, not current price quotes. Check the specific configuration and compare newer alternatives before buying.

After that, electricity. At $0.15 per kWh, a constant 10-watt draw costs about $13.14 a year; a constant 100-watt draw costs about $131.40. An idle estimate is not a continuous AI-workload estimate. Our full guide breaks down which option fits which person.

What you give up

Honesty matters here. The very best models in the world are still the ones the big companies keep on their own servers. If you always want the absolute sharpest answer, local AI won’t fully replace a subscription yet.

A downloaded local model can work without an internet connection or a hosted-model subscription. Privacy depends on the whole setup: cloud models, web search, plugins and synced files can still send data elsewhere. Check the app’s settings; Ollama explains how to disable cloud features. For everyday writing, summarizing and searching your own notes, a local model can be useful without those extras.

Why this is our starting point

Considered Gear covers three things, and local AI is first on purpose. The same box that runs your AI can run your home automation later. The same curiosity that makes you want to own your AI is the one that leads to a workshop. It all comes back to the same idea: technology you own and control, running in your house, answering to you.