Local AI Engineering with Ollama

Why People Run Local Even When the API Is Cheaper

Money is not the only reason, and often not the main one.

Privacy and control: Your data and your code never leave your machine. For proprietary or regulated work, that alone can settle the question. A solo lawyer can run qwen2.5:14b locally to summarize privileged client contracts, so none of that text ever touches a vendor's server.

No limits or metering: A local model runs as often and as hard as your hardware allows, day or night, with every request costing nothing but electricity. A support team can point granite3.3:2b at a backlog of 50,000 tickets to tag and route them overnight, a job that runs for the cost of electricity instead of a per-token bill.

Offline usage