A few years ago, running large language models on your own machine felt like a weekend experiment. In 2026, it feels normal.

Local LLMs have quietly moved from “cool demo” to a practical setup that many developers, researchers, and even non-technical users rely on daily. The reason is simple: the models have improved, and the tooling has matured....