Local AI 1 story

Local AI is about running artificial-intelligence workloads on hardware you control instead of depending entirely on a remote service. This category covers on-device models, local inference, model storage, hardware requirements, privacy considerations, offline use, performance trade-offs and the software used to manage local workloads. It differs from AI Tools by focusing on where computation happens and how it is operated. Readers get practical guidance for judging feasibility, resource needs, privacy benefits and operational limits.