A local model can run on a laptop, workstation, private server, or other user-controlled hardware. It can provide control over availability, model version, data handling, customization, and integration with local tools.
Local operation is limited by hardware, runtime support, maintenance, and security. Smaller or quantized models may fit consumer devices, while training or larger inference workloads require stronger compute and careful resource management.
ELI5
A local model is an AI model stored and run on hardware controlled by the user or organization. Prompts do not need to be sent to a hosted model provider for every response.
For example, a company can run a document model on a private server so sensitive files stay inside its environment. The company then becomes responsible for hardware, security updates, model licenses, storage, and performance.
Why run a model locally?
Local operation can provide more control over data, availability, versions, customization, cost, and integration with device resources.
Can every AI model run on a personal computer?
No. Model size, quantization, memory, compute, runtime support, and task requirements determine which systems fit a device.
