A distributed computing model that brings computation and storage closer to where data is generated, cutting latency and saving bandwidth.
In manufacturing and logistics, Edge Computing lets AI process sensor data and camera feeds directly on the factory floor. Without the latency of cloud round trips, autonomous systems can make decisions in real time. This typically calls for quantized models optimized for constrained hardware.
See also Data Mobilization, Data Lakehouse and Vector Database.