Edge Computing

Edge computing moves computation and data storage closer to the location where it is needed, reducing latency and bandwidth usage. It enables real-time processing and decision-making by distributing computing resources across a network of edge devices and local servers. Edge computing architectures typically involve layers of processing capabilities, from IoT devices through edge nodes to central cloud resources, with each layer handling appropriate levels of computation based on latency requirements, processing needs, and power constraints.

Real-time video analytics, autonomous vehicles, industrial IoT, smart cities, augmented reality applications, mobile AI applications