edge computing
A distributed computing paradigm that processes data near the source of generation, reducing latency and bandwidth usage compared to centralized cloud models.
Edge computing is an approach that brings computation and data storage closer to the devices and sensors generating data, rather than relying solely on centralized cloud servers. By processing information at or near the edge of the network, this paradigm reduces latency, minimizes bandwidth consumption, and enables real-time decision-making for time-sensitive applications.
Edge computing is critical for use cases such as IoT, autonomous vehicles, industrial automation, and remote monitoring, where immediate responses and local data processing are essential. It enhances privacy, reliability, and scalability by distributing workloads across geographically dispersed nodes.
In AI cloud environments, edge computing supports intelligent data filtering, pre-processing, and analytics, enabling organizations to deploy AI-powered solutions in diverse and resource-constrained locations.