
Edge computing - Wikipedia
Edge computing involves running computer programs that deliver quick responses close to where requests are made.
What Is Edge Computing? | Microsoft Azure
Edge computing brings intelligence to devices, sensors, and remote locations for instant insights and real-time decisions. Edge computing extends beyond traditional IT infrastructure and helps reshape …
What is edge computing? - IBM
Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers.
What is Edge Computing? - Edge Computing Explained - AWS
Edge computing is the process of bringing information storage and computing abilities closer to the devices that produce that information and the users who consume it.
What is Edge Computing? Understanding the Future of Real-Time …
Apr 9, 2025 · At its core, edge computing refers to the practice of processing data closer to where it is generated, rather than sending it to a distant cloud server or data center.
What is Edge Computing – Distributed architecture - Cisco
Edge computing is a distributed IT architecture that processes data close to its source using local compute, storage, networking, and security technologies. By being nearer to where data is …
Understanding edge computing - Red Hat
Nov 3, 2022 · Edge computing refers to a model that distributes compute resources out to a network's "edge."
Edge Computing: Definition, Architecture & Use Cases - phoenixNAP
Oct 20, 2025 · Edge computing is a type of computing that takes place at or near the edge of a network. The processing occurs either within or close to the device, so less data travels to the central server.
What Is Edge Computing? - Coursera
Mar 19, 2025 · Edge computing places computing centers (computers or enterprise applications) closer to the data source to improve processing speeds and enable more comprehensive analysis.
What is Edge Computing? Everything You Need to Know
Jun 6, 2025 · Edge computing is a distributed computing model that processes data closer to its source. It helps reduce latency, bandwidth usage, and dependence on central cloud infrastructure.