---
title: Edge Computing
description: Page on Vedang Vatsa's site: https://veda.ng/glossary/edge-computing
canonical: https://veda.ng/glossary/edge-computing
last_updated: 2026-09-22
type: text/markdown
---
# Edge Computing

Source: https://veda.ng/glossary/edge-computing
Author: Vedang Vatsa (https://veda.ng/about)

Edge computing processes data near the device or user instead of sending every byte to a distant cloud region.

Instead of uploading user data to the cloud, processing it, and sending results back, you process it locally on the edge device or on a server close to the user. This reduces latency because the processing happens nearby. It reduces bandwidth because you're not uploading terabytes of raw data. It improves privacy because sensitive data doesn't leave the local network. Content delivery networks are a form of edge computing.

They cache content on servers distributed globally. A user requests a video, the CDN serves it from a nearby server, not from the origin. Latency is low. Edge computing is increasingly important as IoT and mobile applications proliferate. A camera monitoring a warehouse processes video locally to detect anomalies, then sends only alerts to the cloud.

A phone processes voice locally for immediate response, then sends audio to the cloud for further processing if needed. Edge computing requires a different architecture than cloud computing. You can't assume unlimited compute at the edge. You need to be selective about what processing happens where. But the benefits (latency, bandwidth, and privacy) often justify the complexity. Edge computing puts compute near the user or the machine: a CDN node, a factory box, a phone. The point is latency and bandwidth.

Glossary index: https://veda.ng/glossary