Slide 1 / 20
What Is Edge Computing?
Processing data near where it’s created, not a distant data center.
A
AiTechWorlds
AiTechWorlds
Edge computing processes data close to where it is generated instead of a distant data center, reducing latency. This visual guide covers the edge vs cloud, CDNs, edge functions, low-latency use cases, and IoT.
Processing data near where it’s created, not a distant data center.
Edge cuts distance and latency for speed.
Closer processing means faster responses.
Servers near users — CDNs, devices, local nodes.
CDNs cache content at edge locations worldwide.
Run code at the edge close to users.
Gaming, video, and AR need low latency.
Devices process data locally before the cloud.
Process locally to send less data upstream.
Edge can work without constant connectivity.
Run AI models on-device or at the edge.
More locations mean more to secure.
Fog sits between edge and cloud.
Less power and storage than central cloud.
Combine edge speed with cloud scale.
Cloudflare, AWS, and others offer edge platforms.
Sensors process data locally in real time.
In-store analytics without cloud round-trips.
When low latency or local processing is key.
Edge and AI will increasingly work together.
Join AiTechWorlds on Telegram and get daily AI tips, prompt engineering templates, coding resources, and exclusive content — 100% free!
No spam. Leave anytime.
