What is Edge Computing?
Edge computing processes data near the source of data generation rather than in a centralized cloud data center.
Edge computing processes data near the source of data generation rather than in a centralized cloud data center. By moving computation closer to users, edge computing reduces latency, bandwidth costs, and privacy exposure.
Edge computing tiers: device edge (processing on IoT devices), access edge (processing at cell towers or ISP points of presence), and cloud edge (CDN nodes and regional data centers like Cloudflare Workers).
Use cases: real-time AI inference (autonomous vehicles, industrial IoT), content delivery (video streaming, gaming), privacy-sensitive processing (data stays local), and latency-critical applications (trading, real-time collaboration).
For web applications, edge computing through platforms like Cloudflare Workers, Vercel Edge Functions, and Deno Deploy enables server-side rendering and API responses in milliseconds by running code in 200+ locations worldwide.
Why It Matters
Edge computing enables new application categories that require <10ms latency, reduces cloud bandwidth costs for data-intensive applications, and addresses data sovereignty requirements by processing data in-region.
Frequently Asked Questions
What is edge computing?
Processing data near the source rather than in centralized cloud data centers. Reduces latency, bandwidth costs, and enables real-time applications.
When should I use edge computing?
When latency matters (<10ms), when bandwidth costs are significant, when data must stay in-region for compliance, or when you need offline-capable functionality.
Related Terms
Need Expert Help?
Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.
Book Advisory Call →