Running code and AI inference close to the user instead of in a central data center.
2 min readupdated 2026-06-21
/ quick answer
Edge Computing executes workloads on a globally distributed network — Cloudflare Workers, Vercel Edge, Fastly Compute — so requests are served from a location near the user. For AI apps it cuts latency on streaming responses and lowers cost on light inference and routing logic.
Running code and AI inference close to the user instead of in a central data center. Edge Computing executes workloads on a globally distributed network — Cloudflare Workers, Vercel Edge, Fastly Compute — so requests are served from a location near the user. For AI apps it cuts latency on streaming responses and lowers cost on light inference and routing logic. In practice: A chatbot's auth, rate limiting and prompt routing run on the edge; only the heavy LLM call hits a centralized GPU region, keeping perceived latency under 200 ms. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
Edge Computing executes workloads on a globally distributed network — Cloudflare Workers, Vercel Edge, Fastly Compute — so requests are served from a location near the user. For AI apps it cuts latency on streaming responses and lowers cost on light inference and routing logic.
Example
A chatbot's auth, rate limiting and prompt routing run on the edge; only the heavy LLM call hits a centralized GPU region, keeping perceived latency under 200 ms.
Edge Computing executes workloads on a globally distributed network — Cloudflare Workers, Vercel Edge, Fastly Compute — so requests are served from a location near the user. For AI apps it cuts latency on streaming responses and lowers cost on light inference and routing logic.
What is an example of Edge Computing?
A chatbot's auth, rate limiting and prompt routing run on the edge; only the heavy LLM call hits a centralized GPU region, keeping perceived latency under 200 ms.
Why does Edge Computing matter for AI and automation?
Running code and AI inference close to the user instead of in a central data center. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.