Content Delivery Network
A geographically distributed network of proxy servers that caches and delivers content from locations closest to end users. CDNs reduce latency, improve load times, and absorb traffic spikes by serving content from edge nodes rather than a single origin server.
A CDN works by replicating your content across dozens or hundreds of Points of Presence worldwide. When a user requests a resource, the CDN routes them to the nearest edge server, dramatically reducing the round-trip time compared to fetching from a distant origin. Modern CDNs go beyond static file caching to support dynamic content acceleration, edge computing, DDoS protection, and TLS termination.
For AI-powered products, CDNs are critical because AI features often increase page weight through additional JavaScript for inference, larger assets for rich interfaces, and API calls to model endpoints. A well-configured CDN ensures that static assets load instantly while API requests to AI services route optimally. Growth teams should leverage CDN analytics to identify geographic regions with poor performance, since slow AI feature load times directly correlate with lower adoption rates. Edge caching of personalized AI responses, where privacy allows, can reduce perceived latency and improve the user experience for returning visitors.
Related Terms
Edge Computing
A distributed computing paradigm that processes data closer to the source of generation rather than in a centralized data center. Edge computing reduces latency, conserves bandwidth, and enables real-time processing for latency-sensitive applications.
Serverless Computing
A cloud execution model where the provider dynamically manages server allocation and scaling. Developers deploy functions or containers without provisioning infrastructure, paying only for actual compute time consumed rather than reserved capacity.
Function as a Service
A serverless computing category where developers deploy individual functions that execute in response to events. FaaS platforms like AWS Lambda, Google Cloud Functions, and Azure Functions handle all infrastructure management, scaling each function independently.
Platform as a Service
A cloud computing model that provides a complete development and deployment environment without managing underlying infrastructure. PaaS offerings like Heroku, Vercel, and Google App Engine handle servers, storage, networking, and runtime configuration.
Infrastructure as a Service
A cloud computing model that provides virtualized computing resources over the internet. IaaS offerings like AWS EC2, Google Compute Engine, and Azure Virtual Machines give teams full control over servers, storage, and networking without owning physical hardware.
Container Orchestration
The automated management of containerized applications across a cluster of machines, handling deployment, scaling, networking, and health monitoring. Kubernetes is the dominant orchestration platform, providing declarative configuration for complex distributed systems.