Useful ideas for a connected stack.

A clear view of the delivery stack

CDNML.com explores the intersection of content delivery networks, machine learning, and edge AI. Our aim is to make infrastructure decisions easier to understand: what each layer does, where the tradeoffs live, and which questions to answer before making a change.

The site is written for developers, technical founders, platform teams, and curious builders. You can start with a foundational explanation or move directly into a focused guide on cache behavior, model distribution, request routing, or operational measurement.

What you will find here

• Content delivery: caching fundamentals, predictive warming, and safe reuse of API responses.
• Edge AI: the practical differences between device, regional, and cloud inference.
• Model operations: artifact delivery, LLM routing, reliability, and security boundaries.
• Measurement: latency distributions, cache efficiency, observability, and engineering cost models.

Our topic pages provide an orientation. The Edge Intelligence Journal takes individual decisions further with worked scenarios, failure cases, and implementation questions.

How we approach technical guidance

We distinguish between a protocol requirement, a provider-specific behavior, and an architectural suggestion. A cache setting that works for public documentation may be inappropriate for personalized API responses. A local model that performs well on one device may not be suitable for every audience.

Articles link to a primary reference for the key technical discussion. Examples explain their assumptions, and illustrative numbers are identified as such. We favor decisions that can be measured, inspected, and reversed over broad promises about performance.

Choose a starting point

If you are new to the subject, begin with CDN machine learning fundamentals. If you already have a workload in mind, the guide directory organizes articles around delivery, inference, and operations.

For a correction, a topic suggestion, or a project conversation, visit the Contact page or email [email protected]. Include the page or decision you want to discuss so the conversation can start with the right context.