AI Architecture is the structured design of the components, infrastructure, data flows, and services required to build and operate artificial intelligence systems. It defines how data moves through collection and processing layers into models, applications, APIs, and user-facing solutions.
A well-designed AI architecture balances scalability, performance, security, cost, and maintainability. It may combine data platforms, machine learning models, AI accelerators, cloud or edge infrastructure, APIs, orchestration tools, monitoring, and governance mechanisms. The architecture varies according to the application, from real-time computer vision at the edge to large-scale generative AI in the cloud. Related terms include MLOps, AI Infrastructure, Machine Learning Pipeline, and AI Platform
