AI runtime is an umbrella term. Begin with the definition, then identify the execution layer, workload, deployment boundary, and operating responsibilities that matter.
AI Runtime Overview
A precise umbrella definition and the responsibilities owned by each layer.
AI Runtime Taxonomy
Category boundaries, commonly confused terms, and cross-layer products.
How AI Runtimes Work
The model-execution and request-execution paths through a production system.
Runtime Stack Diagram
An accessible visual and text map of all seven layers.
Glossary
Concise definitions for runtime, serving, deployment, agentic, and observability terms.
Use Cases
Reference architectures for assistants, agents, browsers, edge systems, and analytical workflows.