Azure OpenAI Architecture: The Decisions That Actually Matter (Part 3) (opens in new tab)

Introduction Part 1 of this series tackled the architectural decisions that shape any Azure OpenAI / Microsoft Foundry Models workload — capacity model, deployment scope, governance layer, grounding strategy, and quota engineering. Part 2 turned those decisions into a Well-Architected Framework discipline. Part 3 looks at the part that makes GenAI architecture genuinely different from a traditional service: the platform itself never stops moving. Models are released, promoted to GA, moved to ...