AI teams must decide where workloads should run without compromising governance, performance, cost, or regulatory requirements. This session compares Microsoft Foundry on Azure with Foundry Local, explaining how these complementary approaches support cloud and edge deployments.

Designed for architects, technical decision-makers, and consultants, the session uses real-world scenarios to examine what each platform offers and which business and operational constraints should shape the deployment decision. You will learn how cloud and local models can coexist, how to evaluate their trade-offs, and how to align platform choices with responsible AI adoption. Attendees will leave with a practical understanding of when to use each approach and how to make deployment decisions that support both innovation and organizational requirements.