Designing AI control planes: Platform patterns for reliable and cost-aware GenAI

Generative AI introduces operational challenges that traditional platform designs were never built to handle. This session explores the concept of an AI control plane, including how platform teams can manage model execution, data access, isolation, and cost as shared services. It covers design patterns for scheduling AI workloads, enforcing policy, and maintaining observability across environments. Rather than focusing on tools, the talk emphasizes architectural decisions that allow platforms to evolve as models change, enabling sustainable GenAI operations without creating brittle or overengineered systems.