Managing enterprise AI at scale: Hosting, deployment patterns, and Day 2 operations

In our previous article, Enterprise AI model selection: Balancing performance, privacy, and operational fit, we described the 4 layers that make up an effective enterprise AI architecture. In this article, we’ll talk about who operates each layer, where workloads run (managed APIs, self-hosting, or hybrid), and how Red Hat AI Enterprise provides all 4 layers as a tightly integrated production AI system. We’ll also cover some deployment implications for RAG, fine-tuning, and agents, and some considerations around Day 2 operations.Managed APIs versus self-hostingWhen you’re building out your AI