Scaling enterprise AI fleets with Alquimia and Red Hat OpenShift AI

Building an AI agent in a Jupyter Notebook is a solved problem. With a handful of lines of Python and a large language model (LLM) API key, you can wire up a prototype that reads emails, invokes custom tools, and responds to users. It feels like magic.But when an enterprise scales from a single developer’s passion project to a fleet of dozens of autonomous agents executing workflows across first-line support, retail assistance, or site reliability engineering (SRE) root-cause analysis, the rules change entirely.