Optimizing Multi-Cluster Workloads with MCO

This chapter explores the Multi-Cluster Orchestrator (MCO) and its critical role in managing multi-cluster inferencing engines. It discusses the challenges of workload scaling across various regions, focusing on optimizing resource use and reducing costs in environments with complex inference demands. The chapter also emphasizes the creation and maintenance of cluster profiles, as well as the synchronization of cluster information to enhance operational efficiency.