Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms

This post discusses the challenges of leveraging distributed resources for AI workloads and the role of Kubernetes in addressing these challenges. The k0smos stack is highlighted as a solution for operating geo-distributed AI infrastructure, divided into three technical layers: k0s, k0smotron, and k0rdent. Field studies conducted using this stack demonstrate the feasibility of running AI workloads across dynamic, energy-aware orchestration models.