How AI Is Pushing Kubernetes Storage Beyond Its Limits

As enterprises rush to deploy AI and data-intensive applications in Kubernetes environments, standard Container Storage Interfaces (CSIs) aren’t enough to meet business requirements in the new operating model.

A decade ago, when Kubernetes first burst onto the scene, the majority of containerized workloads were stateless, saving no context across different sessions. A typical Node.js or NGINX application would be reinstantiated based on available metadata, but it wouldn’t read and write data to or from a persistence store.

The Rise of…