AI Infrastructure Runs On Kubernetes. Is Your Platform Ready?

The Fairwinds blog post explains why Kubernetes has become the de facto platform for AI workloads and details the unique operational, storage, compute, and governance pressures AI places on clusters (e.g., GPU scheduling, data gravity, driver immutability, and hybrid-cloud concerns). It recommends platform design, policy enforcement, observability, and governance improvements for making Kubernetes "AI-ready," and positions Fairwinds as a provider of assessments and governance tooling to help teams scale AI on Kubernetes.