AI changed what teams ask of Kubernetes. Workloads today are more than a stateless web tier, they are an inference service with an expensive GPU behind it, an agent that behaves unpredictably, and a data path that shifts from dataset throughput to checkpoint durability to serving latency as the application matures. Today at the Reactor event , we are showing demos and announcing new capabilities to support your AI workloads.