Multi-cloud GPU capacity lets a single Kubernetes cluster source scarce GPUs, TPUs, and CPU from any cloud or region through one control plane, so AI inference and batch workloads run wherever capacity is available without application code changes. This is how teams deploy more AI on fewer GPUs and get past regional shortages. The post Multi-Cloud and Cross-Region GPU Capacity for Kubernetes AI appeared first on Cast AI .