How AI describes IBM Turbonomic

IBM Turbonomic automates application resource management across hybrid and multicloud environments, continuously optimizing compute, storage, network (and GPUs) in real time to assure performance while enforcing policies. It provides full-stack visibility into applications, containers, VMs, and infrastructure, surfacing risks and delivering data-driven actions for workload right-sizing, capacity modeling, and policy-compliant scaling. It executes safe, auditable, policy-driven actions at scale across Kubernetes, VMware, and other platforms, helping reduce overprovisioning and optimize costs, with use cases including data center optimization, Kubernetes cost optimization, AI workload optimization, and cloud migration planning.