Cast AI, the leading Kubernetes automation platform, is expanding its capabilities beyond hyperscalers (AWS, Azure, GCP) to support on-premises Kubernetes clusters and additional cloud providers, including Red Hat OpenShift, Rancher, Oracle Cloud, IBM Cloud, Linode, and more.
As organizations increasingly adopt hybrid and multi-cloud strategies, managing Kubernetes across on-premises infrastructure and public cloud providers presents significant operational challenges. Cast AI’s new solution enables DevOps and platform teams to automate workload resource management, reduce costs, and improve performance regardless of their cloud provider.
“Many existing and prospective customers have been asking us to extend Cast AI’s automation and cost-saving capabilities beyond AWS, Azure, and GCP. Today, I’m very excited to share that customers can now run Cast everywhere they run Kubernetes clusters,” said Laurent Gil, Co-founder and president at Cast AI. “By automatically managing compute resources and rightsizing workloads, we ensure continuous performance across all Kubernetes environments without manual intervention, enabling organizations to maximize efficiency while retaining full control over their deployments.”
This latest innovation reinforces Cast AI’s commitment to expanding its platform’s capabilities to deliver a fully automated Kubernetes experience.
To learn more about Cast AI’s new solution for on-prem and alternative cloud environments, visit cast.ai.
