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Kubex analyzes Kubernetes workloads and automates resource, cluster, and GPU optimization to reduce waste while maintaining application stability.

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Kubex is a Kubernetes resource optimization platform for managing container, node, and cloud infrastructure. It analyzes historical workload usage to recommend CPU and memory settings, right-size pods, optimize nodes, and improve workload placement. Features include automated and predictive pod scaling, HPA tuning, node pre-warming, and bin packing to help teams identify overprovisioning, reduce resource waste, and manage cluster capacity. For GPU and AI inference workloads, Kubex supports GPU scheduling, resource sharing and fractioning, dynamic rebalancing, and optimization of GPU types and providers. Teams can review recommendations or automate changes under policy controls. Kubex supports Kubernetes and environments including Red Hat OpenShift, Amazon EKS, Azure AKS, Google GKE, Nutanix NKP, and Oracle OKE, making it useful for platform engineering, SRE, and FinOps teams focused on cloud cost and infrastructure efficiency.

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