
AI Driven Resource Optimization for Kubernetes, GPUs & AI Workloads
Densify (Kubex) offers an AI-powered platform focused on automating Kubernetes and cloud resource optimization, with particular strength in GPU workload management for AI/ML applications. The platform distinguishes itself through predictive analytics, full-stack visibility from containers to cloud instances, and deep automation capabilities that integrate with modern DevOps workflows.

Densify, operating under the Kubex brand, is an AI-driven analytics platform specializing in automated resource optimization for Kubernetes, GPU, and cloud infrastructure. The company leverages machine learning to eliminate human guesswork in resource management, providing precise, actionable recommendations for container, node, and instance resource settings. Their platform continuously analyzes workload behavior to deliver optimal CPU, memory, and GPU configurations while preventing common issues like out-of-memory kills and CPU throttling. The platform supports a comprehensive range of Kubernetes environments including Amazon EKS, Azure AKS, Google GKE, Red Hat OpenShift, Nutanix Karbon Platform, and Oracle OKE. Densify's solution addresses the full infrastructure stack, from individual containers to nodes to cloud instances, enabling organizations to reduce costs, improve application reliability, and minimize manual operational overhead. Their Agentic AI assistant allows users to interact with the platform through natural language queries, making advanced optimization capabilities accessible to broader teams. Densify serves industry-leading organizations seeking to automate their cloud and container resource management at scale. The company integrates seamlessly with GitOps and CI/CD workflows, enabling automated implementation of optimization recommendations through tools like their Mutating Admission Controller, ensuring continuous resource efficiency without manual intervention.