Kubex is an AI-powered cloud infrastructure optimization platform designed to automate Kubernetes resource management and improve compute efficiency across enterprise environments. The software uses deterministic machine learning to analyze historical workload behavior, predict resource requirements, and identify opportunities to reduce infrastructure waste. Its container rightsizing capabilities continuously optimize CPU and memory requests and limits while accounting for workload peaks, out-of-memory events, and performance requirements. Node optimization tools recommend appropriate instance types, adjust cluster capacity, and coordinate with Karpenter and Kubernetes autoscaling components. Kubex also provides intelligent pod bin packing, Horizontal Pod Autoscaler tuning, and JVM memory optimization to improve resource utilization across applications. For AI infrastructure, the platform supports GPU sharing, memory allocation, KV cache optimization, and continuous vLLM inference tuning. Its AI agent allows engineers to investigate infrastructure behavior using natural language, review proposed changes, and automate approved optimization tasks. Policy-based automation includes configurable guardrails, approval workflows, maintenance windows, safety checks, and rollback capabilities to maintain operational control. Kubex supports AWS, Azure, Google Cloud, OpenShift, and other Kubernetes environments, with Model Context Protocol integrations and flexible SaaS or self-hosted deployment options.