As organizations scale their AI and machine learning workloads on Amazon Elastic Kubernetes Service (Amazon EKS), GPU instances often represent the largest portion of compute costs. Without granular visibility into how these resources are consumed, teams struggle to attribute costs accurately. Consider a shared EKS cluster where Team A (Research) runs experimental ML models on […]