GPU Cost Optimization in Kubernetes: From Waste to Efficient AI Infrastructure

What Is GPU Cost Optimization? GPU cost optimization is the practice of measuring real GPU compute and memory utilization across Kubernetes workloads and matching allocation to actual demand. Kubernetes GPU cost optimization addresses a structural gap: the scheduler treats GPUs as whole devices, but inference workloads consume GPU compute and memory unevenly, leaving expensive capacity […] The post GPU Cost Optimization in Kubernetes: From Waste to Efficient AI Infrastructure appeared first on ScaleOps .