As a high-cost and scarce infrastructure resource, GPUs require specialized monitoring across workloads, MIG, and Kubernetes to reduce waste and maximize efficiency. This whitepaper outlines how advanced GPU monitoring minimizes resource conflicts while optimizing AI infrastructure costs and governance.