Custom GPU Resource Classes in Kubernetes

Custom GPU resource classes in Kubernetes enable fine-grained GPU management by creating logical GPU types from physical hardware. Instead of using the generic nvidia.com/gpu resource, administrators can define specific resource names like nvidia.com/gpu-time-slice or nvidia.com/gpu-mig-1g.5gb. This approach improves workload scheduling, enables multi-tenancy, optimizes costs by allowing GPU sharing, and provides better transparency. The feature is configured through the NVIDIA GPU Operator's Helm values and allows different allocation strategies including time-slicing, MIG instances, and fractional allocations.