Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4

Many AI workloads need only a fraction of a GPU, and giving each one a whole device can leave capacity idle, so sharing GPUs lets platform teams serve more workloads with existing infrastructure. NVIDIA GPUs already support several sharing approaches, including Multi-instance GPU (MIG), which splits a GPU into hardware-isolated instances that are transparent to the application.