A system administrator wants to configure MIG for seven slices on an H100 GPU in...

The correct answer is mig-parted. NVIDIA MIG Partition Editor, commonly called mig-parted, is designed to automate and manage Multi-Instance GPU partitioning profiles, especially in environments where repeatable MIG layouts are required. An H100 GPU can be divided into multiple isolated GPU instances, and a seven-slice configuration is a common profile pattern for maximizing the number of smaller MIG instances on a single GPU. While nvidia-smi can enable MIG mode and manually create or destroy GPU instances, mig-parted is better suited when an administrator needs to apply defined MIG profiles consistently across HGX systems or multiple nodes. nvcc is the CUDA compiler and has no role in configuring MIG partitions. nvlink-config is not the correct utility for MIG profile configuration. In NVIDIA AI infrastructure, MIG configuration must be controlled carefully because Kubernetes device plugins, GPU Operator, Slurm GRES configuration, and tenant scheduling depend on consistent GPU instance layouts. Using mig-parted helps reduce manual errors and supports repeatable server bring-up for shared inference or multi-tenant AI environments.