MIGER: Integrating Multi-Instance GPU and Multi-Process Service for Deep Learning Clusters

Modern NVIDIA GPUs, known for their powerful computational abilities, have been widely adopted by data centers. These GPUs often use space-sharing techniques, such as Multi-Process Service (MPS) and Multi-Instance GPU (MIG), to run multiple workloads on a GPU concurrently. However, our findings reveal that there are issues such as performance interference and inflexible resource size for these techniques when they are used individually.