GPU scheduling is the process of managing and assigning computing tasks to available Graphics Processing Units (GPUs) so that workloads can run efficiently. A scheduling system determines which tasks should use specific GPUs, when they should run, and how available resources should be shared among different applications or users.
GPU scheduling is especially important in data centers, cloud platforms, artificial intelligence, machine learning, and high-performance computing environments. It can distribute workloads across multiple GPUs, prioritize important tasks, and prevent resources from remaining unused. Effective scheduling helps improve GPU utilization, reduce waiting time, and support multiple workloads at the same time. It may also consider factors such as memory requirements, processing capacity, task priority, and available GPU resources when deciding where each workload should run.
