NCA-AIIO: AI Infrastructure and OperationsDemo

By NVIDIA · Question Mode

QuestionQ103

AI and Data Science

Why is Slurm broadly used as a workload manager in AI and HPC clusters?

  • A It continuously monitors facility-level power infrastructure and automatically reconfigures data center electrical distribution during peak demand.
  • B It provides robust, policy-driven job scheduling with support for queues, priorities, reservations, and fine-grained resource allocation for heterogeneous nodes.
  • C It dynamically overclocks GPUs and other accelerators to maximize FLOPS without requiring changes to application code.
  • D It is the only platform that can launch and manage containerized workloads across GPU-accelerated nodes in a production environment.
Explanation

Slurm provides scalable, policy-based scheduling and resource management for shared clusters. It supports queues, priorities, reservations, and fine-grained allocation of heterogeneous resources, including accelerators, which enables efficient use of AI and HPC nodes.

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