Slurm for AI Clusters

Slurm is the scheduler most large training clusters still run, because it was built for exactly this shape of work: long jobs that need many nodes at once, launched with one command, placed with knowledge of the network. A candidate for a training-infrastructure role is expected to read an sbatch script, know how GPUs are requested and enforced, and explain why a job is stuck in the queue. This page covers the model, the commands that matter, the GPU-specific configuration, and the failure modes a platform engineer meets.