slurm-hpc-operator

You can discover available partitions and GPU resources on a Slurm HPC cluster by inspecting site-specific configurations. This process verifies available partitions, node limits, and GPU options without making assumptions about the cluster state.

You validate an sbatch job submission by performing a dry-run and checking the script against cluster policies. This ensures resource allocation requests match available partitions and prevents common job submission errors.

You diagnose a pending Slurm job by using Slurm's monitoring tools to check job status and review cluster policies. This helps identify resource constraints, partition limits, or scheduling priorities currently blocking the job.

Yes, you need Slurm CLI tools installed to operate HPC clusters with this agent. It relies on native command-line interfaces like sbatch, salloc, and srun to validate and submit jobs directly to the cluster environment.

The best way to safely allocate GPUs in Slurm is to first discover available GPU types and partitions, then validate your resource request against cluster policies. This ensures your job targets hardware that actually exists on the cluster.

Yes, you can use srun and salloc for interactive jobs on a Slurm cluster. The agent guides you in constructing and validating these commands to ensure your resource allocation requests comply with site-specific policies.