Deploying a Slurm Cluster on Rocky Linux 8+ and Ubuntu 22.04/24.04 With GPU (GRES) Support, HA Architecture, and Best Practices 1. Introduction Slurm (Simple Linux Utility for Resource Management) is a highly scalable, open-source workload manager widely used in HPC, AI/ML, and GPU clusters . It provides efficient job scheduling, resource allocation (CPU, memory, GPU), and accounting with minimal overhead. In this guide, we walk through deploying a production-ready Slurm cluster with: Rocky Linux 8+ and Ubuntu 22.04 / 24.04 Munge authentication MariaDB-based accounting ( slurmdbd ) NFS shared filesystem NVIDIA GPU scheduling using GRES High Availability (HA) Slurmctld architecture Slurm tuning & operational best practices This setup is suitable for learning, benchmarking, AI workloads, and small-to-medium production clusters . 2. Slurm Cluster Architecture 2.1 Core Components Component Description slurmctld Central scheduler and controller slurmd Compute nod...
