Overview

Slurm is an open source workload manager and job scheduler for AI and HPC workloads on Linux Clusters. It gives jobs access to compute nodes, starts and monitors them, and keeps pending jobs in a queue.

OneSlurm deploys a Slurm Cluster on OpenNebula as a OneFlow service. The service has two roles:

Both roles come together in the Service OneSlurm appliance of the OpenNebula Public Marketplace. The controller publishes the Cluster data through OneGate, and each worker reads it and joins the Cluster without manual steps.

Optional features are set when you create the service:

• Shared user accounts through a local or an external LDAP directory.
• Shared /home and /scratch from NFS exports.
• NVIDIA GPUs attached to the workers.
• InfiniBand for MPI jobs.

How Should I Read This Chapter

1. Check Requirements and Preparation.
2. Deploy a first Cluster with the Quick Start Guide.
3. Read Core Concepts to understand how the controller and the workers work together.

Then use the Management pages for daily operation:

• Cluster Lifecycle Management
• Cluster Configuration
• Worker Profiles and Accelerators
• Identity Management
• Shared Storage
• InfiniBand and High-Performance Networking
• Monitoring and Troubleshooting

The References pages list the Service Architecture, every Configuration Parameter, the CLI commands and the API calls.

There is also a OneSlurm tutorial with NVIDIA GPUs in the AI Factory Blueprints.

Release Notes

The Service OneSlurm page of the Marketplace shows the current version, the guest OS and the supported OpenNebula versions. The one-apps release page lists the changes of each version.

Known Limitations