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Moab HPC Suite vs Slurm Workload Manager

Moab HPC Suite

adaptivecomputing.com

Slurm Workload Manager

slurm.schedmd.com

Side by side

FigureMoab HPC SuiteSlurm Workload Manager
Price from—Free
Free plan—Yes
Free trial——
Open source——
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · GPU Cluster Management Software7.2 (#14)7.5 (#11)
PurposeMoab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure.Slurm is an open-source, fault-tolerant, highly scalable cluster management and job scheduling system for large and small Linux clusters.

Plans

Moab HPC Suite

  • Moab HPC SuitePriced on request

Moab HPC Suite pricing →

Slurm Workload Manager

  • SlurmFree

Slurm Workload Manager pricing →

In their own words

Moab HPC Suite

Moab HPC Suite is self-hosted software for scheduling workloads and managing resources across high-performance computing infrastructure. It runs on Linux and exposes an API. Scheduling algorithms place jobs and assign resources to improve cluster utilization and reduce waiting. Automatic workload balancing and priority management direct capacity toward critical jobs. Administrators can define scheduling, allocation, and user-access policies, including quota controls. The suite provides cluster-performance and resource-use reporting, GPU utilization metrics, and management of multiple HPC clusters through one interface with unified monitoring and control. Its high-availability architecture includes failover capabilities for continuous operation of critical workloads. Enterprise Edition components include Moab Workload Manager, Moab Web Services, Moab Accounting Manager, and TORQUE Resource Manager. Moab Web Services provides REST access to jobs, nodes, virtual machines, and reservations. Documentation lists TORQUE 5.0.1 and SLURM support, manual and RPM installation, and guides for Red Hat, SUSE, and Ubuntu-based systems. Pricing is available on request.

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Slurm Workload Manager

Slurm Workload Manager is free, open-source software for allocating compute resources and scheduling work across Linux clusters. It starts and monitors jobs on allocated nodes and manages queues of pending work. Optional plugins add accounting, advanced reservations, gang and backfill scheduling, topology-aware resource selection, resource limits, and multifactor job prioritization. The system uses a central slurmctld manager and slurmd daemons on compute nodes; accounting and REST components are optional. GPU plugins support NVIDIA, AMD, Intel, AWS Trainium, and AWS Inferentia accelerators, along with NVIDIA MPS and GPU sharing. Accounting can use MySQL or MariaDB and can record data in a text file, directly in a database, or through slurmdbd for multiple clusters. Slurmrestd provides REST access, but the API is not designed for direct internet exposure and supports only unencrypted HTTP. Linux is thoroughly tested on arm64, ppc64, and x86_64; FreeBSD and NetBSD support is limited, and macOS is unsupported. Deployment is self-hosted.

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