Slurm Workload Manager
Slurm Workload Manager: A focused, free scheduler for self-hosted HPC and GPU workloads. Ranked #3 of 25 in Job Scheduler Software by our editors (9.0/10); pricing: Free plan; best for open-source HPC and GPU scheduling.
At a glance
- Editor score9.0 / 10
- PricingFree plan
- Best forOpen-source HPC and GPU scheduling
- Free planYes
- Paid fromFree
- Dependency controlsYes
- Founded2010 · Utah, United States
- Facts checked20 Sep 2026
Where it wins
- Allocates resources across compute nodes and manages queues
- Supports dependencies, requeueing, monitoring, and accounting
- Provides GPU management and optional REST API access
Where it doesn't
- Requires a Linux, self-hosted deployment
- Has a specialized ecosystem with few listed integrations
- Commercial support and development services are separate from the free software
Our verdict on Slurm Workload Manager
Slurm Workload Manager is an open-source cluster management and job scheduling system for Linux environments. It is designed for teams running self-hosted compute infrastructure, including high-performance computing and AI workloads. Slurm allocates resources across compute nodes, queues pending jobs, launches and monitors parallel work, and supports both small and large clusters. Its scheduling controls include reservations, prioritization, backfill scheduling, resource limits, dependencies, conditional execution, and job requeueing after failures, node failures, or preemption.
The core software is free and open source. SchedMD separately offers commercial support and development services, giving organizations a path to paid assistance or engineering work while keeping the scheduler itself open source. Slurm’s feature set covers operational needs that matter in shared compute environments: accounting, resource-limit management, email notifications for job events, and monitoring of parallel execution. These controls make it a strong fit for teams that need to coordinate competing workloads rather than simply run individual scheduled tasks.
Slurm’s main trade-off is its focused deployment model. The published platform scope is Linux, API, and self-hosted, and the product has few listed platform integrations. That makes it a natural choice for organizations able to operate their own Linux clusters and manage scheduling infrastructure directly. Teams seeking a broader integration catalog or a deployment model outside self-hosted Linux environments should consider a different job scheduler. For HPC, GPU, and accelerator workloads where resource allocation, queues, dependencies, recovery, and accounting are central requirements, Slurm is the more aligned option.
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Slurm Workload Manager pricing
Slurm Workload Manager fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Self-hosted |
| Dependency controls | Yes |
| Retry and recovery | Yes |
| Monitoring and alerts | Yes |
| Agent-based execution | Yes |
| Concurrent job limit | Not verified |
| Deployment | Self-hosted |
| Platforms | Linux |
| Support | Tickets, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | slurm.schedmd.com |
| Facts checked | 20 Sep 2026 |
Alternatives to Slurm Workload Manager
- BMC Control-MA broad scheduler for governed enterprise automation, with a high starting price.9.4
- IBM Workload SchedulerA comprehensive scheduler for organizations coordinating complex hybrid workloads.9.2
- ActiveBatchA mature scheduler for complex, distributed workflows, with quote-based pricing.8.8
See all Slurm Workload Manager alternatives →
Slurm Workload Manager vs the competition
- Slurm Workload Manager vs BMC Control-M
- Slurm Workload Manager vs IBM Workload Scheduler
- Slurm Workload Manager vs ActiveBatch
- Slurm Workload Manager vs RunMyJobs by Redwood
- Slurm Workload Manager vs JAMS Scheduler
- Slurm Workload Manager vs Stonebranch Universal Automation Center
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Also Ranked In
Slurm Workload Manager is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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