NVIDIA Base Command Manager vs Slurm Workload Manager
NVIDIA Base Command Manager
nvidia.comSlurm Workload Manager
slurm.schedmd.comSide by side
| Figure | NVIDIA Base Command Manager | Slurm Workload Manager |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · GPU Cluster Management Software | 6.5 (#17) | 7.5 (#11) |
Plans
NVIDIA Base Command Manager
- Free-to-use Base Command ManagerFree
- Base Command Manager with standalone supportPriced on request
- NVIDIA AI EnterprisePriced on request
- NVIDIA Mission ControlPriced on request
In their own words
NVIDIA Base Command Manager
NVIDIA Base Command Manager provides Linux and web tools for deploying and administering compute environments. It supports OS image deployment, PXE bootstrapping, lifecycle management, hardware inventory, API access, and out-of-band management. The Free-to-use Base Command Manager plan costs nothing and allows 8 accelerators per server, node, or system, with no limit on the number of servers, nodes, or systems. A standalone-support option combines the manager license with NVIDIA Enterprise Support. NVIDIA AI Enterprise adds GPU Operator, Network Operator, vGPU, and AI and data-science software. NVIDIA Mission Control includes Run:ai, UFM, NetQ, and additional Mission Control capabilities. The product therefore offers a no-cost base tier alongside options that add support or broader NVIDIA management and software capabilities.
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.