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NVIDIA Base Command Manager vs Slurm Workload Manager

NVIDIA Base Command Manager

nvidia.com

Slurm Workload Manager

slurm.schedmd.com

Side by side

FigureNVIDIA Base Command ManagerSlurm Workload Manager
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
LinuxYesYes
API—Yes
Self-hosted—Yes
Plans published41
Spec score · GPU Cluster Management Software6.5 (#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

NVIDIA Base Command Manager pricing →

Slurm Workload Manager

  • SlurmFree

Slurm Workload Manager pricing →

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.

Visit nvidia.com

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.

Visit slurm.schedmd.com