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Apache YuniKorn vs Moab HPC Suite

Apache YuniKorn

yunikorn.apache.org

Moab HPC Suite

adaptivecomputing.com

Side by side

FigureApache YuniKornMoab HPC Suite
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYes—
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · GPU Cluster Management Software8.1 (#6)7.2 (#14)
DeploymentThe project recommends deploying YuniKorn to an existing Kubernetes cluster using its Helm chart and Helm 3 or later.The suite documentation describes manual and RPM installation approaches and recommends testing upgrades in an environment that mirrors production.
PurposeApache YuniKorn is a resource scheduler for running batch, data, and machine learning workloads on Kubernetes.Moab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure.
SupportUsers can ask for help in the YuniKorn Slack #yunikorn-user channel or use the user mailing list.Customers with a support services contract can submit unresolved support cases by email for help from a technical support specialist.

Plans

Apache YuniKorn

  • Apache YuniKornFree

Apache YuniKorn pricing →

Moab HPC Suite

  • Moab HPC SuitePriced on request

Moab HPC Suite pricing →

In their own words

Apache YuniKorn

Apache YuniKorn is a resource scheduler for batch, data, and machine learning workloads on Kubernetes. It is a Kubernetes-compatible alternative to the default scheduler and is described as transparent to existing Kubernetes applications. Hierarchical queues provide fine-grained tenant controls that can reflect an organization’s structure. Scheduling features include gang scheduling, FIFO and Fair job ordering, resource fairness, reservations, and preemption. A web UI centralizes cluster capacity, utilization, and application information. YuniKorn exposes metrics through Prometheus, and project guidance covers monitoring with Prometheus and Grafana. The project recommends deployment to an existing Kubernetes cluster using its Helm chart and Helm 3 or later. The software is free under the Apache License 2.0. Releases include source tarballs, which must be built before use, and prebuilt Docker images. The project advises checking release artifacts for tampering with GPG or SHA-512. Help is available through the YuniKorn Slack #yunikorn-user channel or the user mailing list.

Visit yunikorn.apache.org

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.

Visit adaptivecomputing.com