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Koordinator vs Moab HPC Suite

Koordinator

koordinator.sh

Moab HPC Suite

adaptivecomputing.com

Side by side

FigureKoordinatorMoab HPC Suite
Price from——
Free plan——
Free trial——
Open source——
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published01
Spec score · GPU Cluster Management Software7.5 (#10)7.2 (#14)
PurposeKoordinator is a QoS-based scheduling system for efficient orchestration of microservices, AI and big-data workloads on Kubernetes.Moab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure.

Plans

Koordinator

No plans published.

Koordinator pricing →

Moab HPC Suite

  • Moab HPC SuitePriced on request

Moab HPC Suite pricing →

In their own words

Koordinator

Koordinator is a free, self-hosted QoS scheduling system for Kubernetes microservices, AI, big-data, audio, and video workloads. It adds priority and quality-of-service controls so different pods and workload types can share nodes. Application profiling supports resource overcommitment while preserving QoS guarantees, and fine-grained isolation targets latency-sensitive work alongside batch jobs. Customizable policies cover Web Service, Spark, Presto, TensorFlow, and PyTorch. QoSManager tunes pod isolation using profiling, interference detection, and SLO settings. Koord-Queue supports TFJob, PyTorchJob, Spark, Argo Workflow, Ray, and native Kubernetes Jobs, with Kueue AdmissionCheck compatibility. YARN Copilot connects Hadoop YARN jobs with Kubernetes pods. Koordinator works alongside kube-scheduler, using control-plane and node components without invasive native changes. Helm 3.5 or newer and Kubernetes 1.18 or newer are required.

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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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