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Moab HPC Suite

What it is

Moab HPC Suite is self-hosted Linux software for scheduling workloads and managing resources across high-performance computing infrastructure. Its scheduling algorithms place jobs and allocate resources to improve cluster utilization and reduce wait times. Automatic workload balancing and priority management direct capacity toward critical jobs, while administrators define policies for scheduling, resource allocation, and user access. Multiple HPC clusters can be managed through one interface with unified monitoring and control. Reporting and analytics cover cluster performance and resource use, including GPU utilization metrics. The suite describes high-availability architecture with failover for critical workloads. Enterprise Edition documentation names Moab Workload Manager, Moab Web Services, Moab Accounting Manager, and TORQUE Resource Manager as components. Moab Web Services provides a REST interface for jobs, nodes, virtual machines, and reservations. Documentation lists TORQUE 5.0.1 and SLURM as supported resource managers. Installation guidance covers manual and RPM approaches plus Red Hat, SUSE, and Ubuntu-based systems. Pricing is on request; downloads require an appropriately authorized account.

For and against

For

  • Optimizes job placement and resource allocation
  • Balances workloads and prioritizes critical jobs
  • Manages multiple clusters through one interface
  • Provides high-availability failover architecture
  • Supports TORQUE and SLURM resource managers

Against

  • Pricing is on request
  • Deployment is self-hosted on Linux
  • Downloads require an authorized account
  • Support cases require a support services contract

The verdict

Moab HPC Suite focuses on centralized HPC scheduling, policy control, analytics, and cluster reliability. Its self-hosted deployment and account-based downloads make infrastructure planning and support coverage part of adoption decisions.

Who it suits

It suits HPC administrators and organizations managing Linux clusters that need policy-based scheduling, resource controls, multi-cluster monitoring, and REST access.

Plans and prices

Moab HPC Suite

Priced on request

Pricing not stated on the product page; contact Adaptive Computing for details

Every plan, in full

On the record

Analytics
The suite provides reporting and analytics about cluster performance and resource use.adaptivecomputing.com · read 8 Oct 2026
API
Moab Web Services provides a RESTful interface for programmatic interaction with Moab Workload Manager and its jobs, nodes, virtual machines, and reservations.docs.adaptivecomputing.com · read 8 Oct 2026
Company
Adaptive Computing says it was founded in 2001 and lists its address as 1100 5th Ave S., Suite 201, Naples, Florida 34102, United States.adaptivecomputing.com · read 8 Oct 2026
Components
The Enterprise Edition documentation lists Moab Workload Manager, Moab Web Services, Moab Accounting Manager, and TORQUE Resource Manager as suite components.docs.adaptivecomputing.com · read 8 Oct 2026
Current documentation
The support portal lists Moab HPC Suite 10.1.0 documentation, including installation guides for Red Hat, SUSE, and Ubuntu-based systems.support.adaptivecomputing.com · read 8 Oct 2026
Deployment
The suite documentation describes manual and RPM installation approaches and recommends testing upgrades in an environment that mirrors production.docs.adaptivecomputing.com · read 8 Oct 2026
Downloads
Downloading Moab HPC Suite requires an account with appropriate rights.support.adaptivecomputing.com · read 8 Oct 2026
Multi-cluster
The product page says multiple HPC clusters can be managed through a single interface with unified monitoring and control.adaptivecomputing.com · read 8 Oct 2026
Policies
Administrators can define policies for job scheduling, resource allocation, and user access control.adaptivecomputing.com · read 8 Oct 2026
Purpose
Moab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure.adaptivecomputing.com · read 8 Oct 2026
Reliability
The product page describes high availability architecture with failover capabilities for continuous operation of critical workloads.adaptivecomputing.com · read 8 Oct 2026
Resource management
Automatic workload balancing and priority management allocate resources to critical jobs.adaptivecomputing.com · read 8 Oct 2026
Resource manager support
The 8.0.1 requirements documentation lists TORQUE 5.0.1 and SLURM as supported resource managers.docs.adaptivecomputing.com · read 8 Oct 2026
Scheduling
Its scheduling algorithms optimize job placement and resource allocation to improve cluster utilization and reduce wait times.adaptivecomputing.com · read 8 Oct 2026
Support
Customers with a support services contract can submit unresolved support cases by email for help from a technical support specialist.support.adaptivecomputing.com · read 8 Oct 2026

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