Moab HPC Suite
Moab HPC Suite schedules jobs and manages resources across high-performance computing infrastructure.
What Moab HPC Suite is
Moab HPC Suite schedules jobs and manages resources across high-performance computing infrastructure. Its scheduling algorithms determine job placement and resource allocation, aiming to raise cluster utilization and shorten wait times. Automatic workload balancing and priority management help assign resources to critical work, while administrators can set policies for scheduling, resource allocation, and user access. The suite supports management of multiple HPC clusters through one interface with shared monitoring and control, and provides performance and resource-use reporting. Enterprise Edition documentation lists Moab Workload Manager, Moab Web Services, Moab Accounting Manager, and TORQUE Resource Manager as components. Moab Web Services supplies a REST interface for interacting with jobs, nodes, virtual machines, and reservations. Requirements documentation lists TORQUE 5.0.1 and SLURM as supported resource managers. The self-hosted suite runs on Linux, with manual and RPM installation approaches documented. Pricing is on request; downloads require an account with appropriate rights. Documentation also describes a high-availability architecture with failover for critical workloads.
Good
- Schedules jobs to improve utilization and reduce wait times
- Balances workloads and prioritizes critical jobs
- Manages multiple clusters through one interface
- Provides performance and resource-use analytics
- Supports TORQUE 5.0.1 and SLURM
Watch out
- Pricing is available only on request
- Downloads require an account with appropriate rights
- Deployment is self-hosted on Linux
Who it suits
It suits teams operating HPC clusters that need workload scheduling, resource allocation policies, and visibility across clusters. Administrators should also be prepared for a self-hosted Linux deployment and to request pricing.
Verdict
Moab HPC Suite brings scheduling, resource management, policy controls, and reporting together for HPC operations. Consider it if those capabilities fit your cluster environment, and contact Adaptive Computing for pricing and download access.
Plans and prices
From Moab HPC Suite's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Moab HPC Suite | Priced on request | Pricing not stated on the product page; contact Adaptive Computing for details |
The facts
Each one read from Moab HPC Suite's own pages, with the date it was checked.
What it does
- Analytics
- The suite provides reporting and analytics about cluster performance and resource use.checked 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.checked 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.checked 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.checked 8 Oct 2026
- Deployment
- The suite documentation describes manual and RPM installation approaches and recommends testing upgrades in an environment that mirrors production.checked 8 Oct 2026
- Downloads
- Downloading Moab HPC Suite requires an account with appropriate rights.checked 8 Oct 2026
- Multi-cluster
- The product page says multiple HPC clusters can be managed through a single interface with unified monitoring and control.checked 8 Oct 2026
- Policies
- Administrators can define policies for job scheduling, resource allocation, and user access control.checked 8 Oct 2026
- Purpose
- Moab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure.checked 8 Oct 2026
- Reliability
- The product page describes high availability architecture with failover capabilities for continuous operation of critical workloads.checked 8 Oct 2026
- Resource management
- Automatic workload balancing and priority management allocate resources to critical jobs.checked 8 Oct 2026
- Resource manager support
- The 8.0.1 requirements documentation lists TORQUE 5.0.1 and SLURM as supported resource managers.checked 8 Oct 2026
- Scheduling
- Its scheduling algorithms optimize job placement and resource allocation to improve cluster utilization and reduce wait times.checked 8 Oct 2026
- Support
- Customers with a support services contract can submit unresolved support cases by email for help from a technical support specialist.checked 8 Oct 2026
The company
- 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.checked 8 Oct 2026
