Moab HPC Suite
Moab HPC Suite: Governed GPU scheduling for HPC teams managing complex, heterogeneous clusters. Ranked #16 of 21 in GPU Cluster Management Software by our editors (7.5/10); pricing: Pricing on request; best for HPC teams needing governed GPU scheduling.
At a glance
- Editor score7.5 / 10
- PricingPricing on request
- Best forHPC teams needing governed GPU scheduling
- Deployment modelSelf_hosted
- Facts checked22 Sep 2026
Where it wins
- Supports batch, interactive, GPU, calendar, and service workloads
- Adds GPU metrics, throttling, reservations, fair share, and QoS controls
- Supports accounting, allocation management, and cloud bursting through Moab/NODUS
Where it doesn't
- Pricing is handled through contact sales
- Self-hosted deployment is not a managed SaaS option
- Verified integrations are limited to a focused ecosystem
Our verdict on Moab HPC Suite
Moab HPC Suite is a self-hosted workload and resource orchestration platform for high-performance computing environments. It is designed for administrators managing complex HPC systems and heterogeneous compute resources across Linux-based infrastructure. The suite covers batch and interactive scheduling, GPU resource scheduling, accounting, monitoring, web services, resource management, and policy control. An API platform is also listed, giving teams an additional way to connect operational workflows to the scheduler.
Its strongest area is governed resource allocation. Moab combines GPU scheduling with GPU utilization and health metrics, usage limits, throttling policies, reservations, resource access controls, accounting, allocation management, fair-share policies, and QoS controls. That combination suits organizations that need more than basic queue management, especially when multiple teams or workloads compete for shared GPU capacity. Cloud bursting through Moab/NODUS extends the operating model beyond the local cluster, while the suite continues to emphasize centralized policy and resource governance.
Moab HPC Suite fits environments already operating a self-hosted HPC stack and needing both interactive and batch workload handling. Its listed ecosystem includes TORQUE Resource Manager, Moab Web Services, and AWS, so buyers should assess compatibility with their existing scheduler, service, and cloud architecture before committing. Pricing is handled through contact sales rather than a published plan structure, which makes direct commercial evaluation part of the buying process. Choose Moab for policy-heavy GPU and HPC administration; consider an open-source alternative if broader verified integrations or more transparent pricing are higher priorities.
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Moab HPC Suite pricing
Moab HPC Suite fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Deployment model | Self_hosted |
| Workload scheduling | Both |
| Kubernetes support | Not verified |
| Quota controls | Yes |
| GPU utilization metrics | Yes |
| Cloud GPU support | Not verified |
| Deployment | Self-hosted, Cloud |
| Platforms | Linux |
| Support | Email, Phone, Tickets, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: TORQUE Resource Manager, Moab Web Services, AWS |
| Pricing | Pricing on request |
| Website | adaptivecomputing.com |
| Facts checked | 22 Sep 2026 |
Moab HPC Suite integrations
Moab HPC Suite lists 3 integrations on its own site.
- TORQUE Resource Manager
- Moab Web Services
- AWS
Alternatives to Moab HPC Suite
- Backend.AIA broad GPU cluster platform for teams managing shared, multi-tenant AI infrastructure.9.4
- NVIDIA Mission ControlEnterprise GPU cluster management with orchestration, observability, and automated recovery.9.2
- NVIDIA Run:aiA broad Kubernetes-native GPU control plane for training, inference, and shared infrastructure.9.0
See all Moab HPC Suite alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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