Backend.AI
6.3#4 in gpu cluster management softwareFree planFree planWebAPILinuxSelf-hosted
VisitBackend.AI vs Moab HPC Suite
Moab HPC Suite
5.2#17 in gpu cluster management softwareAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Backend.AI | Moab HPC Suite |
|---|---|---|
| Deployment | Backend.AI can be deployed on-premises, in public cloud environments, or in a hybrid setup. | The suite documentation describes manual and RPM installation approaches and recommends testing upgrades in an environment that mirrors production. |
| Purpose | Backend.AI is an AI infrastructure platform for building, training, and serving models and running parallel computing jobs. | Moab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure. |
| Support | Lablup invites organizations to contact its team for help planning AI clusters and scaling production workloads. | Customers with a support services contract can submit unresolved support cases by email for help from a technical support specialist. |
Backend.AI plans
- Open-sourceFree
- Try-outFree
- Enterprise (cloud)Priced on request
- Enterprise (on-premises)Priced on request
Moab HPC Suite plans
- Moab HPC SuitePriced on request
Pick Backend.AI if…
Backend.AI suits teams or institutions running GPU workloads, from single-GPU home use to larger clusters. It also fits organizations seeking on-premises, cloud, hybrid, or air-gapped deployment options.
Pick Moab HPC Suite if…
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.