dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
Visitdstack vs Moab HPC Suite
Moab HPC Suite
5.2#17 in gpu cluster management softwareAPILinuxSelf-hosted
VisitWhat both publish
| Fact | dstack | Moab HPC Suite |
|---|---|---|
| API | dstack offers an HTTP API for functionality not available in the CLI and for integrations that need to call the server directly. | Moab Web Services provides a RESTful interface for programmatic interaction with Moab Workload Manager and its jobs, nodes, virtual machines, and reservations. |
| Company | The terms identify dstack Inc. as a Delaware corporation with offices in Dover, Delaware, United States. | Adaptive Computing says it was founded in 2001 and lists its address as 1100 5th Ave S., Suite 201, Naples, Florida 34102, United States. |
| Deployment | The server can run on a laptop or another environment with access to the cloud and on-prem clusters being used. | The suite documentation describes manual and RPM installation approaches and recommends testing upgrades in an environment that mirrors production. |
| Purpose | dstack is an open-source orchestration layer for AI workloads on heterogeneous accelerators, including GPU clouds, Kubernetes, VMs, and bare-metal clusters. | Moab HPC Suite optimizes resource utilization and job scheduling across high-performance computing infrastructure. |
| Support | The documentation directs users to report issues on GitHub and ask questions in the dstack Discord server. | Customers with a support services contract can submit unresolved support cases by email for help from a technical support specialist. |
dstack plans
- dstack OSSFree
- dstack Sky GPU MarketplacePriced on request
Moab HPC Suite plans
- Moab HPC SuitePriced on request
Pick dstack if…
dstack suits teams orchestrating AI workloads across different accelerator and infrastructure environments. It is also suited to users who want to configure workloads with YAML and manage resources through a CLI or HTTP API.
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.