dstack
6.9#2 in gpu cluster management softwareFree planFree planWebAPILinuxmacOS
Visitdstack vs TORQUE Resource Manager
TORQUE Resource Manager
6.0#10 in gpu cluster management softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | dstack | TORQUE Resource Manager |
|---|---|---|
| Integrations | Listed backend types include AWS, Azure, GCP, Kubernetes, Slurm, Runpod, Nebius, Lambda, and other cloud providers. | The maker's documentation describes integration between TORQUE and the Moab Workload Manager. |
| Purpose | dstack is an open-source orchestration layer for AI workloads on heterogeneous accelerators, including GPU clouds, Kubernetes, VMs, and bare-metal clusters. | TORQUE is an open-source resource manager and queue manager based on the original PBS resource manager. |
| Support | The documentation directs users to report issues on GitHub and ask questions in the dstack Discord server. | The project README directs questions and contributions to the [email protected] mailing list. |
dstack plans
- dstack OSSFree
- dstack Sky GPU MarketplacePriced on request
TORQUE Resource Manager plans
- TORQUE Resource ManagerFree
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 TORQUE Resource Manager if…
TORQUE is intended for administrators managing compute clusters who can build and deploy self-hosted software. Its source-based installation and client authorization requirements are relevant when planning setup.