ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs TORQUE Resource Manager
TORQUE Resource Manager
6.0#10 in gpu cluster management softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | ClearML | TORQUE Resource Manager |
|---|---|---|
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | The maker's documentation describes integration between TORQUE and the Moab Workload Manager. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | The project README directs questions and contributions to the [email protected] mailing list. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
TORQUE Resource Manager plans
- TORQUE Resource ManagerFree
Pick ClearML if…
ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.
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.