ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs Deeploy
What both publish
| Fact | ClearML | Deeploy |
|---|---|---|
| Headquarters | Berkeley, California, USA | Utrecht, Netherlands |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | Documented integrations include Databricks, MLflow, Hugging Face, AWS SageMaker, Azure Machine Learning, IBM Watsonx, Slack and Microsoft Teams. |
| Product | ClearML describes its AI infrastructure platform as three layers: Infrastructure Control Plane, AI Development Center, and GenAI App Engine. | Deeploy is an AI governance platform for real-time control of agentic, generative and predictive AI operations. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | Core includes self-service and best-effort support, Scale includes a standard email and chat SLA, and Enterprise includes a custom SLA and dedicated customer-success manager. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
Deeploy plans
- CorePriced on request
- EnterprisePriced on request
- ScalePriced on request
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 Deeploy if…
You want what its maker publishes above — check its page for the details.