ClearML
7.3#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs Outerbounds
Outerbounds
6.5#11 in mlops platformsFrom $2,499 a monthFree planWebAPI
VisitWhat both publish
| Fact | ClearML | Outerbounds |
|---|---|---|
| Development | The AI Development Center provides an integrated environment for developing, training, testing, and deploying AI/ML models, with tools including monitoring, pipelines, a model repository, and CI/CD integration. | Starter includes up to three cloud workstations, and the platform supports testing code locally before deployment. |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | Outerbounds documents Snowflake access and examples for AWS Athena, Amazon SageMaker, and Amazon Bedrock. |
| Open source | ClearML says its self-hosted version is 100% open source on GitHub. | Outerbounds is built around Metaflow, an open-source framework that originated at Netflix. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | Starter and Enterprise include dedicated support, while the Community plan lists community support. |
ClearML plans
- CommunityFree
- Pro$15 a month
- ScalePriced on request
- EnterprisePriced on request
Outerbounds plans
- CommunityFree
- Starter$2,499 a month
- EnterprisePriced 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 Outerbounds if…
Outerbounds may suit teams building production AI and machine learning workflows in their own cloud. The Community plan is for users prepared to manage their own infrastructure and security.