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ClearML vs Jozu Hub

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ClearML

7.4#1 in gpu cluster management softwareFrom $15 a month
Free planWebAPILinuxmacOS
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Jozu Hub

6.2#8 in model registry softwareFree plan
Free planWebAPISelf-hosted
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What both publish

FactClearMLJozu Hub
IntegrationsThe integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations.Jozu says Hub is commonly accessed from CI/CD systems such as GitHub Actions and GitLab, and experiment trackers such as MLflow.
SupportScale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services.The pricing page lists Discord community support for Sandbox and email plus Slack support for Enterprise.

ClearML plans

  • CommunityFree
  • Pro$15 a month
  • EnterprisePriced on request
  • ScalePriced on request

Jozu Hub plans

  • SandboxFree
  • 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 Jozu Hub if…

Hub is aimed at enterprises, regulated industries, and government teams that need to manage model and agent artifacts, including teams working in air-gapped environments. It may also suit teams using CI/CD or experiment-tracking workflows alongside Kubernetes-based deployment.

Charts they share