Unlike other orchestrators, ZenML pipelines can run anywhere, locally, on open-source tools like Airflow or Kubeflow, and even on managed cloud orchestration services like EC2, Vertex Pipelines, and Sagemaker.
Write your own orchestration layer if your company already has a proprietary orchestrator.
Version data in any artifact store.
Organize and manage all your MLOps tooling and infrastructure in one place
Supercharge your ML workflows with the latest best-in-class tools from all areas of MLOps.
ZenML’s standard interfaces ensure that your tools work together seamlessly.
Adjust your tooling to your needs and add or switch out components as your setup matures.
50+ Integrations with the most popular cloud and open-source tools
From experiment trackers like MLflow and Weights&Biases to model deployers like Seldon and BentoML, ZenML has integrations for tools aross the lifecycle.
Flexibly run workflows across all clouds or orchestrations tools such as Airflow or Kubeflow.
AWS, GCP, and Azure integrations all supported out of the box.
ZenML allows you to keep your ML pipeline code cloud-agnostic, enabling faster future migrations to another technology stack. The management of the metadata and artifacts generated at each step is seamless, and allows the user to extend the framework if needed without much effort.
Gabriel Martin
Machine Learning Engineer at Frontiers
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