Integrations
Kubeflow
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ZenML logo in purple, representing machine learning pipelines and MLOps framework.
Orchestrate your ML pipelines on Kubeflow. Works on any infrastructure of your choice - local, on-premises, or in the cloud.
Kubeflow
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Kubeflow

Orchestrate your ML pipelines on Kubeflow. Works on any infrastructure of your choice - local, on-premises, or in the cloud.
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Orchestrate your ML pipelines on Kubeflow. Works on any infrastructure of your choice - local, on-premises, or in the cloud.

ZenML provides a deep Kubeflow integration that makes deploying ML pipelines on Kubernetes simple, portable and scalable. When you want to take a ZenML pipeline from a local setting to production, you can run it on any infrastructure you like and orchestrate it on Kubernetes via Kubeflow - all without changing a single line of code.

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Kubeflow
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Run Pipelines in Production with Kubeflow

ZenML provides a deep Kubeflow integration that makes deploying ML pipelines on Kubernetes simple, portable and scalable. When you want to take a ZenML pipeline from a local setting to production, you can run it on any infrastructure you like and orchestrate it on Kubernetes via Kubeflow - all without changing a single line of code.
Kubeflow

Unify Your ML and LLM Workflows

Free, powerful MLOps open source foundation
Works with any infrastructure
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Dashboard displaying machine learning models, including versions, authors, and tags. Relevant to model monitoring and ML pipelines.

Connect Your ML Pipelines to a World of Tools

Expand your ML pipelines with Apache Airflow and other 50+ ZenML Integrations
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Facets
TensorBoard
Hugging Face (Inference Endpoints)
Apache Airflow
NeuralProphet
Azure Container Registry
Weights & Biases
Slack
Databricks
Google Cloud Vertex AI Pipelines

Connect Your ML Pipelines to a World of Tools

Expand your ML pipelines with Apache Airflow and other 50+ ZenML Integrations
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