Integrations
Modal
and
ZenML logo in purple, representing machine learning pipelines and MLOps framework.
The Modal step operator is a lightweight alternative to other distributed orchestrators like Airflow or Kubeflow that gives our users the ability to run pipelines on Modal's managed platform without having to install and manage additional tools or components.
Modal
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Modal

The Modal step operator is a lightweight alternative to other distributed orchestrators like Airflow or Kubeflow that gives our users the ability to run pipelines on Modal's managed platform without having to install and manage additional tools or components.
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The Modal step operator is a lightweight alternative to other distributed orchestrators like Airflow or Kubeflow that gives our users the ability to run pipelines on Modal's managed platform without having to install and manage additional tools or components.

ZenML pipeline steps can be executed directly on Modal's infrastructure. This step operator allows you to run the parts of your machine learning workflow that require GPUs on that infrastructure, saving you money and time. It is an easy and fast solution, without having to install and manage additional tools or components.

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Modal
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Run Pipeline Steps in Production with Modal

ZenML pipeline steps can be executed directly on Modal's infrastructure. This step operator allows you to run the parts of your machine learning workflow that require GPUs on that infrastructure, saving you money and time. It is an easy and fast solution, without having to install and manage additional tools or components.
Modal

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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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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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