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You can store Kubeflow pipeline templates in a Kubeflow Pipelines
repository in Artifact Registry. A pipeline template lets you reuse ML
workflow definitions when you're managing ML workflows in
Vertex AI.
Vertex AI is the Google Cloud ML platform for building,
deploying, and managing ML models. To learn about creating pipeline templates
and using them with Artifact Registry, see
Create, upload, and use a pipeline template.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-06 UTC."],[[["Kubeflow pipeline templates can be stored in a Kubeflow Pipelines repository within Artifact Registry."],["Pipeline templates enable the reuse of ML workflow definitions when managing workflows in Vertex AI."],["Vertex AI is Google Cloud's platform for building, deploying, and managing machine learning models."],["Detailed instructions on creating, uploading, and using pipeline templates with Artifact Registry are available in the provided link."]]],[]]
