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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 2025-02-03 UTC."],[],[]]