[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-09-04 (世界標準時間)。"],[[["\u003cp\u003eKubeflow pipeline templates can be stored in a Kubeflow Pipelines repository within Artifact Registry.\u003c/p\u003e\n"],["\u003cp\u003ePipeline templates enable the reuse of ML workflow definitions when managing workflows in Vertex AI.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI is Google Cloud's platform for building, deploying, and managing machine learning models.\u003c/p\u003e\n"],["\u003cp\u003eDetailed instructions on creating, uploading, and using pipeline templates with Artifact Registry are available in the provided link.\u003c/p\u003e\n"]]],[],null,["# Manage Kubeflow pipeline templates\n\nYou can store Kubeflow pipeline templates in a Kubeflow Pipelines\nrepository in Artifact Registry. A pipeline template lets you reuse ML\nworkflow definitions when you're managing ML workflows in\n[Vertex AI](/vertex-ai/docs/start/introduction-unified-platform).\n\nVertex AI is the Google Cloud ML platform for building,\ndeploying, and managing ML models. To learn about creating pipeline templates\nand using them with Artifact Registry, see\n[Create, upload, and use a pipeline template](/vertex-ai/docs/pipelines/create-pipeline-template#use-the-template-in-kfp-client)."]]