[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-09-02。"],[[["\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)."]]