이 페이지에서는 Cloud Storage에 저장된 파일을 찾아볼 수 있도록 Vertex AI Workbench 관리형 노트북 인스턴스의 JupyterLab 인터페이스에 Cloud Storage 버킷을 마운트하는 방법을 보여줍니다. 텍스트 파일 및 노트북(IPYNB) 파일 등 JupyterLab과 호환되는 파일을 열고 수정할 수도 있습니다.
개요
Vertex AI Workbench 관리형 노트북 인스턴스에는 Cloud Storage 버킷을 마운트할 수 있게 해주는 Cloud Storage 통합이 포함되어 있습니다. 즉, 버킷의 콘텐츠를 탐색하고 JupyterLab 인터페이스 내에서 호환되는 파일로 작업할 수 있습니다.
관리형 노트북 인스턴스와 동일한 프로젝트 내에서 인스턴스가 액세스할 수 있는 모든 Cloud Storage 버킷 및 파일에 액세스할 수 있습니다.
시작하기 전에
이 가이드를 진행하려면 관리형 노트북 인스턴스와 동일한 프로젝트에 있는 하나 이상의 Cloud Storage 버킷에 대한 액세스 권한이 있어야 합니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[],[],null,["# Access Cloud Storage buckets and files in JupyterLab\n====================================================\n\n\n| Vertex AI Workbench managed notebooks is\n| [deprecated](/vertex-ai/docs/deprecations). On\n| April 14, 2025, support for\n| managed notebooks will end and the ability to create managed notebooks instances\n| will be removed. Existing instances will continue to function\n| but patches, updates, and upgrades won't be available. To continue using\n| Vertex AI Workbench, we recommend that you\n| [migrate\n| your managed notebooks instances to Vertex AI Workbench instances](/vertex-ai/docs/workbench/managed/migrate-to-instances).\n\n\u003cbr /\u003e\n\nThis page shows you how to mount a Cloud Storage bucket to the\nJupyterLab interface of\nyour Vertex AI Workbench managed notebooks instance\nso that you can browse files that are stored\nin Cloud Storage. You can also open and edit files that are compatible\nwith JupyterLab, such as text files and notebook (IPYNB) files.\n\nOverview\n--------\n\nVertex AI Workbench managed notebooks instances\ninclude a Cloud Storage integration that lets you\nmount a Cloud Storage bucket. This means you can browse the contents\nof the bucket and work with compatible files from within\nthe JupyterLab interface.\n\nYou can access any of\nthe Cloud Storage buckets and files that your instance\nhas access to within the same project as\nyour managed notebooks instance.\n| **Note:** Your managed notebooks instance's access to Cloud Storage is determined by the single user or service account that you used to grant access to your instance. For example, if you granted a specific service account access to your instance, you must also grant that service account access to the Cloud Storage buckets that you want to use in JupyterLab.\n\nBefore you begin\n----------------\n\nThis guide requires you to have access to\nat least one Cloud Storage bucket in the same project\nas your managed notebooks instance.\n\n1. If you need to create a Cloud Storage bucket,\n see [Create buckets](/storage/docs/creating-buckets).\n\n2. If you haven't already,\n [create\n a managed notebooks instance](/vertex-ai/docs/workbench/managed/create-instance#create) in the same project\n as your Cloud Storage bucket.\n\nOpen JupyterLab\n---------------\n\n1. In the Google Cloud console, go to the **Managed notebooks** page.\n\n [Go to Managed notebooks](https://console.cloud.google.com/vertex-ai/workbench/managed)\n2. Next to your managed notebooks instance's name,\n click **Open JupyterLab**.\n\n Your managed notebooks instance opens JupyterLab.\n\nMount the Cloud Storage buckets and files\n-----------------------------------------\n\nTo mount and then access a Cloud Storage bucket, do the following:\n\n1. In JupyterLab, make sure the\n folder **File Browser** tab\n is selected.\n\n2. In the left sidebar, click the\n **Mount\n shared storage** button. If you don't see the button, drag the right side\n of the sidebar to expand the sidebar until you see the button.\n\n3. In the **Bucket name** field, enter the Cloud Storage bucket name\n that you want to mount.\n\n4. Click **Mount**.\n\n5. Your Cloud Storage bucket appears as a folder in the\n **File browser** tab of the left sidebar. Double-click the folder to open\n it and browse the contents.\n\nWhat's next\n-----------\n\n- Learn more about [Cloud Storage](/storage/docs/introduction).\n\n- Learn how to [query data in BigQuery\n from within JupyterLab](/vertex-ai/docs/workbench/managed/bigquery)."]]