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Nichtflüchtige Ressourcen sind verfügbar, bis sie gelöscht werden. Es gibt keine Garantie, dass Sie eine nichtflüchtige Ressource desselben Ressourcentyps noch einmal erstellen können, wenn ein Engpass besteht. Auf dieser Seite erfahren Sie, wie Sie eine nichtflüchtige Ressource mit der Google Cloud Console, der Google Cloud CLI, dem Vertex AI SDK für Python und der REST API löschen.
Erforderliche Rollen
Bitten Sie Ihren Administrator, Ihnen die Rolle Vertex AI Administrator (roles/aiplatform.admin) für Ihr Projekt zu gewähren, um die Berechtigung zum Löschen einer nichtflüchtigen Ressource zu erhalten.
Weitere Informationen zum Zuweisen von Rollen finden Sie unter Zugriff auf Projekte, Ordner und Organisationen verwalten.
Diese vordefinierte Rolle enthält die Berechtigung
aiplatform.persistentResources.delete,
die zum Löschen
einer nichtflüchtigen Ressource erforderlich ist.
Um eine nichtflüchtige Ressource zu löschen, wenn Sie sie nicht mehr benötigen, wählen Sie einen der folgenden Tabs aus. Wenn beim Löschen benutzerdefinierte Jobs auf der nichtflüchtige Ressource ausgeführt werden, werden diese benutzerdefinierten Jobs automatisch abgebrochen, bevor die nichtflüchtige Ressource gelöscht wird.
[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Schwer verständlich","hardToUnderstand","thumb-down"],["Informationen oder Beispielcode falsch","incorrectInformationOrSampleCode","thumb-down"],["Benötigte Informationen/Beispiele nicht gefunden","missingTheInformationSamplesINeed","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 2025-08-07 (UTC)."],[],[],null,["# Delete a persistent resource\n\nPersistent resources are available until they are deleted. Once deleted, there\nis no guarantee that you can create the persistent resource of the same resource\ntype again if there's a stockout. This page shows you how to delete a\npersistent resource by using the Google Cloud console, Google Cloud CLI,\nVertex AI SDK for Python, and the REST API.\n\nRequired roles\n--------------\n\n\nTo get the permission that\nyou need to delete a persistent resource,\n\nask your administrator to grant you the\n\n\n[Vertex AI Administrator](/iam/docs/roles-permissions/aiplatform#aiplatform.admin) (`roles/aiplatform.admin`)\nIAM role on your project.\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nThis predefined role contains the\n` aiplatform.persistentResources.delete`\npermission,\nwhich is required to\ndelete a persistent resource.\n\n\nYou might also be able to get\nthis permission\nwith [custom roles](/iam/docs/creating-custom-roles) or\nother [predefined roles](/iam/docs/roles-overview#predefined).\n\nDelete a persistent resource\n----------------------------\n\nFor instructions on how to delete a persistent resource when you no longer\nneeded it, select one of the following tabs. Note that if there are custom jobs\nrunning on the persistent resource when you delete it, those custom jobs are\nautomatically cancelled before the persistent resource is deleted. \n\n### Console\n\nTo delete a persistent resource in the Google Cloud console, do the following:\n\n1. In the Google Cloud console, go to the **Persistent resources** page.\n\n [Go to Persistent resources](https://console.cloud.google.com/vertex-ai/training/persistent-resources)\n2. Click the name of the persistent resource that you want to delete.\n\n3. Click delete **Delete**.\n\n4. Click **Confirm**.\n\n\n### gcloud\n\n\nBefore using any of the command data below,\nmake the following replacements:\n\n- \u003cvar class=\"edit\" scope=\"PROJECT_ID\" translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: The Project ID of the persistent resource that you want to delete.\n- \u003cvar class=\"edit\" scope=\"LOCATION\" translate=\"no\"\u003eLOCATION\u003c/var\u003e: The region of the persistent resource that you want to delete.\n- \u003cvar class=\"edit\" scope=\"PERSISTENT_RESOURCE_ID\" translate=\"no\"\u003ePERSISTENT_RESOURCE_ID\u003c/var\u003e: The ID of the persistent resource that you want to delete.\n\n\nExecute the\n\nfollowing\n\ncommand:\n\n#### Linux, macOS, or Cloud Shell\n\n**Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n```bash\ngcloud ai persistent-resources delete PERSISTENT_RESOURCE_ID \\\n --project=PROJECT_ID \\\n --region=LOCATION\n```\n\n#### Windows (PowerShell)\n\n**Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n```bash\ngcloud ai persistent-resources delete PERSISTENT_RESOURCE_ID `\n --project=PROJECT_ID `\n --region=LOCATION\n```\n\n#### Windows (cmd.exe)\n\n**Note:** Ensure you have initialized the Google Cloud CLI with authentication and a project by running either [gcloud init](/sdk/gcloud/reference/init); or [gcloud auth login](/sdk/gcloud/reference/auth/login) and [gcloud config set project](/sdk/gcloud/reference/config/set). \n\n```bash\ngcloud ai persistent-resources delete PERSISTENT_RESOURCE_ID ^\n --project=PROJECT_ID ^\n --region=LOCATION\n```\n\nYou should receive a response similar to the following:\n\n```\nUsing endpoint [https://us-central1-aiplatform.googleapis.com/]\nRequest to delete the PersistentResource [projects/sample-project/locations/us-central1/persistentResources/test-persistent-resource] has been sent.\n\nYou may view the status of your persistent resource with the command\n\n $ gcloud ai persistent-resources describe projects/sample-project/locations/us-central1/persistentResources/test-persistent-resource\n```\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n```python\nfrom google.cloud.aiplatform.preview import persistent_resource\n\nresource_to_delete = persistent_resource.PersistentResource(\n PERSISTENT_RESOURCE_ID\n)\n\n# Delete the persistent resource.\nresource_to_delete.delete(sync=True)\n```\n\n### REST\n\n\nBefore using any of the request data,\nmake the following replacements:\n\n- \u003cvar class=\"edit\" scope=\"PROJECT_ID\" translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: The Project ID of the persistent resource that you want to delete.\n- \u003cvar class=\"edit\" scope=\"LOCATION\" translate=\"no\"\u003eLOCATION\u003c/var\u003e: The region of the persistent resource that you want to delete.\n- \u003cvar class=\"edit\" scope=\"PERSISTENT_RESOURCE_ID\" translate=\"no\"\u003ePERSISTENT_RESOURCE_ID\u003c/var\u003e: The ID of the persistent resource that you want to delete.\n\n\nHTTP method and URL:\n\n```\nDELETE https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/persistentResources/PERSISTENT_RESOURCE_ID\n```\n\nTo send your request, expand one of these options:\n\n#### curl (Linux, macOS, or Cloud Shell)\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) , or by using [Cloud Shell](/shell/docs), which automatically logs you into the `gcloud` CLI . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\ncurl -X DELETE \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n \"https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/persistentResources/PERSISTENT_RESOURCE_ID\"\n```\n\n#### PowerShell (Windows)\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\n$cred = gcloud auth print-access-token\n$headers = @{ \"Authorization\" = \"Bearer $cred\" }\n\nInvoke-WebRequest `\n -Method DELETE `\n -Headers $headers `\n -Uri \"https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/persistentResources/PERSISTENT_RESOURCE_ID\" | Select-Object -Expand Content\n```\n\nYou should receive a JSON response similar to the following:\n\n```\n{\n \"name\": \"projects/123456789012/locations/us-central1/operations/1234567890123456789\",\n \"metadata\": {\n \"@type\": \"type.googleapis.com/google.cloud.aiplatform.v1.DeleteOperationMetadata\",\n \"genericMetadata\": {\n \"createTime\": \"2023-07-28T17:22:08.316883Z\",\n \"updateTime\": \"2023-07-28T17:22:08.316883Z\"\n }\n },\n \"done\": true,\n \"response\": {\n \"@type\": \"type.googleapis.com/google.protobuf.Empty\"\n }\n}\n```\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- [Learn about persistent resource](/vertex-ai/docs/training/persistent-resource-overview).\n- [Run training jobs on a persistent resource](/vertex-ai/docs/training/persistent-resource-train).\n- [Create and use a persistent resource](/vertex-ai/docs/training/persistent-resource-create).\n- [Get information about a persistent resource](/vertex-ai/docs/training/persistent-resource-get).\n- [Reboot a persistent resource](/vertex-ai/docs/training/persistent-resource-reboot)."]]
