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Crea un'istanza utilizzando la console Google Cloud
Scopri come creare un'istanza di Vertex AI Workbench
e aprire JupyterLab utilizzando la console Google Cloud .
Questa pagina descrive anche come arrestare, avviare, reimpostare o eliminare
un'istanza.
Prima di iniziare
Sign in to your Google Cloud account. If you're new to
Google Cloud,
create an account to evaluate how our products perform in
real-world scenarios. New customers also get $300 in free credits to
run, test, and deploy workloads.
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
Al termine delle attività descritte in questo documento, puoi evitare
l'addebito di ulteriori costi eliminando le risorse che hai creato. Per ulteriori informazioni, vedi
Pulizia.
Apri JupyterLab
Dopo aver creato l'istanza, Vertex AI Workbench la avvia
automaticamente. Quando l'istanza è pronta per l'uso, Vertex AI Workbench attiva un link Apri JupyterLab.
Fai clic su Apri JupyterLab accanto al nome dell'istanza.
L'istanza di Vertex AI Workbench apre JupyterLab.
Aprire un nuovo file del notebook
In JupyterLab,
seleziona File > Nuovo > Notebook.
Nella finestra di dialogo Seleziona kernel, seleziona Python 3,
quindi fai clic su Seleziona.
Si apre il nuovo file del notebook.
Arresta l'istanza
Nella console Google Cloud , vai alla pagina Istanze.
Il reset di un'istanza cancella forzatamente i contenuti della memoria dell'istanza e
la reimposta allo stato iniziale. Per scoprire di più su come funziona il ripristino di un'istanza, consulta Ripristino di un'istanza.
Nella console Google Cloud , vai alla pagina Istanze.
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-09-04 UTC."],[],[],null,["# Quickstart: Create a Vertex AI Workbench instance by using the Google Cloud console\n\nCreate an instance by using the Google Cloud console\n====================================================\n\nLearn how to create a Vertex AI Workbench instance\nand open JupyterLab by using the Google Cloud console.\nThis page also describes how to stop, start, reset, or delete\nan instance.\n\nBefore you begin\n----------------\n\n- Sign in to your Google Cloud account. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Notebooks API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=notebooks.googleapis.com&redirect=https://console.cloud.google.com)\n\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Notebooks API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=notebooks.googleapis.com&redirect=https://console.cloud.google.com)\n\n\u003cbr /\u003e\n\n| **Note:** The [Notebooks API](/vertex-ai/docs/workbench/reference/rest) lets you manage Vertex AI Workbench resources. For managing Vertex AI resources, see the [Vertex AI API](/vertex-ai/docs/reference/rest).\n\nCreate an instance\n------------------\n\n1. In the Google Cloud console,\n go to the **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/vertex-ai/workbench/instances)\n2. Click add_box **Create new**.\n\n3. For **Name** , enter `my-instance`.\n\n4. Click **Create**.\n\nWhen you finish the tasks that are described in this document, you can avoid\ncontinued billing by deleting the resources that you created. For more information, see\n[Clean up](#clean-up).\n\nOpen JupyterLab\n---------------\n\nAfter you create your instance, Vertex AI Workbench automatically starts\nthe instance. When the instance is ready to use, Vertex AI Workbench\nactivates an **Open JupyterLab** link.\n\nNext to your instance's name,\nclick **Open JupyterLab**.\n\nYour Vertex AI Workbench instance opens JupyterLab.\n\nOpen a new notebook file\n------------------------\n\n1. In JupyterLab,\n select **File \\\u003e New \\\u003e Notebook**.\n\n2. In the **Select kernel** dialog, select **Python 3** ,\n and then click **Select**.\n\n Your new notebook file opens.\n\nStop your instance\n------------------\n\n1. In the Google Cloud console, go to the **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/vertex-ai/workbench/instances)\n2. Select the instance that you want to stop.\n\n3. Click square **Stop**.\n\nStart your instance\n-------------------\n\n1. In the Google Cloud console, go to the **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/vertex-ai/workbench/instances)\n2. Select the instance that you want to start.\n\n3. Click arrow_right **Start**.\n\nReset your instance\n-------------------\n\nResetting an instance forcibly wipes the memory contents of your instance and\nresets the instance to its initial state. To learn more about how resetting an\ninstance works, see\n[Resetting an instance](/compute/docs/instances/suspend-stop-reset-instances-overview#resetting-instance).\n\n1. In the Google Cloud console, go to the **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/vertex-ai/workbench/instances)\n2. Select the instance that you want to reset.\n\n3. Click\n\n **Reset** , and then click **Reset** to confirm.\n\nClean up\n--------\n\n\nTo avoid incurring charges to your Google Cloud account for\nthe resources used on this page, follow these steps.\n\nIf you created a new project to learn about Vertex AI Workbench instances\nand you no longer need the project, then\n[delete the project](/resource-manager/docs/creating-managing-projects#shutting_down_projects).\n\nIf you used an existing Google Cloud project, then delete the resources\nyou created to avoid incurring charges to your account:\n\n1. In the Google Cloud console, go to the **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/vertex-ai/workbench/instances)\n2. Select the row containing the instance that you want to delete.\n\n3. Click delete **Delete** .\n (Depending on the size of your window,\n the **Delete** button might be in\n the more_vert options menu.)\n\n4. To confirm, click **Confirm**.\n\nWhat's next\n-----------\n\n1. Read the [Introduction to\n Vertex AI Workbench instances](/vertex-ai/docs/workbench/instances/introduction).\n2. To use a notebook to help you get started using Vertex AI and other Google Cloud services, see [Vertex AI\n notebook tutorials](/vertex-ai/docs/tutorials/jupyter-notebooks)."]]