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Criar uma instância usando o console Google Cloud
Saiba como criar uma instância do Vertex AI Workbench e abrir o JupyterLab usando o Google Cloud console.
Nesta página, também descrevemos como interromper, iniciar, redefinir ou excluir uma instância.
Antes de começar
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.
Ao concluir as tarefas descritas neste documento, é possível evitar
o faturamento contínuo excluindo os recursos criados. Saiba mais em
Limpeza.
Abrir JupyterLab
Depois que você cria instância, o Vertex AI Workbench a inicia
automaticamente. Quando a instância estiver pronta para uso, o Vertex AI Workbench
ativa um link Abrir JupyterLab.
Ao lado do nome da instância, clique em Abrir JupyterLab.
Sua instância do Vertex AI Workbench abre o JupyterLab.
Abrir um novo arquivo de notebook
No JupyterLab, selecione Arquivo > Novo > Notebook.
Na caixa de diálogo Selecionar kernel, selecione Python 3
e clique em Selecionar.
O novo arquivo do notebook será aberto.
Interromper a instância
No console Google Cloud , acesse a página Instâncias.
A redefinição forçada de uma instância exclui permanentemente o conteúdo da memória dela e a
redefine para o estado inicial. Para saber mais sobre como funciona a redefinição de uma
instância, consulte
Redefinir uma instância.
No console Google Cloud , acesse a página Instâncias.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-08-18 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)."]]
Redefinir e, em seguida, clique em Redefinir para confirmar.