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Criar uma instância de VM de aprendizado profundo usando o console Google Cloud
Esta página mostra como criar uma instância de imagens de VM de aprendizado profundo
usando o Google Cloud Marketplace no console Google Cloud .
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.
Clique em Primeiros passos. Se você vir uma janela de seleção de projeto, escolha o projeto em que quer criar a instância. Se esta é a primeira
vez que você inicia uma VM do Compute Engine, aguarde o processo
inicial de configuração da API.
Na página de implantação Nova VM de aprendizado profundo, primeiro digite um
nome de implantação. Essa será a raiz do nome da sua máquina virtual.
O Compute Engine anexa -vm a esse nome ao nomear a instância.
Selecione uma Zona ou mantenha o padrão.
Em Tipo de máquina, selecione as especificações que você
quer na VM ou mantenha o padrão.
Em GPUs, selecione o Tipo de GPU e o Número de GPUs
ou mantenha os valores padrão.
Se você não quiser usar GPUs,
clique no botão Excluir GPU.
Você tem a opção de selecionar Ativar o acesso ao JupyterLab por URL
em vez de SSH (Beta). A ativação desse recurso Beta permite
acessar sua instância do JupyterLab
usando um URL. Qualquer pessoa que tenha o papel Editor ou Proprietário no seu projeto do Google Cloud poderá acessar esse URL. Esse recurso funciona apenas nos Estados Unidos, na União Europeia e na Ásia.
Selecione um Framework de machine learning ou mantenha o padrão.
Clique em Implantar.
Você acabou de criar sua primeira instância de VM de aprendizado profundo.
Depois que a instância for implantada, o console do Google Cloud abrirá
a página do Deployment Manager
em que é possível gerenciar as
instâncias de VM de aprendizado profundo e outras implantações.
Acessar sua nova instância
Depois que você criar sua instância de VM de aprendizado profundo, ela será iniciada automaticamente. Para acessá-la:
Acesse a página Instâncias de VM no Google Cloud console.
Na coluna Nome,
clique no nome da instância de máquina virtual.
Na seção Acesso Remoto, clique na primeira lista suspensa e escolha como você quer acessar a instância. É possível interagir com uma interface gráfica do usuário ou na linha de comando.
O Compute Engine propagará suas chaves SSH e criará seu usuário. Para mais informações, consulte Como se conectar a instâncias.
Interromper a instância
Acesse a página Instâncias de VM no Google Cloud console.
[[["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 2025-08-17 UTC."],[[["\u003cp\u003eThis guide outlines how to create a Deep Learning VM instance using the Google Cloud Marketplace within the Google Cloud console, starting with the "Get started" button.\u003c/p\u003e\n"],["\u003cp\u003eUsers can customize their VM by selecting a deployment name, zone, machine type, GPU type, number of GPUs, and a machine learning framework, or they can opt for default settings.\u003c/p\u003e\n"],["\u003cp\u003eAfter deployment, the VM can be accessed via the VM Instances page, where users can choose between interacting with a graphical user interface or on the command line.\u003c/p\u003e\n"],["\u003cp\u003eThe instance can be manually stopped and started from the VM Instances page, and finally, the deployment can be deleted to avoid incurring unnecessary charges.\u003c/p\u003e\n"],["\u003cp\u003eJupyterLab access via a URL is an available beta feature in select regions, granting access to users in the Editor or Owner role within your Google Cloud project.\u003c/p\u003e\n"]]],[],null,["# Quickstart: Create a Deep Learning VM instance by using the Google Cloud console\n\nCreate a Deep Learning VM instance by using the Google Cloud console\n====================================================================\n\nThis page shows you how to create a Deep Learning VM Images instance\nby using Google Cloud Marketplace in the Google Cloud console.\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- 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| **Note:** This quickstart assumes that all settings will remain at their defaults. For more information about the VM options available to you, see [Choose an\n| Image](/deep-learning-vm/docs/images).\n\nCreate a new instance\n---------------------\n\n1. Go to the Deep Learning VM Cloud Marketplace page in\n the Google Cloud console.\n\n [Go to the Deep Learning VM Cloud Marketplace page](https://console.cloud.google.com/marketplace/details/click-to-deploy-images/deeplearning)\n2. Click **Get started**. If you see a project selection window,\n choose the project in which to create the instance. If this is the first\n time you've launched a Compute Engine VM, you must wait for the initial API\n configuration process to complete.\n\n3. On the **New Deep Learning VM deployment** page, enter a\n **Deployment name** . This will be the root of your virtual machine name.\n Compute Engine appends `-vm` to this name when naming your instance.\n\n4. Select a **Zone**, or keep the default.\n\n5. Under **Machine type**, select the specifications that you\n want for your VM, or keep the default.\n\n6. Under **GPUs** , select the **GPU type** and **Number of GPUs** ,\n or keep the default values.\n If you don't want to use GPUs,\n click the **Delete GPU** button.\n\n7. You have the option to select **Enable access to JupyterLab via URL\n instead of SSH (Beta)**. Enabling this Beta feature lets you\n access your JupyterLab\n instance using a URL. Anyone who is in the Editor or Owner role in your\n Google Cloud project can access this URL. This feature\n only works in the United States, the European Union, and Asia.\n\n8. Select a machine learning **Framework**, or keep the default.\n\n9. Click **Deploy**.\n\nYou've just created your first Deep Learning VM instance.\nAfter the instance is deployed, the Google Cloud console opens\nthe [Deployment Manager page](https://console.cloud.google.com/dm/deployments)\nwhere you can manage your\nDeep Learning VM instances and other deployments.\n\nAccess your new instance\n------------------------\n\nOnce you've created your Deep Learning VM instance, it starts\nautomatically. To access it:\n\n1. Go to the VM Instances page in the Google Cloud console.\n\n [Go to the VM\n Instances page](https://console.cloud.google.com/compute/instances)\n2. Under the **Name** column,\n click the name of your virtual machine instance.\n\n3. In the **Remote Access** section, click the first drop-down list and\n choose how you'd like to access the instance. You can choose to interact\n with a graphical user interface or on the command line.\n\n [](../images/dlvm-qs1.png)\n\n \u003cbr /\u003e\n\nCompute Engine will propagate your SSH keys and create your user. For more\ninformation, see [Connecting to\nInstances](/compute/docs/instances/connecting-to-instance).\n\nStop the instance\n-----------------\n\n1. Go to the VM Instances page in the Google Cloud console.\n\n [Go to the VM\n Instances page](https://console.cloud.google.com/compute/instances)\n2. Select the checkbox next to the Deep Learning VM instance.\n\n3. Click **Stop**.\n\nStart the instance\n------------------\n\nAfter an instance is created, the instance starts automatically. To start the instance\nmanually when it's stopped:\n\n1. Go to the VM Instances page in the Google Cloud console.\n\n [Go to the VM\n Instances page](https://console.cloud.google.com/compute/instances)\n2. Select the checkbox next to the Deep Learning VM instance.\n\n3. Click **Start**.\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\n1. Go to the Deployments page in the Google Cloud console.\n\n [Go to the\n Deployments page](https://console.cloud.google.com/dm/deployments)\n2. Select the checkbox next to the Deep Learning VM deployment.\n\n3. Click **Delete**.\n\nWhat's next\n-----------\n\n- Read a more in-depth description of this process in [Creating a\n Deep Learning VM instance from\n Google Cloud Marketplace](/deep-learning-vm/docs/cloud-marketplace).\n- Learn more about [Images, image families, and\n instances](/deep-learning-vm/docs/concepts-images)."]]
