Vertex AI Workbench: documentação
gerenciada de notebooks
As instâncias de notebooks gerenciadas são
ambientes gerenciados pelo Google com integrações e recursos que ajudam a configurar e trabalhar em
um ambiente de produção completo baseado em notebook Jupyter.
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Executar código de notebook em ambientes diferentes
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2025-08-18 UTC.
[[["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,["# Vertex AI Workbench: Managed notebooks documentation\n\nVertex AI Workbench: Managed notebooks\ndocumentation\n====================================================\n\n[Read product documentation](/vertex-ai/docs/workbench/managed/introduction)\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\nManaged notebooks instances are Google-managed environments\nwith integrations and capabilities that help you set up and work in\nan end-to-end Jupyter notebook-based production environment.\n[Learn more](/vertex-ai/docs/workbench/managed/introduction).\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nfollow_the_signs\n\n### Get started\n\n-\n\n [Create a managed notebooks instance](/vertex-ai/docs/workbench/managed/create-instance)\n\n-\n\n [Introduction to managed notebooks](/vertex-ai/docs/workbench/managed/introduction)\n\n-\n\n [Query data in BigQuery tables from within JupyterLab](/vertex-ai/docs/workbench/managed/bigquery)\n\ninfo\n\n### Run notebook code in different environments\n\n-\n\n [Run a managed notebooks instance on a Dataproc cluster](/vertex-ai/docs/workbench/managed/dataproc)\n\n-\n\n [Run notebook files with the executor](/vertex-ai/docs/workbench/managed/executor)\n\n-\n\n [Add a custom container to a managed notebooks instance](/vertex-ai/docs/workbench/managed/custom-container)\n\ninfo\n\n### Resources\n\n-\n\n [Pricing](/vertex-ai/pricing)\n\n-\n\n [Release notes](/vertex-ai/docs/release-notes)\n\n-\n\n [Get support](/vertex-ai/docs/support/getting-support)\n\nRelated videos\n--------------"]]
