Colab Enterprise 內嵌於整合式服務的 UI 中。
這樣一來，您就能在 Vertex AI 和 BigQuery 中工作，然後在筆記本中繼續工作，不必離開控制台的 Google Cloud 區域。舉例來說，您可以直接從 BigQuery 編輯器建立筆記本，並填入範例查詢，協助您快速上手。詳情請參閱 BigQuery 的筆記本簡介。
在 Gemini 協助下撰寫及編輯程式碼
您可以使用 Gemini in Colab Enterprise (Gemini for Google Cloud 系列產品之一)，輔助您在 Colab Enterprise 筆記本中編寫及生成程式碼。Gemini in Colab Enterprise 也能協助修正程式碼中的錯誤。詳情請參閱「在 Gemini 協助下編寫程式碼」。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-04 (世界標準時間)。"],[[["\u003cp\u003eColab Enterprise is a secure, collaborative notebook environment on Google Cloud that allows for easy sharing and management of IPYNB files through Identity and Access Management (IAM).\u003c/p\u003e\n"],["\u003cp\u003eIt provides managed compute resources, automatically provisioning and deactivating runtimes, while also offering the option to configure runtimes with specific machine types, accelerators, and disk space.\u003c/p\u003e\n"],["\u003cp\u003eColab Enterprise is integrated with Vertex AI and BigQuery, enabling seamless interaction with these services and allowing users to continue work in notebooks without leaving their respective Google Cloud console areas.\u003c/p\u003e\n"],["\u003cp\u003eUsers can leverage Gemini within Colab Enterprise to assist with code writing and error fixing, and can schedule notebook runs, with results stored in Cloud Storage.\u003c/p\u003e\n"],["\u003cp\u003eColab Enterprise offers advanced security and compliance features, including support for customer-managed encryption keys (CMEK), Access Transparency logging, and utilizes Google Cloud security and network functionality.\u003c/p\u003e\n"]]],[],null,["# Introduction to Colab Enterprise\n================================\n\nColab Enterprise is a collaborative, managed notebook environment\nwith the security and compliance capabilities of Google Cloud.\n\nGet started\n-----------\n\nTo get started using Colab Enterprise, try any of the following:\n\n- **Quickstart** : To create your first Colab Enterprise notebook and\n learn how to run its code on a default runtime, see [Quickstart: Create a\n Colab Enterprise notebook](/colab/docs/create-console-quickstart).\n\n- **Notebook gallery** : The notebook gallery is a curated collection of\n notebooks to help you get started using Colab Enterprise. See\n the [notebook gallery](https://console.cloud.google.com/vertex-ai/colab/notebook-gallery). These\n notebooks use ready-to-use templates and examples to make it easier to\n learn new techniques, to understand best practices, and to get projects\n started quickly. Browse the notebooks by category, or use the search bar\n to find a notebook that helps you get started.\n\nShare and collaborate\n---------------------\n\nColab Enterprise lets you share notebooks (IPYNB files) and collaborate\nwith others. You can share a notebook with a single user, Google group,\nor Google Workspace domain. You control this access\nthrough Identity and Access Management (IAM).\n\nLearn how to [grant access to a notebook](/colab/docs/manage-access-notebook).\n\nManaged compute\n---------------\n\nColab Enterprise lets you work in notebooks without having to manage\ninfrastructure. Colab Enterprise provisions a runtime for you when you\nneed it. If you want to, you can configure runtimes for specific needs,\nbut Colab Enterprise starts them for you and shuts them down when\nyou no longer need them.\n\nConfigurable runtimes\n---------------------\n\nUse the default runtime or configure your own by creating a runtime template.\nWhen you create a runtime template, you can choose between any available\nmachine type, add accelerators, and specify your disk space.\n\nBy using runtimes that you configured, you can run code on the runtime\nthat meets your needs at the moment. For example,\nyou can test your code with a small dataset by using a runtime with a\nsmaller, cost-effective machine type. Then you can use a runtime with\nmore processing power when you need to run your code with more data.\n\nTo learn more, see [Runtimes and runtime templates](/colab/docs/runtimes).\n\nIntegrated with Vertex AI and BigQuery\n--------------------------------------\n\nColab Enterprise's integrations with Google Cloud services\nmake it easier to use notebooks that interact with those services.\n\nColab Enterprise is a part of Vertex AI.\nColab Enterprise's API methods are a subset of the Vertex AI API.\nThis can save you time when you're managing access to\nColab Enterprise resources or when you authenticate and authorize\nyour notebook code to use Vertex AI.\n\nTo learn more, see the [API usage overview](/colab/docs/reference).\n\nColab Enterprise is embedded within the UI of its integrated services.\nThis lets you do work in Vertex AI and BigQuery,\nand then continue your work in a notebook without leaving their areas\nof the Google Cloud console. For example, you can create\na notebook directly from the BigQuery editor, populated with a\nsample query to help you get started. To learn more, see\nBigQuery's [Introduction to\nnotebooks](/bigquery/docs/notebooks-introduction).\n\nWrite and edit code with Gemini assistance\n------------------------------------------\n\nYou can use Gemini in Colab Enterprise, which is a product in\nthe [Gemini for Google Cloud](/gemini/docs/overview) portfolio,\nto help you write and generate code in a Colab Enterprise notebook.\nGemini in Colab Enterprise can also help you fix\nerrors in your code. To learn more, see [Write code\nwith Gemini assistance](/colab/docs/use-code-completion).\n\nIdle shutdown\n-------------\n\nTo help manage costs, Colab Enterprise runtimes shut down when they're\ninactive for a specific time period. You can change the amount of time\nor turn this feature off.\n\nFor more information, see [Idle shutdown](/colab/docs/idle-shutdown).\n\nRun code that interacts with Google Cloud services and APIs\n-----------------------------------------------------------\n\nBy default Colab Enterprise notebooks use your user credentials to\nauthenticate and authorize code that interacts with other Google Cloud\nservices.\n\nThis means that the notebook's code has the same level of access to\nGoogle Cloud that the user does. This makes it easier to\nwrite and run code that interacts with Google Cloud services.\n\nFor more information, see\n[Run code that interacts with Google Cloud](/colab/docs/run-code-adc).\n\nSchedule notebook runs\n----------------------\n\nYou can schedule a notebook to run immediately for one time, or on a\nrecurring schedule. Colab Enterprise stores the results in\nCloud Storage for you to review and share with others. For more\ninformation, see [Schedule a notebook run](/colab/docs/schedule-notebook-run).\n\nUse with customer-managed encryption keys (CMEK)\n------------------------------------------------\n\nBy default, Google Cloud automatically\n[encrypts data when it is at rest](/security/encryption/default-encryption)\nusing encryption keys managed by Google. If you have specific compliance\nor regulatory requirements related to the keys that protect your data,\nyou can use customer-managed encryption keys (CMEK) with your\nColab Enterprise runtimes and notebooks. For more information,\nsee [Use customer-managed encryption keys (CMEK)](/colab/docs/cmek).\n\nAccess Transparency\n-------------------\n\nColab Enterprise supports Access Transparency. Access Transparency provides\nyou with logs that capture the actions Google\npersonnel take when accessing your content. You can enable Access Transparency\nfor a Google Cloud project, if the project resides in an organization. See\n[Enabling Access Transparency](/logging/docs/audit/enable-access-transparency).\n\nFor more information about Access Transparency, see [Overview of\nAccess Transparency](/assured-workloads/access-transparency/docs/overview).\n\nReserve VM resources\n--------------------\n\nUse\n[Compute Engine reservations](/compute/docs/instances/reservations-overview)\nto gain a high level of assurance that your Colab Enterprise runtimes\nhave enough virtual machine (VM) resources to run.\n\nReservations are a Compute Engine feature. They help make sure that\nyou have the resources available to create VMs with the same hardware\n(memory and vCPUs) and optional resources (GPUs and Local SSD disks)\nwhenever you need them.\n\nFor more information, see [Use reservations](/colab/docs/reservations).\n\nColab Enterprise is different from Colab\n----------------------------------------\n\nColab Enterprise is different from\n[Colaboratory](https://colab.google/), which is still available. Both\nhave specific advantages that can be helpful depending on your needs.\nSee the main differences in the following table:\n\nLimitations\n-----------\n\nConsider the following limitations of Colab Enterprise\nwhen planning your project:\n\n- The file size of imported notebooks is limited to approximately 20 MB. Working with a notebook that is near the size limit can impact performance.\n\nSee also [Quotas and limits](/colab/docs/quotas).\n\nWhat's next\n-----------\n\n- [Create a Colab Enterprise\n notebook](/colab/docs/create-console-quickstart).\n\n- Learn more about [runtimes and runtime templates](/colab/docs/runtimes)."]]
