配額會指定您可使用的可計數共用資源數量。配額是由 Google Cloud 服務 (例如 Colab Enterprise) 所定義。
系統限制是固定值，無法變更。
Google Cloud 會使用配額來確保公平性，並減少資源使用量和可用性暴增的情況。配額會限制專案可使用的Google Cloud 資源 Google Cloud 數量。配額適用於各種資源類型，包括硬體、軟體和網路元件。舉例來說，配額可以限制對服務發出的 API 呼叫數、專案並行使用的負載平衡器數量，或是可建立的專案數量。配額可以預防服務過載，進而保障Google Cloud 使用者社群的權益。配額也能協助您管理自己的 Google Cloud 資源。
[[["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 uses quotas to manage resource usage and system limits, which are fixed and cannot be changed, ensuring fairness and preventing service overload for Google Cloud users.\u003c/p\u003e\n"],["\u003cp\u003eQuotas restrict the amount of Google Cloud resources a project can use, applying to hardware, software, and network components, and they are generally applied at the project level, not affecting available quota in other projects.\u003c/p\u003e\n"],["\u003cp\u003eColab Enterprise interactions, such as runtime and template requests, count toward Vertex AI quotas, with limits of 600 resource management requests per minute and 60 job requests per minute.\u003c/p\u003e\n"],["\u003cp\u003eNotebook operations within Colab Enterprise contribute to Dataform's total requests per project quota, with a limit of 6,000 per minute, and include actions like creating, saving, renaming, and viewing notebook revisions.\u003c/p\u003e\n"],["\u003cp\u003eColab Enterprise enforces a file size limit of approximately 20 MB per imported notebook, and working near this limit may impact performance, with most quotas adjustable through the Google Cloud console.\u003c/p\u003e\n"]]],[],null,["# Quotas and limits\n=================\n\nThis document lists the quotas and system limits that apply to\nColab Enterprise.\n\n- *Quotas* specify the amount of a countable, shared resource that you can use. Quotas are defined by Google Cloud services such as Colab Enterprise.\n- *System limits* are fixed values that cannot be changed.\n\nGoogle Cloud uses quotas to help ensure fairness and reduce\nspikes in resource use and availability. A quota restricts how much of a\nGoogle Cloud resource your Google Cloud project can use. Quotas\napply to a range of resource types, including hardware, software, and network\ncomponents. For example, quotas can restrict the number of API calls to a\nservice, the number of load balancers used concurrently by your project, or the\nnumber of projects that you can create. Quotas protect the community of\nGoogle Cloud users by preventing the overloading of services. Quotas also\nhelp you to manage your own Google Cloud resources.\n\nThe Cloud Quotas system does the following:\n\n- Monitors your consumption of Google Cloud products and services\n- Restricts your consumption of those resources\n- Provides a way to [request changes to the quota value](/docs/quotas/help/request_increase) and [automate quota adjustments](/docs/quotas/quota-adjuster)\n\nIn most cases, when you attempt to consume more of a resource than its quota\nallows, the system blocks access to the resource, and the task that\nyou're trying to perform fails.\n\nQuotas generally apply at the Google Cloud project\nlevel. Your use of a resource in one project doesn't affect\nyour available quota in another project. Within a Google Cloud project, quotas\nare shared across all applications and IP addresses.\n\n\nThere are also *system limits* on Colab Enterprise resources.\nSystem limits can't be changed.\n\nCompute Engine quotas\n---------------------\n\nColab Enterprise runtimes use Compute Engine quotas, including quotas for\nvirtual machine (VM) instances, disks, CPUs, and GPUs. For more information,\nsee the Compute Engine [Allocation quotas\npage](/compute/resource-usage).\n\nVertex AI request quotas\n------------------------\n\nColab Enterprise runtime and runtime template requests count\ntoward Vertex AI quotas. The relevant Vertex AI\nquotas include the following:\n\nDataform request quotas\n-----------------------\n\nColab Enterprise notebooks are stored in Dataform. When you\ncreate or interact with a notebook, Colab Enterprise sends an API\nrequest to Dataform. Dataform has the following\nrelevant API quotas:\n\nOther Dataform quotas such as package installation\nrequests per project or workflow actions per execution don't apply to\nColab Enterprise.\n\n### Notebook operations\n\nNotebook (IPYNB file) operations count toward the Dataform quota\nfor total requests per project. For example, notebook file operations include\nthe following:\n\n- Creating, saving, and renaming a notebook.\n- Opening, downloading, and importing a notebook.\n- Viewing each version of a notebook's revision history and reinstating a previous version.\n\n| **Note:** Colab Enterprise regularly saves your notebook automatically when you make changes. Each of these automatic saves counts toward the Dataform quota.\n\nUsage limits\n------------\n\nColab Enterprise enforces the following usage limits:\n\nRequest a quota increase\n------------------------\n\nTo adjust most quotas, use the Google Cloud console.\nFor more information, see\n[Request a quota adjustment](/docs/quotas/help/request_increase)."]]
