Quotas and limits

This document lists the quotas and system limits that apply to Colab Enterprise.

  • Quotas specify the amount of a countable, shared resource that you can use. Quotas are defined by Google Cloud services such as Colab Enterprise.
  • System limits are fixed values that cannot be changed.

Google Cloud uses quotas to help ensure fairness and reduce spikes in resource use and availability. A quota restricts how much of a Google Cloud resource your Google Cloud project can use. Quotas apply to a range of resource types, including hardware, software, and network components. For example, quotas can restrict the number of API calls to a service, the number of load balancers used concurrently by your project, or the number of projects that you can create. Quotas protect the community of Google Cloud users by preventing the overloading of services. Quotas also help you to manage your own Google Cloud resources.

The Cloud Quotas system does the following:

  • Monitors your consumption of Google Cloud products and services
  • Restricts your consumption of those resources
  • Provides a way to request changes to the quota value

In most cases, when you attempt to consume more of a resource than its quota allows, the system blocks access to the resource, and the task that you're trying to perform fails.

Quotas generally apply at the Google Cloud project level. Your use of a resource in one project doesn't affect your available quota in another project. Within a Google Cloud project, quotas are shared across all applications and IP addresses.

There are also system limits on Colab Enterprise resources. System limits can't be changed.

Compute Engine quotas

Colab Enterprise runtimes use Compute Engine quotas, including quotas for virtual machine (VM) instances, disks, CPUs, and GPUs. For more information, see the Compute Engine Allocation quotas page.

Vertex AI request quotas

Colab Enterprise runtime and runtime template requests count toward Vertex AI quotas. The relevant Vertex AI quotas include the following:

Vertex AI quota Colab Enterprise interaction Limit
Resource management requests Runtime and runtime template requests 600/minute
Job or long-running operation requests per minute Runtime and runtime template requests 60/minute

Dataform request quotas

Colab Enterprise notebooks are stored in Dataform. When you create or interact with a notebook, Colab Enterprise sends an API request to Dataform. Dataform has the following relevant API quotas:

Dataform quota Colab Enterprise interaction Limit
Total requests per project Notebook (IPYNB file) operations 6,000/minute

Other Dataform quotas such as package installation requests per project or workflow actions per execution don't apply to Colab Enterprise.

Notebook operations

Notebook (IPYNB file) operations count toward the Dataform quota for total requests per project. For example, notebook file operations include the following:

  • Creating, saving, and renaming a notebook.
  • Opening, downloading, and uploading a notebook.
  • Viewing each version of a notebook's revision history and reinstating a previous version.

Usage limits

Colab Enterprise enforces the following usage limits:

Usage limit Value
File size per uploaded notebook

Approximately 20 MB

Working with a notebook that is near the size limit can impact performance.

Request a quota increase

To adjust most quotas, use the Google Cloud console. For more information, see Request a quota adjustment.