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 means 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.
Total requests quotas
The following quotas apply to AML AI requests:
| Quota | Value |
|---|---|
| Requests per second per project per region | 100 |
| Requests per second per organization per region | 100 |
Number of parties used in requests to
projects.locations.instances.engineConfigs.create
per day per project |
55,000,000 |
Number of parties used in requests to
projects.locations.instances.engineConfigs.create
per day per organization |
55,000,000 |
Number of parties used in requests to
projects.locations.instances.models.create
per day per project |
55,000,000 |
Number of parties used in requests to
projects.locations.instances.models.create
per day per organization |
55,000,000 |
Number of parties used in requests to
projects.locations.instances.backtestResults.create
multiplied by the number of backtest periods per day per project |
55,000,000 |
Number of parties used in requests to
projects.locations.instances.backtestResults.create
multiplied by the number of backtest periods per day per organization |
55,000,000 |
Number of registered parties used in requests to
projects.locations.instances.predictionResults.create
multiplied by the number of prediction periods per day per project |
55,000,000 |
Number of registered parties used in requests to
projects.locations.instances.predictionResults.create
multiplied by the number of prediction periods per day per organization |
55,000,000 |
Concurrent request quotas
The following quotas apply to concurrent requests:
| Quota | Value |
|---|---|
| Tuning requests per project per region | 1 |
| Training requests per project per region | 5 |
Inference requests (
projects.locations.instances.backtestResults.create
and
projects.locations.instances.predictionResults.create
combined) per project per region |
5 |
Collection size quotas
The following quotas apply to AML AI collections. These quotas don't reset over time and instead are released when you delete a resource.
| Quota | Value |
|---|---|
| Instances per project per region | 10 |
| Datasets per project per region | 1000 |
| EngineConfigs per project per region | 1000 |
| Models per project per region | 1000 |
Registered parties allocation limit
| Quota | Value |
|---|---|
| Registered parties per project per region | 20,000,000 |
Request a quota increase
AML AI does not currently support increasing quotas via the Google Cloud console, to request a quota increase, please reach out to support.
To decrease most quotas, use the Google Cloud console. For more information, see Requesting a higher quota.
Set up quota alerts
You can set up quota alerts to get notifications when quota usage reaches a defined threshold. For more information, see Set up quota usage alerts in the Quotas page.