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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 limits on Vertex AI resources. These limits are
unrelated to the quota system. Limits can't be changed.
Request quotas
The following quotas apply to Vertex AI requests for a given
project and supported region. For example, in a single project, you can have up
to 30,000 online prediction requests per minute in one region and another 30,000
online prediction requests per minute in another supported region.
Request type
Requests per minute
Resource management (CRUD) requests1
600
Job or long-running operation (LRO) submission requests
1Resource management requests include any request that isn't a
job, an LRO, an online prediction request, a
Vertex AI Vizier request, an ML metadata request, a Vertex AI TensorBoard
Timeseries Insights API read request, a Vertex AI Feature Store
request, a Vertex AI Feature Store streaming request, or a
Vector Search request.
2 This quota applies for public endpoints only. Private endpoints
have unlimited requests per minute.
Jobs or LROs include the following requests:
Create or delete a dataset.
Import or export data to or from a dataset.
Create an endpoint.
Create or delete a custom job.
Create or delete a data-labeling job.
Create or delete a hyper-parameter tuning job.
Create or delete a batch-prediction job.
Create or delete a model.
Upload, delete, or export a model.
Create or delete a notebook-runtime template.
Assign, delete, start, or upgrade a notebook runtime.
The following quotas apply to each data type and objective for a given project
and region. For example, in a particular project and region, you can deploy 10
AutoML image classification models and 10 AutoML image object
detection models for a total of 20 deployed models.
The following limits apply to each data type for a given project and region. For
example, in a particular project and region, you can include a maximum of
1,000,000 images in a batch request input.
Image
Type of limit
Value
Image file size
Maximum: 30MB
Images per dataset
Maximum: 1,000,000
Labels per dataset
Minimum: 2 Maximum: 5000
Images per label
Minimum: 10 Recommended: 1000
Batch input CSV file size
Maximum: 100MB
Number of images in batch input
Maximum: 1,000,000
Tabular
Type of limit
Value
Maximum size
100GB
Number of rows
Between 1,000 and 200,000,000 rows
Number of columns
Between 2 and 1,000 columns
Number of concurrently running dataset imports
5 imports
CSV file size
Maximum: 10GB per file, up to maximum total amount of 100GB
Text
Character counts assume UTF-8 characters.
Type of limit
Classification
Entity extraction
Sentiment analysis
Training items
10 to 1,000,000
50 to 100,000
10 to 100,000
Labels per dataset
2 to 5,000
1 to 100
2 to 11
Length of label name
1 to 32
1 to 32
Integer from 0 to 10
Length of annotated span
N/A
1 to 100 characters
N/A
Training items per label
10 to 1,000,000
100 to 100,000
10 to 100,000
Training item size
10MB
5,000,000 characters
128 KB (text); 20MB (PDF)
10 to 300,000 characters (text)
128 KB (text); 2MB (PDF)
60,000 characters
Item sent for prediction
128 KB (text); 2MB (PDF)
60,000 characters
20MB
128 KB (text); 2MB (PDF)
60,000 characters
Items per batch request
10,000
10,000
10,000
Video
Type of limit
Value
Maximum video length
3 hours
Maximum video file size
50GB
Minimum labels per dataset
2
Minimum videos per label
10 (1000 is recommended)
Batch input CSV file size
Maximum: 100MB
Number of video segments in batch input
Maximum: 1,000
Custom-trained model quotas
The following quotas apply to Vertex AI custom-trained models for a
given project and region.
Training
Quota
Value
Concurrent custom training pipelines
2,000
Number of N1 and E2 CPUs for training, per region
Region
Value
us-west1
2,200
us-west2
20
us-west3
2,200
us-west4
20
us-central1
2,200
us-east1
2,200
us-east4
20
us-east5
450
us-south1
450
northamerica-northeast1
2,200
northamerica-northeast2
20
southamerica-east1
20
southamerica-west1
20
europe-west2
2,200
europe-west1
2,200
europe-west4
2,200
europe-west6
20
europe-west3
2,200
europe-north1europe-central2
20
europe-west8
20
europe-west9
450
europe-southwest1asia-south1
20
asia-southeast1
2,200
asia-southeast2
2,200
asia-east2
2,200
asia-east1
2,200
asia-northeast1
2,200
asia-northeast2
20
australia-southeast1
2,200
australia-southeast2
20
asia-northeast3
2,200
me-west1
450
me-central1
450
me-central2
450
europe-west12
450
africa-south1
450
Number of N2 CPUs for training, per region
Region
Value
us-west1
20
us-west2
20
us-west3
20
us-west4
20
us-central1
450
us-east1
20
us-east4
20
us-east5
450
us-south1
20
northamerica-northeast1
20
northamerica-northeast2
20
southamerica-east1
20
southamerica-west1
20
europe-west2
20
europe-west1
20
europe-west4
450
europe-west6
20
europe-west3
20
europe-north1europe-central2
20
europe-west8
20
europe-west9
450
europe-southwest1asia-south1
20
asia-southeast1
20
asia-southeast2
20
asia-east2
20
asia-east1
450
asia-northeast1
20
asia-northeast2
20
australia-southeast1
20
australia-southeast2
20
asia-northeast3
20
me-west1
20
me-central1
450
me-central2
450
europe-west12
450
africa-south1
450
Number of M1 CPUs for training, per region
Region
Value
us-west1
0
us-west2
0
us-west3
0
us-west4
0
us-central1
0
us-east1
0
us-east4
0
us-east5
0
us-south1
0
northamerica-northeast1
0
northamerica-northeast2
0
southamerica-east1
0
southamerica-west1
0
europe-west2
0
europe-west1
0
europe-west4
0
europe-west6
0
europe-west3
0
europe-north1europe-central2
0
europe-west8
0
europe-west9
0
europe-southwest1asia-south1
0
asia-southeast1
0
asia-southeast2
0
asia-east2
0
asia-east1
0
asia-northeast1
0
asia-northeast2
0
australia-southeast1
0
australia-southeast2
0
asia-northeast3
0
me-west1
0
me-central1
0
me-central2
0
europe-west12
0
africa-south1
0
Number of C2 CPUs for training, per region
Region
Value
us-west1
20
us-west2
20
us-west3
20
us-west4
20
us-central1
450
us-east1
20
us-east4
20
us-east5
450
us-south1
20
northamerica-northeast1
20
northamerica-northeast2
20
southamerica-east1
20
southamerica-west1
20
europe-west2
20
europe-west1
20
europe-west4
450
europe-west6
20
europe-west3
20
europe-north1europe-central2
20
europe-west8
20
europe-west9
450
europe-southwest1asia-south1
20
asia-southeast1
20
asia-southeast2
20
asia-east2
20
asia-east1
450
asia-northeast1
20
asia-northeast2
20
australia-southeast1
20
australia-southeast2
20
asia-northeast3
20
me-west1
20
me-central1
20
me-central2
20
europe-west12
20
africa-south1
20
Number of A2 CPUs for training, per region
Region
Value
us-west1
Not available
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
Unlimited
us-east1
Unlimited
us-east4
Unlimited
us-east5
Not available
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
Not available
europe-west4
Unlimited
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
Unlimited
asia-southeast2
Not available
asia-east2
Not available
asia-east1
Not available
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
Not available
australia-southeast2
Not available
asia-northeast3
Unlimited
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of concurrent A3 CPUs for training, per region
Region
Value
us-west1
Not available
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
Unlimited
us-east1
Not available
us-east4
Not available
us-east5
Unlimited
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
Not available
europe-west4
Unlimited
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
Unlimited
asia-southeast2
Not available
asia-east2
Not available
asia-east1
Not available
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
Not available
australia-southeast2
Not available
asia-northeast3
Not available
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of P4 GPUs for training, per region
Region
Value
us-west1
Not available
us-west2
6
us-west3
Not available
us-west4
Not available
us-central1
6
us-east1
Not available
us-east4
1
us-east5
Not available
us-south1
Not available
northamerica-northeast1
6
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
Not available
europe-west4
6
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
6
asia-southeast2
Not available
asia-east2
Not available
asia-east1
Not available
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
6
australia-southeast2
Not available
asia-northeast3
Not available
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of T4 GPUs for training, per region
Region
Value
us-west1
2
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
12
us-east1
2
us-east4
Not available
us-east5
Not available
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
6
europe-west1
Not available
europe-west4
2
europe-west6
Not available
europe-west3
0
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
1
asia-southeast2
Not available
asia-east2
Not available
asia-east1
Not available
asia-northeast1
6
asia-northeast2
Not available
australia-southeast1
Not available
australia-southeast2
Not available
asia-northeast3
1
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of L4 GPUs for training, per region
Region
Value
us-west1
0
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
0
us-east1
0
us-east4
0
us-east5
Not available
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
Not available
europe-west4
0
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
0
asia-southeast2
Not available
asia-east2
Not available
asia-east1
Not available
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
Not available
australia-southeast2
Not available
asia-northeast3
0
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of P100 GPUs for training, per region
Region
Value
us-west1
30
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
56
us-east1
30
us-east4
Not available
us-east5
Not available
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
30
europe-west4
Not available
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
Not available
asia-southeast2
Not available
asia-east2
Not available
asia-east1
30
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
6
australia-southeast2
Not available
asia-northeast3
Not available
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of V100 GPUs for training, per region
Region
Value
us-west1
6
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
6
us-east1
Not available
us-east4
Not available
us-east5
Not available
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
Not available
europe-west4
6
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
Not available
asia-southeast2
Not available
asia-east2
Not available
asia-east1
6
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
Not available
australia-southeast2
Not available
asia-northeast3
Not available
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of A100 GPUs for training, per region
Region
Value
us-west1
Not available
us-west2
Not available
us-west3
Not available
us-west4
Not available
us-central1
8
us-east1
Not available
us-east4
Not available
us-east5
Not available
us-south1
Not available
northamerica-northeast1
Not available
northamerica-northeast2
Not available
southamerica-east1
Not available
southamerica-west1
Not available
europe-west2
Not available
europe-west1
Not available
europe-west4
8
europe-west6
Not available
europe-west3
Not available
europe-north1europe-central2
Not available
europe-west8
Not available
europe-west9
Not available
europe-southwest1asia-south1
Not available
asia-southeast1
8
asia-southeast2
Not available
asia-east2
Not available
asia-east1
Not available
asia-northeast1
Not available
asia-northeast2
Not available
australia-southeast1
Not available
australia-southeast2
Not available
asia-northeast3
Not available
me-west1
Not available
me-central1
Not available
me-central2
Not available
europe-west12
Not available
africa-south1
Not available
Number of concurrent A100 80GB GPUs for training, per region
The following quotas apply to a given project and region. For example, in a
single project, you can have 200 online serving nodes in us-central1 and
another 50 nodes in us-east4.
Quota
Value
Online serving requests per minute
300,000
Maximum number of FeatureOnlineStore instances
10
Maximum number of search requests per minute
6,000,000
Maximum number of online serving nodes across all Optimized FeatureOnlineStore instances in the project
80
Maximum number of FeatureView instances across all FeatureOnlineStore instances
30
Vertex AI Feature Store also has the following limits. You can't request an increase to any of the limits in the following table:
Limit
Value
Maximum number of FeatureGroup resources in a project and location
250
Maximum number of Feature resources within a FeatureGroup
10,000
Maximum size of feature data per entity
5 MB
Number of entity IDs per online serving request (FetchFeatureValues)
1
Maximum length of an entity ID
4076 characters
Storage limit for an Optimized online serving node
200 GB
Vertex AI Feature Store (Legacy)
The following quotas apply to a given project and region. For example, in a
single project, you can have 75 concurrent batch jobs in us-central1 and
another 75 jobs in europe-west4.
Quota
Value
Online serving requests per minute
300,000
Streaming ingestion requests per minute
60,000
Streaming ingestion write throughput per minute
1.2 GB
Feature creation requests per minute
100
Online serving nodes across all featurestores
30
Concurrent batch jobs (ingestion, serving, and delete feature values combined)
75
Concurrent requests to delete feature values
1
Entity types across all featurestores
75
Vertex AI Feature Store (Legacy) also has the following limits. You can't request an increase to any of the limits in the following table:
Limit
Value
Storage limit for an online serving node
5 TB
Total data in the offline store
Unlimited
Features per entity type
5,000
Number of create, update, and delete featurestore requests per day per
project per region
500
For streaming ingestion, the size per request
1 MB
For streaming read, the number of entities that can be included per
request
100
For batch import, the number of files that can be included per
request
5,000 for Avro or 500 for CSV
For batch serving and exports, the number of features you can
request
5,000
For batch ingestion and streaming ingestion, the oldest timestamp for which feature data can be ingested
4,000 days from current date
The data retention limit in Vertex AI Feature Store (Legacy) has the following default value, which you can override:
Data retention defaults
Default value
Data retention in offline store (oldest feature value timestamp after which the values
are deleted)
4,000 days from the current date
Data retention in online store (oldest feature value timestamp after which the values
are deleted)
4,000 days from the current date
You can override the data retention limit in the following ways:
To override the data retention limit for the online store, set the online_storage_ttl_days parameter while creating or updating a featurestore.
To override the data retention limit for the offline store, set the offline_storage_ttl_days parameter while creating or updating an entity type.
Vector Search
The following quotas apply to Vector Search for a given
project in each region.
Quota
Value
Concurrent index creation operations
5
Concurrent index update operations
5
Number of deployed index nodes
50
Number of deployed index N2D nodes
5
Number of Index
100
Streaming Update requests per minute
6,000
Streaming Update throughput(in KB) per minute
120,000
Vertex ML Metadata
The following limits apply to Vertex ML Metadata for a
given project in each region.
Limit
Value
Maximum serialized size of the metadata field within a resource
204,800 bytes
Maximum serialized size of metadata schemas
204,800 bytes
Vertex AI Pipelines
The following quotas and limits apply to Vertex AI Pipelines for a
given project in each region.
Quota
Value
Running pipeline tasks in parallel*
600
Concurrent pipeline runs*
300
* Pipeline run and task requests beyond this limit are queued until resources are available.
Vertex AI Pipelines have the following limits. Note that,
unlike quotas, you can't request an increase to a limit.
Limit
Value
Number of pipeline tasks per job
10,000
Input and output artifacts per pipeline task
100
Input and output artifacts per pipeline job
10,000
Maximum size of JSON payload containing output parameters and artifacts per pipeline task
131,072 bytes
Maximum running time for a pipeline task**
7 days
* Pipeline tasks running beyond this limit are cancelled.
Vertex AI Decision Optimization
The following quotas and limits apply to Vertex AI Decision Optimization for a
given project in each region.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-12-20 UTC."],[],[]]