Vertex AI locations

For Generative AI locations, see Generative AI on Vertex AI locations.

Google Cloud uses regions, subdivided into zones, to define the geographic location of physical computing resources. Google stores and processes your data only in the region you specify for all features of Vertex AI except for data labeling tasks and any feature in experimental or preview launch status.

Choosing your location

You can choose any supported location when you create a dataset, train a custom-trained model that doesn't use a managed dataset, or when you import an existing model. You should typically use the region closest to your physical location or the physical location of your intended users, but check that the Vertex AI feature you want to use is supported in your region. There is no global location.

For operations other than creating a dataset or importing a model, you must use the location of the resources you are operating on. For example, when you create a training pipeline that uses a managed dataset, you must use the region where the dataset is located.

Specifying the location using Google Cloud console

When you use Google Cloud console, you specify the location by using the location drop-down menu:

locations drop-down menu

Specifying the location using the Vertex AI API

You specify the location for a Vertex AI API request by using the appropriate regional endpoint.

For example, to make a request in the europe-west4 region, use the following endpoint:

https://europe-west4-aiplatform.googleapis.com

To make a request in the us-central1 region, use the following endpoint:

https://us-central1-aiplatform.googleapis.com

When you specify a resource, you use the name of the resource's region as the location. For example, a dataset in the us-central1 region would be specified using the following path:

projects/PROJECT/locations/us-central1/datasets/DATASET_ID

See the list of supported service endpoints.

Available locations

Vertex AI is available in the following regions:

United States

Columbus, Ohio (us-east5)
Dallas, Texas (us-south1)
Iowa (us-central1)
Las Vegas, Nevada (us-west4)
Los Angeles, California (us-west2)
Moncks Corner, South Carolina (us-east1)
Northern Virginia (us-east4)
Oregon (us-west1)
Salt Lake City, Utah (us-west3)

Canada

Montréal (northamerica-northeast1)
Toronto (northamerica-northeast2)

South America

Santiago, Chile (southamerica-west1)
São Paulo, Brazil (southamerica-east1)

Africa

Johannesburg, South Africa (africa-south1)

Europe

Belgium (europe-west1)
Finland (europe-north1)
Frankfurt, Germany (europe-west3)
London, United Kingdom (europe-west2)
Madrid, Spain (europe-southwest1)
Milan, Italy (europe-west8)
Netherlands (europe-west4)
Paris, France (europe-west9)
Turin, Italy (europe-west12)
Warsaw, Poland (europe-central2)
Zürich, Switzerland (europe-west6)

Asia Pacific

Hong Kong, China (asia-east2)
Jakarta, Indonesia (asia-southeast2)
Melbourne, Australia (australia-southeast2)
Mumbai, India (asia-south1)
Osaka, Japan (asia-northeast2)
Seoul, Korea (asia-northeast3)
Singapore (asia-southeast1)
Sydney, Australia (australia-southeast1)
Taiwan (asia-east1)
Tokyo, Japan (asia-northeast1)

Middle East

Dammam, Saudi Arabia (me-central2)
Doha, Qatar (me-central1)
Tel Aviv (me-west1)

For Generative AI locations, see Generative AI on Vertex AI locations.

Google Cloud also provides additional regions for products other than Vertex AI.

Feature availability

Some Vertex AI features are not available in all regions. The following table lists the features that are available in each region.

The following sortable table lets you select different options to see where Vertex AI features are available. For example, to see a list of regions where Vertex AI Feature Store is available in Europe, you can select Europe from the Select a location drop-down menu, and Vertex AI Feature Store from the Select a feature drop-down menu.

Region	Location	Features
`asia-east1`	Changhua County, Taiwan, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Data labeling Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`africa-south1`	Johannesburg, South Africa, Africa	Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`asia-east2`	Hong Kong, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`asia-northeast1`	Tokyo, Japan, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`asia-northeast2`	Osaka, Japan, Asia Pacific	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Vector Search Vertex AI Feature Store * Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex ML Metadata
`asia-northeast3`	Seoul, South Korea, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`asia-south1`	Mumbai, India, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`asia-southeast1`	Jurong West, Singapore, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`asia-southeast2`	Jakarta, Indonesia, Asia Pacific	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`australia-southeast1`	Sydney, Australia, Asia Pacific	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`australia-southeast2`	Melbourne, Australia, Asia Pacific	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Vector Search Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex ML Metadata
`europe-central2`	Warsaw, Poland, Europe	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-north1` Low CO₂	Hamina, Finland, Europe	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Vector Search Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex ML Metadata
`europe-southwest1` Low CO₂	Madrid, Spain, Europe	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Vector Search Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west1` Low CO₂	St. Ghislain, Belgium, Europe	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west2` Low CO₂	London, England, Europe	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Data labeling Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west3` Low CO₂	Frankfurt, Germany, Europe	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Data labeling Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west4` Low CO₂	Eemshaven, Netherlands, Europe	AutoML for image data AutoML for tabular data AutoML for text data AutoML for video data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Data labeling Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west6` Low CO₂	Zürich, Switzerland, Europe	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west8`	Milan, Italy, Europe	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Vector Search Vertex AI Feature Store * Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex ML Metadata
`europe-west9` Low CO₂	Paris, France, Europe	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`europe-west12`	Turin, Italy, Europe	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vector Search Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`me-central1`	Doha, Qatar, Middle East	Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`me-central2`	Damman, Saudi Arabia, Middle East	Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`me-west1`	Tel Aviv, Israel, Middle East	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`northamerica-northeast1` Low CO₂	Montréal, Québec, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`northamerica-northeast2` Low CO₂	Toronto, Ontario, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`southamerica-east1` Low CO₂	Osasco, São Paulo, Brazil, South America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`southamerica-west1` Low CO₂	Santiago, Chile, South America	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Vector Search Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex ML Metadata
`us-central1` Low CO₂	Council Bluffs, Iowa, North America	AutoML for image data AutoML for tabular data AutoML for text data AutoML for video data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Data labeling Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-east1`	Moncks Corner, South Carolina, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-east4`	Ashburn, Virginia, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-east5`	Columbus, Ohio, North America	Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-south1` Low CO₂	Dallas, Texas, North America	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-west1` Low CO₂	The Dalles, Oregon, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Neural Architecture Search Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-west2`	Los Angeles, California, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-west3`	Salt Lake City, Utah, North America	AutoML for tabular data AutoML Forecasting Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata
`us-west4`	Las Vegas, Nevada, North America	AutoML for tabular data Custom model batch predictions Custom model online predictions Custom model training Model Monitoring Model Registry Ray on Vertex AI Vector Search Vertex AI Experiments Vertex AI Feature Store (Legacy) Vertex AI Pipelines Vertex AI TensorBoard Vertex AI Vizier Vertex Explainable AI Vertex ML Metadata

* Cells marked with asterisks represent regions where the service is available through the Vertex AI API but not in the Google Cloud console.

Vertex AI Workbench locations

See the following locations tables for Vertex AI Workbench:

Vertex AI Workbench instances
Managed notebooks
User-managed notebooks

Vertex AI Workbench instances locations

Vertex AI Workbench instances are available in the following zones.

Region	Location	Zones
`asia-east1` *	Changhua County, Taiwan, Asia Pacific	`asia-east1-a` `asia-east1-b` `asia-east1-c`
`asia-east2`	Hong Kong, Asia Pacific	`asia-east2-a` `asia-east2-b` `asia-east2-c`
`asia-northeast1`	Tokyo, Japan, Asia Pacific	`asia-northeast1-a` `asia-northeast1-b` `asia-northeast1-c`
`asia-northeast3`	Seoul, South Korea, Asia Pacific	`asia-northeast3-a` `asia-northeast3-b` `asia-northeast3-c`
`asia-south1`	Mumbai, India, Asia Pacific	`asia-south1-a` `asia-south1-b` `asia-south1-c`
`asia-southeast1`	Jurong West, Singapore, Asia Pacific	`asia-southeast1-a` `asia-southeast1-b` `asia-southeast1-c`
`asia-southeast2` *	Jakarta, Indonesia, Asia Pacific	`asia-southeast2-a` `asia-southeast2-b` `asia-southeast2-c`
`australia-southeast1`	Sydney, Australia, Asia Pacific	`australia-southeast1-a` `australia-southeast1-b` `australia-southeast1-c`
`europe-central2` *	Warsaw, Poland, Europe	`europe-central2-a` `europe-central2-b` `europe-central2-c`
`europe-west1` Low CO₂	St. Ghislain, Belgium, Europe	`europe-west1-b` `europe-west1-c` `europe-west1-d`
`europe-west2` * Low CO₂	London, England, Europe	`europe-west2-a` `europe-west2-b` `europe-west2-c`
`europe-west3` * Low CO₂	Frankfurt, Germany, Europe	`europe-west3-a` `europe-west3-b` `europe-west3-c`
`europe-west4` † Low CO₂	Eemshaven, Netherlands, Europe	`europe-west4-a` `europe-west4-b` `europe-west4-c`
`europe-west6` * Low CO₂	Zürich, Switzerland, Europe	`europe-west6-a` `europe-west6-b` `europe-west6-c`
`me-west1` *	Tel Aviv, Israel, Middle East	`me-west1-a` `me-west1-b` `me-west1-c`
`northamerica-northeast1` Low CO₂	Montréal, Québec, North America	`northamerica-northeast1-a` `northamerica-northeast1-b` `northamerica-northeast1-c`
`northamerica-northeast2` * Low CO₂	Toronto, Ontario, North America	`northamerica-northeast2-a` `northamerica-northeast2-b` `northamerica-northeast2-c`
`southamerica-east1` Low CO₂	Osasco, São Paulo, Brazil, South America	`southamerica-east1-a` `southamerica-east1-b` `southamerica-east1-c`
`us-central1` Low CO₂	Council Bluffs, Iowa, North America	`us-central1-a` `us-central1-b` `us-central1-c`
`us-east1` *	Moncks Corner, South Carolina, North America	`us-east1-b` `us-east1-c` `us-east1-d`
`us-east4` *	Ashburn, Virginia, North America	`us-east4-a` `us-east4-b` `us-east4-c`
`us-south1` * Low CO₂	Dallas, Texas, North America	`us-south1-a` `us-south1-b` `us-south1-c`
`us-west1` Low CO₂	The Dalles, Oregon, North America	`us-west1-a` `us-west1-b` `us-west1-c`
`us-west2` *	Los Angeles, California, North America	`us-west2-a` `us-west2-b` `us-west2-c`
`us-west3` *	Salt Lake City, Utah, North America	`us-west3-a` `us-west3-b` `us-west3-c`
`us-west4`	Las Vegas, Nevada, North America	`us-west4-a` `us-west4-b` `us-west4-c`

* Regions marked with asterisks don't support running or scheduling notebooks by using the Vertex AI Workbench executor.

† Regions marked with daggers don't support the ability to schedule a notebook run, but all other abilities of the Vertex AI Workbench executor are supported.

Managed notebooks regions

Managed notebooks are available in the following regions.

Region	Location
`asia-east2`	Hong Kong, Asia Pacific
`asia-northeast1`	Tokyo, Japan, Asia Pacific
`asia-northeast3`	Seoul, South Korea, Asia Pacific
`asia-south1`	Mumbai, India, Asia Pacific
`asia-southeast1`	Jurong West, Singapore, Asia Pacific
`australia-southeast1`	Sydney, Australia, Asia Pacific
`europe-west1` Low CO₂	St. Ghislain, Belgium, Europe
`europe-west4` † Low CO₂	Eemshaven, Netherlands, Europe
`northamerica-northeast1` Low CO₂	Montréal, Québec, North America
`southamerica-east1` Low CO₂	Osasco, São Paulo, Brazil, South America
`us-central1` Low CO₂	Council Bluffs, Iowa, North America
`us-east4`	Ashburn, Virginia, North America
`us-west1` Low CO₂	The Dalles, Oregon, North America
`us-west4`	Las Vegas, Nevada, North America

† Regions marked with daggers don't support the ability to schedule a notebook run, but all other abilities of the Vertex AI Workbench executor are supported.

User-managed notebooks locations

User-managed notebooks are available in the following zones.

Region	Location	Zones
`asia-east1`	Changhua County, Taiwan, Asia Pacific	`asia-east1-a` `asia-east1-b` `asia-east1-c`
`asia-east2`	Hong Kong, Asia Pacific	`asia-east2-a` `asia-east2-b` `asia-east2-c`
`asia-northeast1`	Tokyo, Japan, Asia Pacific	`asia-northeast1-a` `asia-northeast1-b` `asia-northeast1-c`
`asia-northeast3`	Seoul, South Korea, Asia Pacific	`asia-northeast3-a` `asia-northeast3-b` `asia-northeast3-c`
`asia-south1`	Mumbai, India, Asia Pacific	`asia-south1-a` `asia-south1-b` `asia-south1-c`
`asia-southeast1`	Jurong West, Singapore, Asia Pacific	`asia-southeast1-a` `asia-southeast1-b` `asia-southeast1-c`
`asia-southeast2`	Jakarta, Indonesia, Asia Pacific	`asia-southeast2-a` `asia-southeast2-b` `asia-southeast2-c`
`australia-southeast1`	Sydney, Australia, Asia Pacific	`australia-southeast1-a` `australia-southeast1-b` `australia-southeast1-c`
`europe-central2`	Warsaw, Poland, Europe	`europe-central2-a` `europe-central2-b` `europe-central2-c`
`europe-west1` Low CO₂	St. Ghislain, Belgium, Europe	`europe-west1-b` `europe-west1-c` `europe-west1-d`
`europe-west2` Low CO₂	London, England, Europe	`europe-west2-a` `europe-west2-b` `europe-west2-c`
`europe-west3` Low CO₂	Frankfurt, Germany, Europe	`europe-west3-a` `europe-west3-b` `europe-west3-c`
`europe-west4` Low CO₂	Eemshaven, Netherlands, Europe	`europe-west4-a` `europe-west4-b` `europe-west4-c`
`europe-west6` Low CO₂	Zürich, Switzerland, Europe	`europe-west6-a` `europe-west6-b` `europe-west6-c`
`me-west1`	Tel Aviv, Israel, Middle East	`me-west1-a` `me-west1-b` `me-west1-c`
`northamerica-northeast1` Low CO₂	Montréal, Québec, North America	`northamerica-northeast1-a` `northamerica-northeast1-b` `northamerica-northeast1-c`
`northamerica-northeast2` Low CO₂	Toronto, Ontario, North America	`northamerica-northeast2-a` `northamerica-northeast2-b` `northamerica-northeast2-c`
`southamerica-east1` Low CO₂	Osasco, São Paulo, Brazil, South America	`southamerica-east1-a` `southamerica-east1-b` `southamerica-east1-c`
`us-central1` Low CO₂	Council Bluffs, Iowa, North America	`us-central1-a` `us-central1-b` `us-central1-c`
`us-east1`	Moncks Corner, South Carolina, North America	`us-east1-b` `us-east1-c` `us-east1-d`
`us-east4`	Ashburn, Virginia, North America	`us-east4-a` `us-east4-b` `us-east4-c`
`us-south1` Low CO₂	Dallas, Texas, North America	`us-south1-a` `us-south1-b` `us-south1-c`
`us-west1` Low CO₂	The Dalles, Oregon, North America	`us-west1-a` `us-west1-b` `us-west1-c`
`us-west2`	Los Angeles, California, North America	`us-west2-a` `us-west2-b` `us-west2-c`
`us-west3`	Salt Lake City, Utah, North America	`us-west3-a` `us-west3-b` `us-west3-c`
`us-west4`	Las Vegas, Nevada, North America	`us-west4-a` `us-west4-b` `us-west4-c`

Region considerations

Using accelerators

Accelerators are available on a region basis. The following table lists all the available accelerators for each region.

You can search either by location or GPU model, or a combination of both.

Region	Location	Accelerators
`asia-east1`	Changhua County, Taiwan, Asia Pacific	L4^†, P100, T4, TPU V2^*, V100
`asia-east2`	Hong Kong, Asia Pacific	T4
`asia-northeast1`	Tokyo, Japan, Asia Pacific	A100 40GB^†, L4^†, T4, V100^*
`asia-northeast3`	Seoul, South Korea, Asia Pacific	A100 40GB, L4, T4, V100^*
`asia-south1`	Mumbai, India, Asia Pacific	L4, T4, V100^*
`asia-southeast1`	Jurong West, Singapore, Asia Pacific	A100 40GB, A100 80GB^‡, H100^†, L4, P4, T4
`asia-southeast2`	Jakarta, Indonesia, Asia Pacific	T4
`australia-southeast1`	Sydney, Australia, Asia Pacific	P4, P100, T4
`europe-west1`	St. Ghislain, Belgium, Europe	L4^†, P100, T4
`europe-west2`	London, England, Europe	L4, T4
`europe-west3`	Frankfurt, Germany, Europe	T4^*
`europe-west4`	Eemshaven, Netherlands, Europe	A100 40GB, A100 80GB^‡, H100, L4, P4, T4, TPU V2^, TPU V2 Pod^, TPU V3^, TPU V3 Pod^, V100
`northamerica-northeast1`	Montréal, Québec, North America	P4, T4
`southamerica-east1`	Osasco, São Paulo, Brazil, South America	T4
`us-central1`	Council Bluffs, Iowa, North America	A100 40GB, A100 80GB^‡, H100, L4, P4, P100, T4, TPU V2^, TPU V2 Pod^, TPU V3^, TPU v5e^, V100
`us-east1`	Moncks Corner, South Carolina, North America	A100 40GB^, L4, P100, T4, TPU V3^, V100^*
`us-east4`	Ashburn, Virginia, North America	A100 80GB^‡, H100, L4, P4, T4
`us-west1`	The Dalles, Oregon, North America	L4, P100, T4, H100, TPU v5e, V100
`us-west2`	Los Angeles, California, North America	P4, T4
`us-west4`	Las Vegas, Nevada, North America	L4^†, T4, TPU v5e^*

^* The specified accelerator isn't available for serving batch or online predictions.

^† The specified accelerator isn't available for training.

^‡ The specified accelerator isn't available for Vertex AI Workbench managed notebooks or user-managed notebooks.

If your job uses multiple types of GPUs, they must all be available in a single zone in your region. For example, you can't run a job in australia-southeast1 using NVIDIA Tesla P4 GPUs, NVIDIA Tesla T4 GPUs, and NVIDIA Tesla P100 GPUs. While all of these GPUs are available for jobs in australia-southeast1, no single zone in that region provides all three types of GPU. To learn more about the zone availability of GPUs, see GPU availability by regions and zones.

BigQuery location requirements

When you use a BigQuery table as a source for a managed tabular dataset or tabular prediction data, it must conform to the following location requirements:

Americas

BigQuery tables can be either multi-regional (US) or regional (us-central1).
BigQuery views must be regional (us-central1).
If the table or view is not in the same project that the Vertex AI job is running in, make sure that Vertex AI has the correct roles.

Europe

BigQuery tables and views must be regional (europe-west4).
Location: The region that your Vertex AI job runs in, such as us-central1, europe-west4, or asia-east1.
If the table or view is not in the same project that the Vertex AI job is running in, make sure that Vertex AI has the correct roles.

Cloud Storage bucket requirements

Some Vertex AI tasks, such as importing data, use a Cloud Storage bucket.

For best performance, we recommend that you use the following settings when creating a Cloud Storage bucket to use with Vertex AI:
- Location type: Region.
- Location: The region where you are using Vertex AI; for example, us-central1, europe-west4, or asia-east1.
- Storage class: Standard.
For Vertex AI training jobs, buckets must be regional.
If the bucket is not in the same project that the Vertex AI job is running in, make sure Vertex AI has the correct roles.

Restricting resource locations

Organization policy administrators can restrict the regions available where you can use Vertex AI by creating a resource locations constraint. Read about how a resource locations constraint applies to Vertex AI

What's next

Learn about Google Cloud regions.
Learn about Generative AI on Vertex AI locations.