title | titleSuffix | description | services | ms.service | ms.subservice | ms.topic | ms.reviewer | ms.author | author | ms.date | ms.custom |
---|---|---|---|---|---|---|---|---|---|---|---|
Feature availability across cloud regions |
Azure Machine Learning |
This article lists feature availability differences between public cloud and the Azure Government, Azure Germany, and Azure China 21Vianet regions. |
machine-learning |
machine-learning |
core |
reference |
larryfr |
andzha |
Anurzeuii |
05/09/2022 |
references_regions, event-tier1-build-2022 |
Learn what Azure Machine Learning features are available in the Azure Government, Azure Germany, and Azure China 21Vianet regions.
In the list of global Azure regions, there are several regions that serve specific markets in addition to the public cloud regions. For example, the Azure Government and the Azure China 21Vianet regions. Azure Machine Learning is deployed into the following regions, in addition to public cloud regions:
- Azure Government regions US-Arizona and US-Virginia.
- Azure China 21Vianet region China-East-2.
Azure Machine Learning is still in devlopment in Airgap Regions.
The information in the rest of this document provides information on what features of Azure Machine Learning are available in these regions, along with region-specific information on using these features.
Feature | Public cloud status | US-Virginia | US-Arizona |
---|---|---|---|
Automated machine learning | |||
Create and run experiments in notebooks | GA | YES | YES |
Create and run experiments in studio web experience | Public Preview | YES | YES |
Industry-leading forecasting capabilities | GA | YES | YES |
Support for deep learning and other advanced learners | GA | YES | YES |
Large data support (up to 100 GB) | Public Preview | YES | YES |
Azure Databricks integration | GA | NO | NO |
SQL, Azure Cosmos DB, and HDInsight integrations | GA | YES | YES |
Machine Learning pipelines | |||
Create, run, and publish pipelines using the Azure ML SDK | GA | YES | YES |
Create pipeline endpoints using the Azure ML SDK | GA | YES | YES |
Create, edit, and delete scheduled runs of pipelines using the Azure ML SDK | GA | YES* | YES* |
View pipeline run details in studio | GA | YES | YES |
Create, run, visualize, and publish pipelines in Azure ML designer | GA | YES | YES |
Azure Databricks Integration with ML Pipeline | GA | NO | NO |
Create pipeline endpoints in Azure ML designer | GA | YES | YES |
Integrated notebooks | |||
Workspace notebook and file sharing | GA | YES | YES |
R and Python support | GA | YES | YES |
Virtual Network support | GA | YES | YES |
Compute instance | |||
Managed compute Instances for integrated Notebooks | GA | YES | YES |
Jupyter, JupyterLab Integration | GA | YES | YES |
Virtual Network (VNet) support | GA | YES | YES |
SDK support | |||
Python SDK support | GA | YES | YES |
Security | |||
Virtual Network (VNet) support for training | GA | YES | YES |
Virtual Network (VNet) support for inference | GA | YES | YES |
Scoring endpoint authentication | Public Preview | YES | YES |
Workplace private endpoint | GA | GA | GA |
ACI behind VNet | Public Preview | NO | NO |
ACR behind VNet | GA | YES | YES |
Private IP of AKS cluster | Public Preview | NO | NO |
Network isolation for managed online endpoints | Public Preview | NO | NO |
Compute | |||
quota management across workspaces | GA | YES | YES |
Data for machine learning | |||
Create, view, or edit datasets and datastores from the SDK | GA | YES | YES |
Create, view, or edit datasets and datastores from the UI | GA | YES | YES |
View, edit, or delete dataset drift monitors from the SDK | Public Preview | YES | YES |
View, edit, or delete dataset drift monitors from the UI | Public Preview | YES | YES |
Machine learning lifecycle | |||
Model profiling | GA | YES | PARTIAL |
The Azure ML CLI 1.0 | GA | YES | YES |
FPGA-based Hardware Accelerated Models | GA | NO | NO |
Visual Studio Code integration | Public Preview | NO | NO |
Event Grid integration | Public Preview | NO | NO |
Integrate Azure Stream Analytics with Azure Machine Learning | Public Preview | NO | NO |
Labeling images and text | |||
Labeling Project Management Portal | GA | YES | YES |
Labeler Portal | GA | YES | YES |
Labeling using private workforce | GA | YES | YES |
ML assisted labeling (Image classification and object detection) | Public Preview | YES | YES |
Responsible ML | |||
Explainability in UI | Public Preview | NO | NO |
Differential privacy SmartNoise toolkit | OSS | NO | NO |
Custom tags in Azure Machine Learning to implement datasheets | GA | NO | NO |
Fairness AzureML Integration | Public Preview | NO | NO |
Interpretability SDK | GA | YES | YES |
Training | |||
Experimentation log streaming | GA | YES | YES |
Reinforcement Learning | Public Preview | NO | NO |
Experimentation UI | Public Preview | YES | YES |
.NET integration ML.NET 1.0 | GA | YES | YES |
Inference | |||
Managed online endpoints | GA | YES | YES |
Batch inferencing | GA | YES | YES |
Azure Stack Edge with FPGA | Public Preview | NO | NO |
Other | |||
Open Datasets | Public Preview | YES | YES |
Custom Cognitive Search | Public Preview | YES | YES |
Scenario | US-Virginia | US-Arizona | Limitations |
---|---|---|---|
General security setup | |||
Disable/control internet access (inbound and outbound) and specific VNet | PARTIAL | PARTIAL | |
Placement for all associated resources/services | YES | YES | |
Encryption at-rest and in-transit. | YES | YES | |
Root and SSH access to compute resources. | YES | YES | |
Maintain the security of deployed systems (instances, endpoints, etc.), including endpoint protection, patching, and logging | PARTIAL | PARTIAL | ACI behind VNet currently not available |
Control (disable/limit/restrict) the use of ACI/AKS integration | PARTIAL | PARTIAL | ACI behind VNet currently not available |
Azure role-based access control (Azure RBAC) - Custom Role Creations | YES | YES | |
Control access to ACR images used by ML Service (Azure provided/maintained versus custom) | PARTIAL | PARTIAL | |
General Machine Learning Service Usage | |||
Ability to have a development environment to build a model, train that model, host it as an endpoint, and consume it via a webapp | YES | YES | |
Ability to pull data from ADLS (Data Lake Storage) | YES | YES | |
Ability to pull data from Azure Blob Storage | YES | YES |
-
For Azure Machine Learning compute instances, the ability to refresh a token lasting more than 24 hours is not available in Azure Government.
-
Model Profiling does not support 4 CPUs in the US-Arizona region.
-
Sample notebooks may not work in Azure Government if it needs access to public data.
-
IP addresses: The CLI command used in the required public internet access instructions does not return IP ranges. Use the Azure IP ranges and service tags for Azure Government instead.
-
For scheduled pipelines, we also provide a blob-based trigger mechanism. This mechanism is not supported for CMK workspaces. For enabling a blob-based trigger for CMK workspaces, you have to do extra setup. For more information, see Trigger a run of a machine learning pipeline from a Logic App.
-
Firewalls: When using an Azure Government region, add the following hosts to your firewall setting:
- For Arizona use:
usgovarizona.api.ml.azure.us
- For Virginia use:
usgovvirginia.api.ml.azure.us
- For both:
graph.windows.net
- For Arizona use:
Feature | Public cloud status | CH-East-2 | CH-North-3 |
---|---|---|---|
Automated machine learning | |||
Create and run experiments in notebooks | GA | YES | N/A |
Create and run experiments in studio web experience | Preview | YES | N/A |
Industry-leading forecasting capabilities | GA | YES | N/A |
Support for deep learning and other advanced learners | GA | YES | N/A |
Large data support (up to 100 GB) | Preview | YES | N/A |
Azure Databricks Integration | GA | YES | N/A |
SQL, Azure Cosmos DB, and HDInsight integrations | GA | YES | N/A |
Machine Learning pipelines | |||
Create, run, and publish pipelines using the Azure ML SDK | GA | YES | N/A |
Create pipeline endpoints using the Azure ML SDK | GA | YES | N/A |
Create, edit, and delete scheduled runs of pipelines using the Azure ML SDK | GA | YES | N/A |
View pipeline run details in studio | GA | YES | N/A |
Create, run, visualize, and publish pipelines in Azure ML designer | GA | YES | N/A |
Azure Databricks Integration with ML Pipeline | GA | YES | N/A |
Create pipeline endpoints in Azure ML designer | GA | YES | N/A |
Integrated notebooks | |||
Workspace notebook and file sharing | GA | YES | N/A |
R and Python support | GA | YES | N/A |
Virtual Network support | GA | YES | N/A |
Compute instance | |||
Managed compute Instances for integrated Notebooks | GA | YES | N/A |
Jupyter, JupyterLab Integration | GA | YES | N/A |
Virtual Network (VNet) support | GA | YES | N/A |
SDK support | |||
Python SDK support | GA | YES | N/A |
Security | |||
Virtual Network (VNet) support for training | GA | YES | N/A |
Virtual Network (VNet) support for inference | GA | YES | N/A |
Scoring endpoint authentication | Preview | YES | N/A |
Workplace Private Endpoint | GA | YES | N/A |
ACI behind VNet | Preview | NO | N/A |
ACR behind VNet | GA | YES | N/A |
Private IP of AKS cluster | Preview | NO | N/A |
Network isolation for managed online endpoints | Preview | NO | N/A |
Compute | |||
quota management across workspaces | GA | YES | N/A |
Data for machine learning | |||
Create, view, or edit datasets and datastores from the SDK | GA | YES | N/A |
Create, view, or edit datasets and datastores from the UI | GA | YES | N/A |
View, edit, or delete dataset drift monitors from the SDK | Preview | YES | N/A |
View, edit, or delete dataset drift monitors from the UI | Preview | YES | N/A |
Machine learning lifecycle | |||
Model profiling | GA | YES | N/A |
The Azure DevOps extension for Machine Learning & the Azure ML CLI | GA | YES | N/A |
FPGA-based Hardware Accelerated Models | Deprecating | Deprecating | N/A |
Visual Studio Code integration | Preview | NO | N/A |
Event Grid integration | Preview | YES | N/A |
Integrate Azure Stream Analytics with Azure Machine Learning | Preview | NO | N/A |
Labeling | |||
Labeling Project Management Portal | GA | YES | N/A |
Labeler Portal | GA | YES | N/A |
Labeling using private workforce | GA | YES | N/A |
ML assisted labeling (Image classification and object detection) | Preview | YES | N/A |
Responsible AI | |||
Explainability in UI | Preview | NO | N/A |
Differential privacy SmartNoise toolkit | OSS | NO | N/A |
custom tags in Azure Machine Learning to implement datasheets | GA | YES | N/A |
Fairness AzureML Integration | Preview | NO | N/A |
Interpretability SDK | GA | YES | N/A |
Training | |||
Experimentation log streaming | GA | YES | N/A |
Reinforcement Learning | Deprecating | Deprecating | N/A |
Experimentation UI | GA | YES | N/A |
.NET integration ML.NET 1.0 | GA | YES | N/A |
Inference | |||
Managed online endpoints | GA | YES | N/A |
Batch inferencing | GA | YES | N/A |
Azure Stack Edge with FPGA | Deprecating | Deprecating | N/A |
Other | |||
Open Datasets | Preview | YES | N/A |
Custom Cognitive Search | Preview | YES | N/A |
-
Azure China has limited VM SKU, especially for GPU SKU. It only has NCv3 family (V100).
-
REST API Endpoints are different from global Azure. Use the following table to find the REST API endpoint for Azure China regions:
REST endpoint Global Azure China-Government Management plane https://management.azure.com/
https://management.chinacloudapi.cn/
Data plane https://{location}.experiments.azureml.net
https://{location}.experiments.ml.azure.cn
Azure Active Directory https://login.microsoftonline.com
https://login.chinacloudapi.cn
-
Sample notebook may not work, if it needs access to public data.
-
IP address ranges: The CLI command used in the required public internet access instructions does not return IP ranges. Use the Azure IP ranges and service tags for Azure China instead.
-
Azure Machine Learning compute instances preview is not supported in a workspace where Private Endpoint is enabled for now, but CI will be supported in the next deployment for the service expansion to all AML regions.
-
Searching for assets in the web UI with Chinese characters will not work correctly.
To learn more about the regions that Azure Machine learning is available in, see Products by region.