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articles/machine-learning/reference-machine-learning-cloud-parity.md

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@@ -27,15 +27,15 @@ In the list of global Azure regions, there are several regions that serve specif
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Azure Machine Learning is still in development in air-gap Regions.
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For the Italy North Region, Application Insights is not available until 12/12/2023 without allow list. This will effect the following service until then - Job schedule - Feature store - Model monitor - Data import
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For the Italy North Region, Application Insights isn't available until 12/12/2023 without allow list. This will effect the following service until then - Job schedule - Feature store - Model monitor - Data import
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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.
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## Azure Government
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### Model Catalog in USGOV virginia and Arizonia
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| Model Name | MaaP Inference | Batch Endabled | MaaS (serverless Compute Inferencing)| MaaS (Finetunning) |
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### Model Catalog in USGOV Virginia and Arizona
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| Model Name | MaaP Inference | Batch Enabled | MaaS (serverless Compute Inferencing)| MaaS (Fine-tuning) |
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|----------------------------------------------------------------------------|:----------------------:|:--------------------:|:-------------:|:-------------:|
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|ALLaM-2-7b-instruct |maap-inference ||||
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|Aurora |maap-inference ||||
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|Virchow2| maap-inference| batch-enabled |||
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### AOAI Models in Model Catalog in USGOV virginia and Arizonia
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| Model Name | AOAI-Deployment | MaaP Inference | Batch Endabled | MaaS (serverless Compute Inferencing)|
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### Azure OpenAI Models in Model Catalog in USGOV Virginia and Arizona
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| Model Name | Azure OpenAI Deployment | MaaP Inference | Batch Enabled | MaaS (serverless Compute Inferencing)|
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|----------------------------------------------------------------------------|:----------------------:|:--------------------:|:-------------:|:-------------:|
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|gpt-35-turbo| aoai-deployment
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|gpt-4 |aoai-deployment
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### AzureML Features
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### Azure Machine Learning Features
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| Feature | Public cloud status | US-Virginia | US-Arizona|
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|----------------------------------------------------------------------------|:----------------------:|:--------------------:|:-------------:|
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### Other Azure Government limitations
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* For Azure Machine Learning compute instances, the ability to refresh a token lasting more than 24 hours is not available in Azure Government.
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* Model Profiling does not support 4 CPUs in the US-Arizona region.
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* For Azure Machine Learning compute instances, the ability to refresh a token lasting more than 24 hours isn't available in Azure Government.
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* Model Profiling doesn't support 4 CPUs in the US-Arizona region.
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* Sample notebooks may not work in Azure Government if it needs access to public data.
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* IP addresses: The CLI command used in the [required public internet access](how-to-secure-training-vnet.md#required-public-internet-access-to-train-models) instructions does not return IP ranges. Use the [Azure IP ranges and service tags for Azure Government](https://www.microsoft.com/download/details.aspx?id=57063) instead.
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* 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 (SDK/CLI v1)](v1/how-to-trigger-published-pipeline.md).
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* IP addresses: The CLI command used in the [required public internet access](how-to-secure-training-vnet.md#required-public-internet-access-to-train-models) instructions doesn't return IP ranges. Use the [Azure IP ranges and service tags for Azure Government](https://www.microsoft.com/download/details.aspx?id=57063) instead.
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* For scheduled pipelines, we also provide a blob-based trigger mechanism. This mechanism isn't 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 (SDK/CLI v1)](v1/how-to-trigger-published-pipeline.md).
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* Firewalls: When using an Azure Government region, add the following hosts to your firewall setting:
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* For Arizona use: `usgovarizona.api.ml.azure.us`
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| Microsoft Entra ID | `https://login.microsoftonline.com` | `https://login.chinacloudapi.cn` |
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* Sample notebook may not work, if it needs access to public data.
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* IP address ranges: The CLI command used in the [required public internet access](how-to-secure-training-vnet.md#required-public-internet-access-to-train-models) instructions does not return IP ranges. Use the [Azure IP ranges and service tags for Microsoft Azure operated by 21Vianet](https://www.microsoft.com//download/details.aspx?id=57062) instead.
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* 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 Azure Machine Learning regions.
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* Searching for assets in the web UI with Chinese characters will not work correctly.
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* IP address ranges: The CLI command used in the [required public internet access](how-to-secure-training-vnet.md#required-public-internet-access-to-train-models) instructions doesn't return IP ranges. Use the [Azure IP ranges and service tags for Microsoft Azure operated by 21Vianet](https://www.microsoft.com//download/details.aspx?id=57062) instead.
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* Azure Machine Learning compute instances preview isn't 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 Azure Machine Learning regions.
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* Searching for assets in the web UI with Chinese characters won't work correctly.
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## Next steps
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