Merge branch 'main' into release-2025-openai-jan-latest

Author: v-alje

articles/ai-studio/how-to/flow-deploy.md

@@ -9,7 +9,7 @@ ms.custom:
   - build-2024
   - ignite-2024
 ms.topic: how-to
-ms.date: 5/21/2024
+ms.date: 01/27/2025
 ms.reviewer: gmuthukumar
 ms.author: lagayhar
 author: lgayhardt
@@ -37,6 +37,7 @@ To deploy a prompt flow as an online endpoint, you need:
 
 * An Azure subscription. If you don't have one, create a free account before you begin.
 * An Azure AI Foundry project.
+* A **Microsoft.PolicyInsights** resource provider registered in the selected subscription. For more information on registering a resource provide, see [Register resource provider](/azure/azure-resource-manager/management/resource-providers-and-types#register-resource-provider-1).
 
 ## Create an online deployment
 

articles/ai-studio/how-to/model-catalog-overview.md

@@ -78,8 +78,8 @@ The following list contains Serverless API models. For Azure OpenAI models, see
 Model | Managed compute | Serverless API (pay-per-token)
 --|--|--
 AI21 family models | Not available | Jamba-1.5-Mini <br> Jamba-1.5-Large
-Azure DeepSeek | Not available | DeepSeek-R1
 Cohere family models | Not available | Cohere-command-r-plus-08-2024 <br> Cohere-command-r-08-2024 <br> Cohere-command-r-plus <br> Cohere-command-r <br> Cohere-embed-v3-english <br> Cohere-embed-v3-multilingual <br> Cohere-rerank-v3-english <br> Cohere-rerank-v3-multilingual
+DeepSeek models from Microsoft | Not available | DeepSeek-R1
 Gretel | Not available | Gretel-Navigator
 Healthcare AI family Models | MedImageParse<BR>  MedImageInsight<BR>  CxrReportGen<BR>  Virchow<BR>  Virchow2<BR>  Prism<BR>  BiomedCLIP-PubMedBERT<BR>  microsoft-llava-med-v1.5<BR>  m42-health-llama3-med4<BR>  biomistral-biomistral-7b<BR>  microsoft-biogpt-large-pub<BR>  microsoft-biomednlp-pub<BR>  stanford-crfm-biomedlm<BR>  medicalai-clinicalbert<BR>  microsoft-biogpt<BR>  microsoft-biogpt-large<BR>  microsoft-biomednlp-pub<BR> | Not Available
 JAIS | Not available | jais-30b-chat

articles/ai-studio/includes/region-availability-maas.md

@@ -10,13 +10,6 @@ ms.date: 08/05/2024
 ms.custom: include, references_regions
 ---
 
-### Azure DeepSeek models
-
-| Model | Offer Availability Region  | Hub/Project Region for Deployment  | Hub/Project Region for Fine tuning  |
-|---------|---------|---------|---------|
-DeepSeek-R1                       | Not applicable | East US <br> East US 2 <br> North Central US <br> South Central US <br> West US <br> West US 3  | Not available       |
-
-
 ### Cohere models
 
 
@@ -31,6 +24,12 @@ Cohere Rerank v3 - Multilingual   |  [Microsoft Managed countries/regions](/part
 Cohere Embed v3 - English    |  [Microsoft Managed countries/regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar   |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3    | Not available       |
 Cohere Embed v3 -  Multilingual    |  [Microsoft Managed countries/regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar   |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3    | Not available       |
 
+### DeepSeek models from Microsoft
+
+| Model | Offer Availability Region  | Hub/Project Region for Deployment  | Hub/Project Region for Fine tuning  |
+|---------|---------|---------|---------|
+DeepSeek-R1                       | Not applicable | East US <br> East US 2 <br> North Central US <br> South Central US <br> West US <br> West US 3  | Not available       |
+
 
 ### Gretel models
 

articles/machine-learning/how-to-prevent-data-loss-exfiltration.md

@@ -29,7 +29,7 @@ Azure Machine Learning has several inbound and outbound dependencies. Some of th
     * __AzureFrontDoor.frontend outbound__: Azure Front Door is used by the Azure Machine Learning studio UI and AutoML. Instead of allowing outbound to the service tag (AzureFrontDoor.frontend), switch to the following fully qualified domain names (FQDN). Switching to these FQDNs removes unnecessary outbound traffic included in the service tag and allows only what is needed for Azure Machine Learning studio UI and AutoML.
 
         - `ml.azure.com`
-        - `automlresources-prod.azureedge.net`
+        - `automlresources-prod-d0eaehh7g8andvav.b02.azurefd.net`
 
 > [!TIP]
 > The information in this article is primarily about using an Azure Virtual Network. Azure Machine Learning can also use a **managed virtual networks**. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes.