Merge pull request #249557 from aahill/gating-removal

prmerger-automator[bot] · web-flow · commit 953dc6a5c6d3 · 2023-09-01T16:46:57.000Z
removing gating info
diff --git a/articles/ai-services/cognitive-services-container-support.md b/articles/ai-services/cognitive-services-container-support.md
@@ -8,7 +8,7 @@ manager: nitinme
 ms.custom: cog-serv-seo-aug-2020, ignite-fall-2021
 ms.service: cognitive-services
 ms.topic: overview
-ms.date: 07/21/2023
+ms.date: 08/28/2023
 ms.author: aahi
 keywords: on-premises, Docker, container, Kubernetes
 #Customer intent: As a potential customer, I want to know more about how Azure AI services provides and supports Docker containers for each service.
@@ -58,22 +58,19 @@ Azure AI containers provide the following set of Docker containers, each of whic
 
 ### Speech containers
 
-> [!NOTE]
-> To use Speech containers, you will need to complete an [online request form](https://aka.ms/csgate).
-
 | Service |  Container | Description | Availability |
 |--|--|--|--|
 | [Speech Service API][sp-containers-stt] |  **Speech to text** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/speech-to-text/about)) | Transcribes continuous real-time speech into text. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
 | [Speech Service API][sp-containers-cstt] | **Custom Speech to text** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/custom-speech-to-text/about)) | Transcribes continuous real-time speech into text using a custom model. | Generally available <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
 | [Speech Service API][sp-containers-ntts] | **Neural Text to speech** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/neural-text-to-speech/about)) | Converts text to natural-sounding speech using deep neural network technology, allowing for more natural synthesized speech. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
-| [Speech Service API][sp-containers-lid] | **Speech language detection** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/language-detection/about)) | Determines the language of spoken audio. | Gated preview |
+| [Speech Service API][sp-containers-lid] | **Speech language detection** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/language-detection/about)) | Determines the language of spoken audio. | Preview |
 
 ### Vision containers
 
 
 | Service |  Container | Description | Availability |
 |--|--|--|--|
-| [Azure AI Vision][cv-containers] | **Read OCR** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/vision/read/about)) | The Read OCR container allows you to extract printed and handwritten text from images and documents with support for JPEG, PNG, BMP, PDF, and TIFF file formats. For more information, see the [Read API documentation](./computer-vision/overview-ocr.md). | Generally Available. Gated - [request access](https://aka.ms/csgate). <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
+| [Azure AI Vision][cv-containers] | **Read OCR** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/vision/read/about)) | The Read OCR container allows you to extract printed and handwritten text from images and documents with support for JPEG, PNG, BMP, PDF, and TIFF file formats. For more information, see the [Read API documentation](./computer-vision/overview-ocr.md). | Generally Available. <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
 | [Spatial Analysis][spa-containers] | **Spatial analysis** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/vision/spatial-analysis/about)) | Analyzes real-time streaming video to understand spatial relationships between people, their movement, and interactions with objects in physical environments. | Preview |
 
 <!--
diff --git a/articles/ai-services/computer-vision/computer-vision-how-to-install-containers.md b/articles/ai-services/computer-vision/computer-vision-how-to-install-containers.md
@@ -8,16 +8,14 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: computer-vision
 ms.topic: how-to
-ms.date: 03/02/2023
+ms.date: 08/29/2023
 ms.author: pafarley
 ms.custom: seodec18, cog-serv-seo-aug-2020
 keywords: on-premises, OCR, Docker, container
 ---
 
 # Install Azure AI Vision 3.2 GA Read OCR container
 
-[!INCLUDE [container hosting on the Microsoft Container Registry](../containers/includes/gated-container-hosting.md)]
-
 Containers enable you to run the Azure AI Vision APIs in your own environment. Containers are great for specific security and data governance requirements. In this article you'll learn how to download, install, and run the Read (OCR) container.
 
 The Read container allows you to extract printed and handwritten text from images and documents with support for JPEG, PNG, BMP, PDF, and TIFF file formats. For more information, see the [Read API how-to guide](how-to/call-read-api.md).
@@ -51,12 +49,6 @@ You must meet the following prerequisites before using the containers:
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/cognitive-services/) before you begin.
 
-## Request approval to run the container
-
-Fill out and submit the [request form](https://aka.ms/csgate) to request approval to run the container. 
-
-[!INCLUDE [Request access to run the container](../../../includes/cognitive-services-containers-request-access.md)]
-
 [!INCLUDE [Gathering required container parameters](../containers/includes/container-gathering-required-parameters.md)]
 
 ### Host computer requirements
diff --git a/articles/ai-services/containers/includes/gated-container-hosting.md b/articles/ai-services/containers/includes/gated-container-hosting.md
diff --git a/articles/ai-services/document-intelligence/containers/install-run.md b/articles/ai-services/document-intelligence/containers/install-run.md
@@ -51,10 +51,6 @@ In this article you learn how to download, install, and run Document Intelligenc
 
 ::: moniker-end
 
-> [!IMPORTANT]
->
-> * To use Document Intelligence containers, you must submit an online request, and have it approved. For more information, _see_ [Request approval to run container](#request-approval-to-run-container).
-
 ## Prerequisites
 
 To get started, you need an active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/).  If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
@@ -88,12 +84,6 @@ You also need an **Azure AI Vision API resource to process business cards, ID do
   * **{COMPUTER_VISION_ENDPOINT_URI}**: the endpoint for the resource used to track billing information.
 :::moniker-end
 
-## Request approval to run container
-
-Complete and submit the [**Azure AI services application for Gated Services**](https://aka.ms/csgate) to request access to the container.
-
-[!INCLUDE [Request access to public preview](../../../../includes/cognitive-services-containers-request-access.md)]
-
 ## Host computer requirements
 
 The host is a x64-based computer that runs the Docker container. It can be a computer on your premises or a Docker hosting service in Azure, such as:
diff --git a/articles/ai-services/speech-service/speech-container-cstt.md b/articles/ai-services/speech-service/speech-container-cstt.md
@@ -9,7 +9,7 @@ ms.service: cognitive-services
 ms.subservice: speech-service
 ms.custom: devx-track-extended-java, devx-track-go, devx-track-js, devx-track-python
 ms.topic: how-to
-ms.date: 04/18/2023
+ms.date: 08/29/2023
 ms.author: eur
 zone_pivot_groups: programming-languages-speech-sdk-cli
 keywords: on-premises, Docker, container
@@ -19,9 +19,6 @@ keywords: on-premises, Docker, container
 
 The Custom speech to text container transcribes real-time speech or batch audio recordings with intermediate results. You can use a custom model that you created in the [Custom Speech portal](https://speech.microsoft.com/customspeech). In this article, you'll learn how to download, install, and run a Custom speech to text container.
 
-> [!NOTE]
-> You must [request and get approval](speech-container-overview.md#request-approval-to-run-the-container) to use a Speech container. 
-
 For more information about prerequisites, validating that a container is running, running multiple containers on the same host, and running disconnected containers, see [Install and run Speech containers with Docker](speech-container-howto.md).
 
 ## Container images
diff --git a/articles/ai-services/speech-service/speech-container-howto.md b/articles/ai-services/speech-service/speech-container-howto.md
@@ -23,8 +23,7 @@ By using containers, you can use a subset of the Speech service features in your
 ## Prerequisites
 
 You must meet the following prerequisites before you use Speech service containers. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/cognitive-services/) before you begin. You need:
-
-* You must [request and get approval](speech-container-overview.md#request-approval-to-run-the-container) to use a Speech container.
+    
 * [Docker](https://docs.docker.com/) installed on a host computer. Docker must be configured to allow the containers to connect with and send billing data to Azure.
     * On Windows, Docker must also be configured to support Linux containers.
     * You should have a basic understanding of [Docker concepts](https://docs.docker.com/get-started/overview/). 
diff --git a/articles/ai-services/speech-service/speech-container-lid.md b/articles/ai-services/speech-service/speech-container-lid.md
@@ -9,7 +9,7 @@ ms.service: cognitive-services
 ms.subservice: speech-service
 ms.custom: devx-track-extended-java, devx-track-go, devx-track-js, devx-track-python
 ms.topic: how-to
-ms.date: 04/18/2023
+ms.date: 08/28/2023
 ms.author: eur
 zone_pivot_groups: programming-languages-speech-sdk-cli
 keywords: on-premises, Docker, container
@@ -20,8 +20,6 @@ keywords: on-premises, Docker, container
 The Speech language identification container detects the language spoken in audio files. You can get real-time speech or batch audio recordings with intermediate results. In this article, you'll learn how to download, install, and run a language identification container.
 
 > [!NOTE]
-> You must [request and get approval](speech-container-overview.md#request-approval-to-run-the-container) to use a Speech container.
->
 > The Speech language identification container is available in public preview. Containers in preview are still under development and don't meet Microsoft's stability and support requirements.
 
 For more information about prerequisites, validating that a container is running, running multiple containers on the same host, and running disconnected containers, see [Install and run Speech containers with Docker](speech-container-howto.md).
diff --git a/articles/ai-services/speech-service/speech-container-ntts.md b/articles/ai-services/speech-service/speech-container-ntts.md
@@ -9,7 +9,7 @@ ms.service: cognitive-services
 ms.subservice: speech-service
 ms.custom: devx-track-extended-java, devx-track-go, devx-track-js, devx-track-python
 ms.topic: how-to
-ms.date: 04/18/2023
+ms.date: 08/28/2023
 ms.author: eur
 zone_pivot_groups: programming-languages-speech-sdk-cli
 keywords: on-premises, Docker, container
@@ -19,9 +19,6 @@ keywords: on-premises, Docker, container
 
 The neural text to speech container converts text to natural-sounding speech by using deep neural network technology, which allows for more natural synthesized speech.. In this article, you'll learn how to download, install, and run a Text to speech container.
 
-> [!NOTE]
-> You must [request and get approval](speech-container-overview.md#request-approval-to-run-the-container) to use a Speech container. 
-
 For more information about prerequisites, validating that a container is running, running multiple containers on the same host, and running disconnected containers, see [Install and run Speech containers with Docker](speech-container-howto.md).
 
 ## Container images
diff --git a/articles/ai-services/speech-service/speech-container-overview.md b/articles/ai-services/speech-service/speech-container-overview.md
@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: speech-service
 ms.topic: how-to
-ms.date: 04/18/2023
+ms.date: 08/29/2023
 ms.author: eur
 keywords: on-premises, Docker, container
 ---
@@ -17,9 +17,6 @@ keywords: on-premises, Docker, container
 
 By using containers, you can use a subset of the Speech service features in your own environment. With Speech containers, you can build a speech application architecture that's optimized for both robust cloud capabilities and edge locality. Containers are great for specific security and data governance requirements. 
 
-> [!NOTE]
-> You must [request and get approval](#request-approval-to-run-the-container) to use a Speech container. 
-
 ## Available Speech containers
 
 The following table lists the Speech containers available in the Microsoft Container Registry (MCR). The table also lists the features supported by each container and the latest version of the container. 
@@ -34,11 +31,9 @@ The following table lists the Speech containers available in the Microsoft Conta
 <sup>1</sup> The container is available in public preview. Containers in preview are still under development and don't meet Microsoft's stability and support requirements.
 <sup>2</sup> Not available as a disconnected container.
 
-## Request approval to run the container
+## Request approval to run containers disconnected from the internet
 
-To use the Speech containers, you must submit one of the following request forms and wait for approval:
--	[Connected containers request form](https://aka.ms/csgate) if you want to run containers regularly, in environments that are only connected to the internet.
--	[Disconnected Container request form](https://aka.ms/csdisconnectedcontainers) if you want to run containers in environments that can be disconnected from the internet. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure AI services documentation.
+To use the Speech containers in environments that are disconnected from the internet, you must submit a [request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure AI services documentation.
 
 The form requests information about you, your company, and the user scenario for which you'll use the container. 
 
@@ -48,11 +43,6 @@ The form requests information about you, your company, and the user scenario for
 
 After you submit the form, the Azure AI services team reviews it and emails you with a decision within 10 business days.
 
-> [!IMPORTANT]
-> To use the Speech containers, your request must be approved. 
-
-While you're waiting for approval, you can [setup the prerequisites](speech-container-howto.md#prerequisites) on your host computer. You can also download the container from the Microsoft Container Registry (MCR). You can run the container after your request is approved.
-
 ## Billing
 
 The Speech containers send billing information to Azure by using a Speech resource on your Azure account. 
diff --git a/articles/ai-services/speech-service/speech-container-stt.md b/articles/ai-services/speech-service/speech-container-stt.md
@@ -9,7 +9,7 @@ ms.service: cognitive-services
 ms.subservice: speech-service
 ms.custom: devx-track-extended-java, devx-track-go, devx-track-js, devx-track-python
 ms.topic: how-to
-ms.date: 04/18/2023
+ms.date: 08/28/2023
 ms.author: eur
 zone_pivot_groups: programming-languages-speech-sdk-cli
 keywords: on-premises, Docker, container
@@ -19,9 +19,6 @@ keywords: on-premises, Docker, container
 
 The Speech to text container transcribes real-time speech or batch audio recordings with intermediate results. In this article, you'll learn how to download, install, and run a Speech to text container.
 
-> [!NOTE]
-> You must [request and get approval](speech-container-overview.md#request-approval-to-run-the-container) to use a Speech container. 
-
 For more information about prerequisites, validating that a container is running, running multiple containers on the same host, and running disconnected containers, see [Install and run Speech containers with Docker](speech-container-howto.md).
 
 ## Container images
