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Auto Publish – main to live - 2025-08-21 05:00 UTC
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.openpublishing.redirection.json

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"redirect_document_id": false
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},
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{
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"source_path": "articles/reliability/availability-zones-migration-overview.md",
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"redirect_url": "/azure/reliability/availability-zones-enable-zone-resiliency",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/app-service/sre-agent-overview.md",
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"redirect_url": "/azure/sre-agent/overview",
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"redirect_document_id": false

articles/azure-functions/flex-consumption-plan.md

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+ **Proxies**: Functions Proxies aren't supported. Consider integrating your function apps with Azure API Management.
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+ **Scale**: The lowest maximum scale is currently `40`. The highest currently supported value is `1000`.
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+ **Managed dependencies**: [Managed dependencies in PowerShell](functions-reference-powershell.md#managed-dependencies-feature) aren't supported by Flex Consumption. You must instead [upload modules with app content](functions-reference-powershell.md#including-modules-in-app-content).
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+ **Certificates**: Loading certificates with the WEBSITE_LOAD_CERTIFICATES app setting, managed certificates, app service certificates, and other platform certificate-based features are currently not supported.
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+ **Certificates**: Loading certificates with the WEBSITE_LOAD_CERTIFICATES app setting, managed certificates, app service certificates, and other platform certificate-based features like endToEndEncryptionEnabled are currently not supported.
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+ **Key Vault and App Configuration References**: You can't currently use [Azure Key Vault](../app-service/app-service-key-vault-references.md) or [Azure App Configuration](../app-service/app-service-configuration-references.md) references in your Flex Consumption plan app settings when these services are network access restricted. This limitation applies even when the function app has Virtual Network integration enabled. If you must use restricted Key Vault or App Configuration instances, you must use client SDKs to manually retrieve values from references in these services. Functions binding extensions also can't access these references, which means you must also use Azure client SDKs for accessing remote service data from your function code.
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+ **Timezones**: `WEBSITE_TIME_ZONE` and `TZ` app settings aren't currently supported when running on Flex Consumption plan.
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articles/container-apps/gpu-serverless-overview.md

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## Request serverless GPU quota
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Access to this feature is only available after you have serverless GPU quota. You can submit your GPU quota request via a [customer support case](/azure/azure-portal/supportability/how-to-create-azure-support-request). When opening a support case for a GPU quota request, select issue type "Technical."
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> [!NOTE]
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> Customers with enterprise agreements and pay-as-you-go customers have A100 and T4 quota enabled by default.
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Access to this feature is only available after you have serverless GPU quota. You can submit your GPU quota request via a [customer support case](/azure/azure-portal/supportability/how-to-create-azure-support-request). When opening a support case for a GPU quota request, please select the following:
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1. In the **Problem description** tab, select the following values:
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| Field | Value |
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|--|--|
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| Issue type | Service and subscription limits (quota) |
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| Subscription | Your subscription |
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| Quota type | Container Apps |
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1. In the **Additional details** tab, select **Request details**.
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1. For **Quota type**, select either **Managed Environment Consumption NCA100 Gpus** or **Managed Environment Consumption T4 Gpus**.
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1. Complete the remaining required fields to submit your request.
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## Supported regions
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Serverless GPUs are available in the following regions:
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1. Download the github template for the model image from the [Azure Container Apps repo](https://github.com/microsoft/azure-container-apps/tree/main/templates/azml-app).
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1. Modify the score.py file to match your model type. The scoring script (named *score.py*) defines how you interact with the model. The following example shows [how to use a custom score.py file](/azure/machine-learning/how-to-deploy-online-endpoints?view=azureml-api-2&tabs=cli).
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1. Modify the score.py file to match your model type. The scoring script (named *score.py*) defines how you interact with the model. The following example shows [how to use a custom score.py file](/azure/machine-learning/how-to-deploy-online-endpoints).
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1. Build the image and deploy it to a container registry.
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articles/iot-edge/about-iot-edge.md

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title: What is Azure IoT Edge
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description: Learn how Azure IoT Edge enables you to deploy, run, and monitor containerized Linux workloads at the edge for better business insights and offline decision-making.
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author: PatAltimore
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author: sethmanheim
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ms.author: sethm
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ms.service: azure-iot-edge
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services: iot-edge
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ms.topic: overview
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ms.date: 03/20/2025
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ms.author: patricka
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- mvc, linux-related-content
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- ai-gen-docs-bap

articles/iot-edge/configure-connect-verify-gpu.md

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title: Configure and connect an IoT Edge module with a GPU
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description: Configure your environment to connect and verify your GPU to process modules from your IoT Edge device.
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author: sethmanheim
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articles/iot-edge/configure-device.md

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title: Configure Azure IoT Edge device settings
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description: This article shows you how to configure Azure IoT Edge device settings and options using the config.toml file.
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articles/iot-edge/debug-module-vs-code.md

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title: Debug Azure IoT Edge modules using Visual Studio Code
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description: Debug Azure IoT Edge modules in Visual Studio Code with step-by-step guidance for multiple programming languages and device architectures.
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articles/iot-edge/deploy-confidential-applications.md

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title: Confidential applications as Azure IoT Edge modules
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description: Use the Open Enclave SDK and API to write confidential applications and deploy them as IoT Edge modules for confidential computing
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# Confidential computing at the edge

articles/iot-edge/development-environment.md

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title: Azure IoT Edge development environment
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description: Learn about the supported systems and first-party development tools that help you create IoT Edge modules
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articles/iot-edge/gpu-acceleration.md

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title: GPU acceleration for Azure IoT Edge for Linux on Windows
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description: Learn about how to configure your Azure IoT Edge for Linux on Windows virtual machines to use host device GPUs.
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ms.author: sethm
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