Merge pull request #276657 from PatAltimore/patricka-freshness

IoT Edge freshness

Author: prmerger-automator[bot]

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

@@ -1,10 +1,10 @@
 ---
-title: Configure, connect, and verify an IoT Edge module with a GPU
+title: Configure and connect an IoT Edge module with a GPU
 description: Configure your environment to connect and verify your GPU to process modules from your IoT Edge device.
 author: PatAltimore
 
 ms.author: patricka
-ms.date: 9/22/2022
+ms.date: 05/29/2024
 ms.topic: tutorial
 ms.service: iot-edge
 services: iot-edge
@@ -39,7 +39,7 @@ We'll use the Azure portal, the Azure Cloud Shell, and your VM's command line to
 
 ## Create a GPU-optimized virtual machine
 
-To create a GPU-optimized virtual machine (VM), choosing the right size is important. Not all VM sizes will accommodate GPU processing. In addition, there are different VM sizes for different workloads. For more information, see [GPU optimized virtual machine sizes](../virtual-machines/sizes-gpu.md) or try the [Virtual machines selector](https://azure.microsoft.com/pricing/vm-selector/).
+To create a GPU-optimized virtual machine (VM), choosing the right size is important. Not all VM sizes accommodate GPU processing. In addition, there are different VM sizes for different workloads. For more information, see [GPU optimized virtual machine sizes](../virtual-machines/sizes-gpu.md) or try the [Virtual machines selector](https://azure.microsoft.com/pricing/vm-selector/).
 
 Let's create an IoT Edge VM with the [Azure Resource Manager (ARM)](../azure-resource-manager/management/overview.md) template in GitHub, then configure it to be GPU-optimized.
 

articles/iot-edge/deploy-modbus-gateway.md

@@ -1,12 +1,12 @@
 ---
-title: Translate modbus protocols with gateways - Azure IoT Edge | Microsoft Docs
+title: Translate modbus protocols with gateways - Azure IoT Edge
 description: Allow devices that use Modbus TCP to communicate with Azure IoT Hub by creating an IoT Edge gateway device
 author: PatAltimore
 
 ms.service: iot-edge
 services: iot-edge
 ms.topic: conceptual
-ms.date: 09/22/2022
+ms.date: 05/29/2024
 ms.author: patricka
 ---
 
@@ -46,7 +46,7 @@ This section walks through deploying Microsoft's sample Modbus module to your Io
 
 4. In the **IoT Edge Modules** section, add the Modbus module:
 
-   1. Click the **Add** dropdown and select **Marketplace Module**.
+   1. Select the **Add** dropdown and select **Marketplace Module**.
    2. Search for `Modbus` and select the **Modbus TCP Module** by Microsoft.
    3. The module is automatically configured for your IoT Hub and appears in the list of IoT Edge Modules. The Routes are also automatically configured. Select **Review + create**.
    4. Review the deployment manifest and select **Create**.

articles/iot-edge/gpu-acceleration.md

@@ -1,9 +1,9 @@
 ---
-title: GPU acceleration for Azure IoT Edge for Linux on Windows | Microsoft Docs
+title: GPU acceleration for Azure IoT Edge for Linux on Windows
 description: Learn about how to configure your Azure IoT Edge for Linux on Windows virtual machines to use host device GPUs.
 author: PatAltimore
 ms.author: patricka
-ms.date: 6/7/2022
+ms.date: 05/29/2024
 ms.topic: conceptual
 ms.service: iot-edge
 ms.custom: linux-related-content
@@ -118,7 +118,7 @@ Visit our [EFLOW Samples Page](https://github.com/Azure/iotedge-eflow/tree/main/
 
 ### Learn More from our Partners
 Several GPU vendors have provided user guides on getting the most of their hardware and software with EFLOW.
-* Learn how to run Intel OpenVINO™ applications on EFLOW by following [Intel's guide on iGPU with Azure IoT Edge for Linux on Windows (EFLOW) & OpenVINO™ Toolkit](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Witness-the-power-of-Intel-iGPU-with-Azure-IoT-Edge-for-Linux-on/post/1382405) and [reference implementations](https://www.intel.com/content/www/us/en/developer/articles/technical/deploy-reference-implementation-to-azure-iot-eflow.html).
+* Learn how to run Intel OpenVINO™ applications on EFLOW by following [Intel's guide on iGPU with Azure IoT Edge for Linux on Windows (EFLOW) & OpenVINO™ Toolkit](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Witness-the-power-of-Intel-iGPU-with-Azure-IoT-Edge-for-Linux-on/post/1382405) and [reference implementations](https://www.intel.com/content/www/us/en/developer/articles/technical/deploy-reference-implementation-to-azure-iot-eflow.html).
 * Get started with deploying CUDA-accelerated applications on EFLOW by following [NVIDIA's EFLOW User Guide for GeForce/Quadro/RTX GPUs](https://docs.nvidia.com/cuda/eflow-users-guide/index.html). 
 
 > [!NOTE]

articles/iot-edge/how-to-access-dtpm.md

@@ -1,10 +1,9 @@
 ---
-title: dTPM access for Azure IoT Edge for Linux on Windows | Microsoft Docs
+title: dTPM access for Azure IoT Edge for Linux on Windows
 description: Learn about how to configure access the dTPM on your  Azure IoT Edge for Linux on Windows virtual machine.
-author: fcabrera
-manager: patricka
+author: PatAltimore
 ms.author: patricka
-ms.date: 8/1/2022
+ms.date: 05/29/2024
 ms.topic: conceptual
 ms.service: iot-edge
 ms.custom: linux-related-content
@@ -88,13 +87,13 @@ Once the executable file and dependency files are created, you need to copy the
     ```
 
 1. Create a *tar* file with all the files created in previous steps.
-    For example, if you have all your files under the folder _TPM_, you can use the following command to create the _TPM.tar_ file.
+    For example, if you have all your files under the folder *TPM*, you can use the following command to create the *TPM.tar* file.
     ```powershell
      tar -cvzf TPM.tar ".\TPM"
     ```
 
 1. Once the *TPM.tar* file is created successfully, use the `Copy-EflowVmFile` cmdlet to copy the *tar* file created to the EFLOW VM.
-    For example, if you have the _tar_ file name _TPM.tar_ in the directory `C:\Users\User`. you can use the following command to copy to the EFLOW VM.
+    For example, if you have the *tar* file name *TPM.tar* in the directory `C:\Users\User`. you can use the following command to copy to the EFLOW VM.
     ```powershell
     Copy-EflowVmFile -fromFile "C:\Users\User\TPM.tar" -toFile "/home/iotedge-user/" -pushFile
     ```
@@ -106,7 +105,7 @@ Once the executable file and dependency files are created, you need to copy the
 
 1. Change directory to the folder where you copied the *tar* file and check the file is available. If you used the example above, when connected to the EFLOW VM, you'll already be at the *iotedge-user* root folder. Run the `ls` command to list the files and folders.
 
-1. Run the following command to extract all the content from the _tar_ file.
+1. Run the following command to extract all the content from the *tar* file.
     ```bash
     tar -xvzf TPM.tar
     ```

articles/iot-edge/how-to-authenticate-downstream-device.md

@@ -1,10 +1,10 @@
 ---
-title: Authenticate downstream devices - Azure IoT Edge | Microsoft Docs
+title: Authenticate downstream devices - Azure IoT Edge
 description: How to authenticate downstream devices to IoT Hub, and route their connection through Azure IoT Edge gateway devices. 
 author: PatAltimore
 
 ms.author: patricka
-ms.date: 04/29/2022
+ms.date: 05/29/2024
 ms.topic: conceptual
 ms.service: iot-edge
 services: iot-edge