Skip to content

Commit 7068679

Browse files
Merge pull request #214945 from LouisBerner/v-lberner-ADO_2000342
Added first note
2 parents de718cc + cfddfea commit 7068679

5 files changed

+20
-6
lines changed

articles/databox-online/azure-stack-edge-gpu-configure-gpu-modules.md

Lines changed: 4 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -7,18 +7,20 @@ author: alkohli
77
ms.service: databox
88
ms.subservice: edge
99
ms.topic: how-to
10-
ms.date: 03/12/2021
10+
ms.date: 10/19/2022
1111
ms.author: alkohli
1212
---
1313
# Configure and run a module on GPU on Azure Stack Edge Pro device
1414

1515
[!INCLUDE [applies-to-GPU-and-pro-r-skus](../../includes/azure-stack-edge-applies-to-gpu-pro-r-sku.md)]
1616

17+
> [!NOTE]
18+
> We strongly recommend that you deploy the latest IoT Edge version in a Linux VM. The managed IoT Edge on Azure Stack Edge uses an older version of IoT Edge runtime that doesn’t have the latest features and patches. For instructions, see how to [Deploy an Ubuntu VM](azure-stack-edge-gpu-deploy-iot-edge-linux-vm.md). For more information on other supported Linux distributions that can run IoT Edge, see [Azure IoT Edge supported systems – Container engines](../iot-edge/support.md#linux-containers).
19+
1720
Your Azure Stack Edge Pro device contains one or more Graphics Processing Unit (GPU). GPUs are a popular choice for AI computations as they offer parallel processing capabilities and are faster at image rendering than Central Processing Units (CPUs). For more information on the GPU contained in your Azure Stack Edge Pro device, go to [Azure Stack Edge Pro device technical specifications](azure-stack-edge-gpu-technical-specifications-compliance.md).
1821

1922
This article describes how to configure and run a module on the GPU on your Azure Stack Edge Pro device. In this article, you will use a publicly available container module **Digits** written for Nvidia T4 GPUs. This procedure can be used to configure any other modules published by Nvidia for these GPUs.
2023

21-
2224
## Prerequisites
2325

2426
Before you begin, make sure that:

articles/databox-online/azure-stack-edge-gpu-deploy-compute-module-simple.md

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@ author: alkohli
77
ms.service: databox
88
ms.subservice: edge
99
ms.topic: tutorial
10-
ms.date: 02/22/2021
10+
ms.date: 10/19/2022
1111
ms.author: alkohli
1212
# Customer intent: As an IT admin, I need to understand how to configure compute on Azure Stack Edge Pro so I can use it to transform the data before sending it to Azure.
1313
---
@@ -16,6 +16,9 @@ ms.author: alkohli
1616

1717
[!INCLUDE [applies-to-GPU-and-pro-r-skus](../../includes/azure-stack-edge-applies-to-gpu-pro-r-sku.md)]
1818

19+
> [!NOTE]
20+
> We strongly recommend that you deploy the latest IoT Edge version in a Linux VM. The managed IoT Edge on Azure Stack Edge uses an older version of IoT Edge runtime that doesn’t have the latest features and patches. For instructions, see how to [Deploy an Ubuntu VM](azure-stack-edge-gpu-deploy-iot-edge-linux-vm.md). For more information on other supported Linux distributions that can run IoT Edge, see [Azure IoT Edge supported systems – Container engines](../iot-edge/support.md#linux-containers).
21+
1922
This tutorial describes how to run a compute workload using an IoT Edge module on your Azure Stack Edge Pro GPU device. After you configure the compute, the device will transform the data before sending it to Azure.
2023

2124
This procedure can take around 10 to 15 minutes to complete.

articles/databox-online/azure-stack-edge-gpu-deploy-sample-module-marketplace.md

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,14 +7,17 @@ author: alkohli
77
ms.service: databox
88
ms.subservice: edge
99
ms.topic: how-to
10-
ms.date: 02/22/2021
10+
ms.date: 10/19/2022
1111
ms.author: alkohli
1212
---
1313

1414
# Deploy a GPU enabled IoT module from Azure Marketplace on Azure Stack Edge Pro GPU device
1515

1616
[!INCLUDE [applies-to-GPU-and-pro-r-skus](../../includes/azure-stack-edge-applies-to-gpu-pro-r-sku.md)]
1717

18+
> [!NOTE]
19+
> We strongly recommend that you deploy the latest IoT Edge version in a Linux VM. The managed IoT Edge on Azure Stack Edge uses an older version of IoT Edge runtime that doesn’t have the latest features and patches. For instructions, see how to [Deploy an Ubuntu VM](azure-stack-edge-gpu-deploy-iot-edge-linux-vm.md). For more information on other supported Linux distributions that can run IoT Edge, see [Azure IoT Edge supported systems – Container engines](../iot-edge/support.md#linux-containers).
20+
1821
This article describes how to deploy a Graphics Processing Unit (GPU) enabled IoT Edge module from Azure Marketplace on your Azure Stack Edge Pro device.
1922

2023
In this article, you learn how to:

articles/databox-online/azure-stack-edge-gpu-deploy-sample-module.md

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,14 +7,17 @@ author: alkohli
77
ms.service: databox
88
ms.subservice: edge
99
ms.topic: how-to
10-
ms.date: 06/28/2022
10+
ms.date: 10/19/2022
1111
ms.author: alkohli
1212
---
1313

1414
# Deploy a GPU enabled IoT module on Azure Stack Edge Pro GPU device
1515

1616
[!INCLUDE [applies-to-gpu-pro-pro2-and-pro-r-skus](../../includes/azure-stack-edge-applies-to-gpu-pro-pro-2-pro-r-sku.md)]
1717

18+
> [!NOTE]
19+
> We strongly recommend that you deploy the latest IoT Edge version in a Linux VM. The managed IoT Edge on Azure Stack Edge uses an older version of IoT Edge runtime that doesn’t have the latest features and patches. For instructions, see how to [Deploy an Ubuntu VM](azure-stack-edge-gpu-deploy-iot-edge-linux-vm.md). For more information on other supported Linux distributions that can run IoT Edge, see [Azure IoT Edge supported systems – Container engines](../iot-edge/support.md#linux-containers).
20+
1821
This article describes how to deploy a GPU enabled IoT Edge module on your Azure Stack Edge Pro GPU device.
1922

2023
In this article, you learn how to:

articles/databox-online/azure-stack-edge-gpu-modify-fpga-modules-gpu.md

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,7 @@ author: alkohli
66
ms.service: databox
77
ms.subservice: edge
88
ms.topic: how-to
9-
ms.date: 02/22/2021
9+
ms.date: 10/18/2021
1010
ms.author: alkohli
1111
ms.custom: ignite-fall-2021
1212
---
@@ -15,6 +15,9 @@ ms.custom: ignite-fall-2021
1515

1616
[!INCLUDE [applies-to-GPU-and-pro-r-skus](../../includes/azure-stack-edge-applies-to-gpu-pro-r-sku.md)]
1717

18+
> [!NOTE]
19+
> We strongly recommend that you deploy the latest IoT Edge version in a Linux VM. The managed IoT Edge on Azure Stack Edge uses an older version of IoT Edge runtime that doesn’t have the latest features and patches. For instructions, see how to [Deploy an Ubuntu VM](azure-stack-edge-gpu-deploy-iot-edge-linux-vm.md). For more information on other supported Linux distributions that can run IoT Edge, see [Azure IoT Edge supported systems – Container engines](../iot-edge/support.md#linux-containers).
20+
1821
This article details the changes needed for a docker-based IoT Edge module that runs on Azure Stack Edge Pro FPGA so it can run on a Kubernetes-based IoT Edge platform on Azure Stack Edge Pro GPU device.
1922

2023
## About IoT Edge implementation

0 commit comments

Comments
 (0)