Merge pull request #58003 from cynthn/ndv2

NDv2

Author: ktoliver

articles/virtual-machines/linux/sizes.md

@@ -14,7 +14,7 @@ ms.devlang: na
 ms.topic: article
 ms.tgt_pltfrm: vm-linux
 ms.workload: infrastructure-services
-ms.date: 10/01/2018
+ms.date: 11/14/2018
 ms.author: jonbeck
 ---
 
@@ -28,7 +28,7 @@ This article describes the available sizes and options for the Azure virtual mac
 | [Compute optimized](sizes-compute.md)        | Fsv2, Fs, F             | High CPU-to-memory ratio. Good for medium traffic web servers, network appliances, batch processes, and application servers.        |
 | [Memory optimized](sizes-memory.md)         | Esv3, Ev3, M, GS, G, DSv2, Dv2  | High memory-to-CPU ratio. Great for relational database servers, medium to large caches, and in-memory analytics.                 |
 | [Storage optimized](sizes-storage.md)        | Ls                | High disk throughput and IO. Ideal for Big Data, SQL, and NoSQL databases.                                                         |
-| [GPU](sizes-gpu.md)            | NV, NVv2, NC, NCv2, NCv3, ND            | Specialized virtual machines targeted for heavy graphic rendering and video editing, as well as model training and inferencing (ND) with deep learning. Available with single or multiple GPUs.       |
+| [GPU](sizes-gpu.md)            | NV, NVv2, NC, NCv2, NCv3, ND, NDv2 (Preview)            | Specialized virtual machines targeted for heavy graphic rendering and video editing, as well as model training and inferencing (ND) with deep learning. Available with single or multiple GPUs.       |
 | [High performance compute](sizes-hpc.md) | H       | Our fastest and most powerful CPU virtual machines with optional high-throughput network interfaces (RDMA). |
 
 

articles/virtual-machines/windows/n-series-driver-setup.md

@@ -2,8 +2,7 @@
 title: Azure N-series GPU driver setup for Windows | Microsoft Docs
 description: How to set up NVIDIA GPU drivers for N-series VMs running Windows Server or Windows in Azure
 services: virtual-machines-windows
-documentationcenter: ''
-author: dlepow
+author: cynthn
 manager: jeconnoc
 editor: ''
 tags: azure-resource-manager
@@ -15,9 +14,8 @@ ms.topic: article
 ms.tgt_pltfrm: vm-windows
 ms.workload: infrastructure-services
 ms.date: 09/24/2018
-ms.author: danlep
+ms.author: cynthn
 ms.custom: H1Hack27Feb2017
-
 ---
 # Install NVIDIA GPU drivers on N-series VMs running Windows 
 
@@ -47,13 +45,13 @@ To query the GPU device state, run the [nvidia-smi](https://developer.nvidia.com
 
 1. Open a command prompt and change to the **C:\Program Files\NVIDIA Corporation\NVSMI** directory.
 
-2. Run `nvidia-smi`. If the driver is installed you will see output similar to the following. Note that **GPU-Util** shows **0%** unless you are currently running a GPU workload on the VM. Your driver version and GPU details may be different from the ones shown.
+2. Run `nvidia-smi`. If the driver is installed, you will see output similar to the following. The **GPU-Util** shows **0%** unless you are currently running a GPU workload on the VM. Your driver version and GPU details may be different from the ones shown.
 
 ![NVIDIA device status](./media/n-series-driver-setup/smi.png)  
 
 ## RDMA network connectivity
 
-RDMA network connectivity can be enabled on RDMA-capable N-series VMs such as NC24r deployed in the same availability set or in a single placement group in a VM scale set. The HpcVmDrivers extension must be added to install Windows network device drivers that enable RDMA connectivity. To add the VM extension to an RDMA-enabled N-series VM, use [Azure PowerShell](/powershell/azure/overview) cmdlets for Azure Resource Manager.
+RDMA network connectivity can be enabled on RDMA-capable N-series VMs such as NC24r deployed in the same availability set or in a single placement group in a virtual machine scale set. The HpcVmDrivers extension must be added to install Windows network device drivers that enable RDMA connectivity. To add the VM extension to an RDMA-enabled N-series VM, use [Azure PowerShell](/powershell/azure/overview) cmdlets for Azure Resource Manager.
 
 To install the latest version 1.1 HpcVMDrivers extension on an existing RDMA-capable VM named myVM in the West US region:
   ```PowerShell

articles/virtual-machines/windows/sizes.md

@@ -14,7 +14,7 @@ ms.devlang: na
 ms.topic: article
 ms.tgt_pltfrm: vm-windows
 ms.workload: infrastructure-services
-ms.date: 10/01/2018
+ms.date: 11/14/2018
 ms.author: jonbeck
 ---
 
@@ -29,7 +29,7 @@ This article describes the available sizes and options for the Azure virtual mac
 | [Compute optimized](sizes-compute.md)        | Fsv2, Fs, F             | High CPU-to-memory ratio. Good for medium traffic web servers, network appliances, batch processes, and application servers.        |
 | [Memory optimized](../virtual-machines-windows-sizes-memory.md)         | Esv3, Ev3, M, GS, G, DSv2, Dv2  | High memory-to-CPU ratio. Great for relational database servers, medium to large caches, and in-memory analytics.                 |
 | [Storage optimized](../virtual-machines-windows-sizes-storage.md)        | Ls                | High disk throughput and IO. Ideal for Big Data, SQL, and NoSQL databases.                                                         |
-| [GPU](sizes-gpu.md)            | NV, NVv2, NC, NCv2, NCv3, ND            | Specialized virtual machines targeted for heavy graphic rendering and video editing, as well as model training and inferencing (ND) with deep learning. Available with single or multiple GPUs.       |
+| [GPU](sizes-gpu.md)            | NV, NVv2, NC, NCv2, NCv3, ND, Ndv2 (Preview)            | Specialized virtual machines targeted for heavy graphic rendering and video editing, as well as model training and inferencing (ND) with deep learning. Available with single or multiple GPUs.       |
 | [High performance compute](sizes-hpc.md) | H       | Our fastest and most powerful CPU virtual machines with optional high-throughput network interfaces (RDMA). |
 
 

includes/virtual-machines-common-sizes-gpu.md

@@ -2,17 +2,17 @@
  title: include file
  description: include file
  services: virtual-machines-windows, virtual-machines-linux
- author: dlepow
+ author: cynthn
  ms.service: multiple
  ms.topic: include
- ms.date: 10/23/2018
- ms.author: danlep;azcspmt;jonbeck
+ ms.date: 11/14/2018
+ ms.author: cynthn;azcspmt;jonbeck
  ms.custom: include file
 ---
 
 GPU optimized VM sizes are specialized virtual machines available with single or multiple NVIDIA GPUs. These sizes are designed for compute-intensive, graphics-intensive, and visualization workloads. This article provides information about the number and type of GPUs, vCPUs, data disks, and NICs. Storage throughput and network bandwidth are also included for each size in this grouping. 
 
-* **NC, NCv2, NCv3, and ND** sizes are optimized for compute-intensive and network-intensive applications and algorithms. Some examples are CUDA- and OpenCL-based applications and simulations, AI, and Deep Learning. The NCv3-series is focused on high-performance computing workloads featuring NVIDIA’s Tesla V100 GPU.  The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPU.
+* **NC, NCv2, NCv3, ND, and NDv2** sizes are optimized for compute-intensive and network-intensive applications and algorithms. Some examples are CUDA- and OpenCL-based applications and simulations, AI, and Deep Learning. The NCv3-series is focused on high-performance computing workloads featuring NVIDIA’s Tesla V100 GPU.  The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPU.
 * **NV and NVv2** sizes are optimized and designed for remote visualization, streaming, gaming, encoding, and VDI scenarios using frameworks such as OpenGL and DirectX.  These VMs are backed by the NVIDIA Tesla M60 GPU.
 
 
@@ -22,7 +22,7 @@ Premium Storage:  Not Supported
 
 Premium Storage Caching:  Not Supported
 
-NC-series VMs are powered by the [NVIDIA Tesla K80](http://images.nvidia.com/content/pdf/kepler/Tesla-K80-BoardSpec-07317-001-v05.pdf) card. Users can crunch through data faster by leveraging CUDA for energy exploration applications, crash simulations, ray traced rendering, deep learning and more. The NC24r configuration provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads.
+NC-series VMs are powered by the [NVIDIA Tesla K80](http://images.nvidia.com/content/pdf/kepler/Tesla-K80-BoardSpec-07317-001-v05.pdf) card. Users can crunch through data faster by leveraging CUDA for energy exploration applications, crash simulations, ray traced rendering, deep learning, and more. The NC24r configuration provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads.
 
 
 | Size | vCPU | Memory: GiB | Temp storage (SSD) GiB | GPU | GPU memory: GiB | Max data disks | Max NICs |
@@ -82,13 +82,33 @@ NCv3-series VMs are powered by [NVIDIA Tesla V100](http://www.nvidia.com/content
 
 *RDMA capable
 
+## NDv2-series (Preview)
+
+
+Premium Storage:  Supported
+
+Premium Storage Caching:  Supported
+
+Infiniband: Not supported
+
+
+NDv2-series virtual machine is a new addition to the GPU family designed for the needs of the HPC, AI, and machine learning workloads. It’s powered by 8 NVIDIA Tesla V100 NVLINK interconnected GPUs and 40 Intel Skylake cores and 672 GiB of system memory. NDv2 instance provides excellent FP32 and FP64 performance for HPC and AI workloads utilizing Cuda, TensorFlow, Pytorch, Caffe, and other frameworks.
+
+[Sign-up and get access to these machines during preview](https://aka.ms/ndv2signup).
+<br>
+
+
+| Size              | vCPU’s | GPU              | Memory  | NICs (Max) | Max. disk size           | Max. data disks (1023 GB each) | Max network bandwidth | 
+|-------------------|-------------|-------------------|--------|------------------|---------|------------|--------------------------|--------------------|--------------------------------|-----------------------------------------|-----------------------|------------|
+| Standard_ND40s_v2 | 40     | 8 V100 (NVlilnk) | 672 GiB | 8          | Temporary 1344 / 2948XIO | 32    | 24,000 Mbps             | 
+
 ## ND-series
 
 Premium Storage:  Supported
 
 Premium Storage Caching:  Supported
 
-The ND-series virtual machines are a new addition to the GPU family designed for AI and Deep Learning workloads. They offer excellent performance for training and inference. ND instances are powered by [NVIDIA Tesla P40](http://images.nvidia.com/content/pdf/tesla/184427-Tesla-P40-Datasheet-NV-Final-Letter-Web.pdf) GPUs. These instances provide excellent performance for single-precision floating point operations, for AI workloads utilizing Microsoft Cognitive Toolkit, TensorFlow, Caffe, and other frameworks. The ND-series also offers a much larger GPU memory size (24 GB), enabling to fit much larger neural net models. Like the NC-series, the ND-series offers a configuration with a secondary low-latency, high-throughput network through RDMA, and InfiniBand connectivity so you can run large-scale training jobs spanning many GPUs.
+The ND-series virtual machines are a new addition to the GPU family designed for AI, and Deep Learning workloads. They offer excellent performance for training and inference. ND instances are powered by [NVIDIA Tesla P40](http://images.nvidia.com/content/pdf/tesla/184427-Tesla-P40-Datasheet-NV-Final-Letter-Web.pdf) GPUs. These instances provide excellent performance for single-precision floating point operations, for AI workloads utilizing Microsoft Cognitive Toolkit, TensorFlow, Caffe, and other frameworks. The ND-series also offers a much larger GPU memory size (24 GB), enabling to fit much larger neural net models. Like the NC-series, the ND-series offers a configuration with a secondary low-latency, high-throughput network through RDMA, and InfiniBand connectivity so you can run large-scale training jobs spanning many GPUs.
 
 > [!IMPORTANT]
 > For this size family, the vCPU (core) quota per region in your subscription is initially set to 0. [Request a vCPU quota increase](../articles/azure-supportability/resource-manager-core-quotas-request.md) for this family in an [available region](https://azure.microsoft.com/regions/services/).

includes/virtual-machines-n-series-considerations.md

@@ -16,11 +16,11 @@
 
 * N-series VMs can only be deployed in the Resource Manager deployment model.
 
-* N-series VMs differ in the type of Azure Storage they support for their disks. NC and NV VMs only support VM disks that are backed by Standard Disk Storage (HDD). NCv2, NCv3, ND, and NVv2 VMs only support VM disks that are backed by Premium Disk Storage (SSD).
+* N-series VMs differ in the type of Azure Storage they support for their disks. NC and NV VMs only support VM disks that are backed by Standard Disk Storage (HDD). NCv2, NCv3, ND, NDv2, and NVv2 VMs only support VM disks that are backed by Premium Disk Storage (SSD).
 
 * If you want to deploy more than a few N-series VMs, consider a pay-as-you-go subscription or other purchase options. If you're using an [Azure free account](https://azure.microsoft.com/free/), you can use only a limited number of Azure compute cores.
 
-* You might need to increase the cores quota (per region) in your Azure subscription, and increase the separate quota for NC, NCv2, NCv3, ND, NV, or NVv2 cores. To request a quota increase, [open an online customer support request](../articles/azure-supportability/how-to-create-azure-support-request.md) at no charge. Default limits may vary depending on your subscription category.
+* You might need to increase the cores quota (per region) in your Azure subscription, and increase the separate quota for NC, NCv2, NCv3, ND, NDv2, NV, or NVv2 cores. To request a quota increase, [open an online customer support request](../articles/azure-supportability/how-to-create-azure-support-request.md) at no charge. Default limits may vary depending on your subscription category.
 
 
 

includes/virtual-machines-n-series-linux-support.md

@@ -2,19 +2,19 @@
  title: include file
  description: include file
  services: virtual-machines-linux
- author: dlepow
+ author: cynthn
  ms.service: virtual-machines-linux
  ms.topic: include
  ms.date: 11/08/2018
- ms.author: danlep
+ ms.author: cynthn
  ms.custom: include file
 ---
 
 ## Supported distributions and drivers
 
 ### NVIDIA CUDA drivers
 
-NVIDIA CUDA drivers for NC, NCv2, NCv3, and ND-series VMs (optional for NV-series) are supported only on the Linux distributions listed in the following table. CUDA driver information is current at time of publication. For the latest CUDA drivers, visit the [NVIDIA](https://developer.nvidia.com/cuda-zone) website. Ensure that you install or upgrade to the latest CUDA drivers for your distribution. 
+NVIDIA CUDA drivers for NC, NCv2, NCv3, ND, and NDv2-series VMs (optional for NV-series) are supported only on the Linux distributions listed in the following table. CUDA driver information is current at time of publication. For the latest CUDA drivers, visit the [NVIDIA](https://developer.nvidia.com/cuda-zone) website. Ensure that you install or upgrade to the latest CUDA drivers for your distribution. 
 
 > [!TIP]
 > As an alternative to manual CUDA driver installation on a Linux VM, you can deploy an Azure [Data Science Virtual Machine](../articles/machine-learning/data-science-virtual-machine/overview.md) image. The DSVM editions for Ubuntu 16.04 LTS or CentOS 7.4 pre-install NVIDIA CUDA drivers, the CUDA Deep Neural Network Library, and other tools.

includes/virtual-machines-n-series-windows-support.md

@@ -2,19 +2,19 @@
  title: include file
  description: include file
  services: virtual-machines-windows
- author: dlepow
+ author: cynthn
  ms.service: virtual-machines-windows
  ms.topic: include
- ms.date: 11/08/2018
- ms.author: danlep
+ ms.date: 11/14/2018
+ ms.author: cynthn
  ms.custom: include file
 ---
 
 ## Supported operating systems and drivers
 
 ### NVIDIA Tesla (CUDA) drivers
 
-NVIDIA Tesla (CUDA) drivers for NC, NCv2, NCv3, and ND-series VMs (optional for NV-series) are supported only on the operating systems listed in the following table. Driver download links are current at time of publication. For the latest drivers, visit the [NVIDIA](http://www.nvidia.com/) website.
+NVIDIA Tesla (CUDA) drivers for NC, NCv2, NCv3, ND, and NDv2-series VMs (optional for NV-series) are supported only on the operating systems listed in the following table. Driver download links are current at time of publication. For the latest drivers, visit the [NVIDIA](http://www.nvidia.com/) website.
 
 > [!TIP]
 > As an alternative to manual CUDA driver installation on a Windows Server VM, you can deploy an Azure [Data Science Virtual Machine](../articles/machine-learning/data-science-virtual-machine/overview.md) image. The DSVM editions for Windows Server 2016 pre-install NVIDIA CUDA drivers, the CUDA Deep Neural Network Library, and other tools.