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articles/virtual-machines/sizes-gpu.md

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# GPU optimized virtual machine sizes
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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.
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GPU optimized VM sizes are specialized virtual machines available with single, multiple, or fractional 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.
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- [NC-series](nc-series.md), [NCv2-series](ncv2-series.md), [NCv3-series](ncv3-series.md) 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 NC-series uses the Intel Xeon E5-2690 v3 2.60GHz v3 (Haswell) processor, and the NCv2-series and NCv3-series VMs use the Intel Xeon E5-2690 v4 (Broadwell) processor.
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## Supported operating systems and drivers
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To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed.
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To take advantage of the GPU capabilities of Azure N-series VMs, the appropriate GPU drivers must be installed.
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The [NVIDIA GPU Driver Extension](/azure/virtual-machines/extensions/hpccompute-gpu-windows) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](/azure/virtual-machines/extensions/hpccompute-gpu-windows) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](/azure/virtual-machines/extensions/overview).
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- For VMs backed by NVIDIA GPUs, the [NVIDIA GPU Driver Extension](/azure/virtual-machines/extensions/hpccompute-gpu-windows) installs appropriate NVIDIA CUDA or GRID drivers. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](/azure/virtual-machines/extensions/hpccompute-gpu-windows) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](/azure/virtual-machines/extensions/overview).
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If you choose to install NVIDIA GPU drivers manually, see [N-series GPU driver setup for Windows](/azure/virtual-machines/windows/n-series-driver-setup) or [N-series GPU driver setup for Linux](/azure/virtual-machines/linux/n-series-driver-setup) for supported operating systems, drivers, installation, and verification steps.
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Alternatively, you may install NVIDIA GPU drivers manually. See [Install NVIDIA GPU drivers on N-series VMs running Windows](/azure/virtual-machines/windows/n-series-driver-setup) or [Install NVIDIA GPU drivers on N-series VMs running Linux](/azure/virtual-machines/linux/n-series-driver-setup) for supported operating systems, drivers, installation, and verification steps.
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- For VMs backed by AMD GPUs, see [Install AMD GPU drivers on N-series VMs running Windows](/azure/virtual-machines/windows/n-series-amd-driver-setup) for supported operating systems, drivers, installation, and verification steps.
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## Deployment considerations
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