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articles/machine-learning/data-science-virtual-machine/dsvm-tutorial-resource-manager.md

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# Quickstart: Create an Ubuntu Data Science Virtual Machine using an ARM template
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This quickstart will show you how to create an Ubuntu 18.04 Data Science Virtual Machine using an Azure Resource Manager template (ARM template). Data Science Virtual Machines are cloud-based virtual machines preloaded with a suite of data science and machine learning frameworks and tools. When deployed on GPU-powered compute resources, all tools and libraries are configured to use the GPU.
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This quickstart will show you how to create an Ubuntu Data Science Virtual Machine using an Azure Resource Manager template (ARM template). Data Science Virtual Machines are cloud-based virtual machines preloaded with a suite of data science and machine learning frameworks and tools. When deployed on GPU-powered compute resources, all tools and libraries are configured to use the GPU.
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[!INCLUDE [About Azure Resource Manager](../../../includes/resource-manager-quickstart-introduction.md)]
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* [Microsoft.Network/virtualNetworks](/azure/templates/microsoft.network/virtualnetworks)
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* [Microsoft.Network/publicIPAddresses](/azure/templates/microsoft.network/publicipaddresses)
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* [Microsoft.Storage/storageAccounts](/azure/templates/microsoft.storage/storageaccounts)
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* [Microsoft.Compute/virtualMachines](/azure/templates/microsoft.compute/virtualmachines): Create a cloud-based virtual machine. In this template, the virtual machine is configured as a Data Science Virtual Machine running Ubuntu 18.04.
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* [Microsoft.Compute/virtualMachines](/azure/templates/microsoft.compute/virtualmachines): Create a cloud-based virtual machine. In this template, the virtual machine is configured as a Data Science Virtual Machine running Ubuntu.
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## Deploy the template
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