This template deploy a Ubuntu Server with some tools for Data Science. You can provide the username, password, virtual machine name and select between CPU or GPU computing.
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|adminUsername||Username for Administrator Account|
|vmName||The name of you Virtual Machine.|
|location||Location for all resources.|
|cpu-gpu||Choose between CPU or GPU processing|
|virtualNetworkName||Name of the VNET|
|subnetName||Name of the subnet in the virtual network|
|networkSecurityGroupName||Name of the Network Security Group|
|authenticationType||Type of authentication to use on the Virtual Machine. SSH key is recommended.|
|adminPasswordOrKey||SSH Key or password for the Virtual Machine. SSH key is recommended.|
Use the template
New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstall and configure Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/application-workloads/datascience/vm-ubuntu-DSVM-GPU-or-CPU/azuredeploy.json
az group create --name <resource-group-name> --location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstall and Configure the Azure Cross-Platform Command-Line Interface
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/application-workloads/datascience/vm-ubuntu-DSVM-GPU-or-CPU/azuredeploy.json