This template creates an Azure Machine Learning compute cluster.
This Azure Resource Manager (ARM) template was created by a member of the community and not by Microsoft. Each ARM template is licensed to you under a licence agreement by its owner, not Microsoft. Microsoft is not responsible for ARM templates provided and licensed by community members and does not screen for security, compatibility or performance. Community ARM templates are not supported under any Microsoft support programme or service, and are made available AS IS without warranty of any kind.
Parameters
Parameter Name | Description |
---|---|
workspaceName | Specifies the name of the Azure Machine Learning Workspace which will contain this compute. |
clusterName | Specifies the name of the Azure Machine Learning Compute cluster. |
minNodeCount | The minimum number of nodes to use on the cluster. If not specified, defaults to 0 |
maxNodeCount | The maximum number of nodes to use on the cluster. If not specified, defaults to 4. |
location | The location of the Azure Machine Learning Workspace. |
adminUserName | The name of the administrator user account which can be used to SSH into nodes. It must only contain lower case alphabetic characters [a-z]. |
adminUserPassword | The password of the administrator user account. |
vmSize | The size of agent VMs. More details can be found here: https://aka.ms/azureml-vm-details. |
vnetResourceGroupName | Name of the resource group which holds the VNET to which you want to inject your compute in. |
vnetName | Name of the vnet which you want to inject your compute in. |
subnetName | Name of the subnet inside the VNET which you want to inject your compute in. |
Use the template
PowerShell
New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstalling and configuring Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/101-machine-learning-compute-create-amlcompute/azuredeploy.json
Command line
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 deploymentInstalling and configuring 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/101-machine-learning-compute-create-amlcompute/azuredeploy.json