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Azure Machine Learning end-to-end secure setup

Dennis Eikelenboom 提供
上次更新日期: 2022/4/8

This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.

此 Azure Resource Manager (ARM) 範本是由社群成員 (而非 Microsoft) 建立。每個 ARM 範本都是由其擁有者 (而非 Microsoft) 依據授權合約授權給您。Microsoft 並不負責社群成員所提供和授權的 ARM 範本,而不會為了安全性、相容性或效能進行篩選。社群 ARM 範本並未依據任何 Microsoft 支援方案或服務提供支援,而且會在沒有任何擔保的情況下依現況提供。

參數

參數名稱 說明
prefix Prefix for all resource names.
location Azure region used for the deployment of all resources.
tags Set of tags to apply to all resources.
vnetAddressPrefix Virtual network address prefix
trainingSubnetPrefix Training subnet address prefix
scoringSubnetPrefix Scoring subnet address prefix
azureBastionSubnetPrefix Bastion subnet address prefix
deployJumphost Deploy a Bastion jumphost to access the network-isolated environment?
dsvmJumpboxUsername Jumphost virtual machine username
dsvmJumpboxPassword Jumphost virtual machine password
amlComputePublicIp Enable public IP for Azure Machine Learning compute nodes
amlComputeDefaultVmSize VM size for the default compute cluster

使用範本

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 deployment
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-end-to-end-secure/azuredeploy.json
安裝和設定 Azure PowerShell

命令列

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 deployment
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-end-to-end-secure/azuredeploy.json
安裝和設定 Azure 跨平台命令列介面