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Deploy a Ubuntu Linux DataScience VM 18.04.

Lee Stott 提供
上次更新日期: 2021/5/3

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.

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
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.

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/application-workloads/datascience/vm-ubuntu-DSVM-GPU-or-CPU/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/application-workloads/datascience/vm-ubuntu-DSVM-GPU-or-CPU/azuredeploy.json
安裝和設定 Azure 跨平台命令列介面