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Create an Azure Machine Learning aks compute.

Data ultimo aggiornamento: 27/05/2021

This template creates an Azure Machine Learning aks compute.

Questo modello di Azure Resource Manager è stato creato da un membro della community e non da Microsoft. Ogni modello di Azure Resource Manager viene concesso in licenza ai sensi di un contratto di licenza a cura del proprietario e non di Microsoft. Microsoft non è responsabile dei modelli di Azure Resource Manager forniti e concessi in licenza da membri della community e non ne verifica la sicurezza, la compatibilità o le prestazioni. I modelli di Azure Resource Manager della community non sono supportati nell'ambito di alcun programma o servizio di supporto tecnico Microsoft e vengono resi disponibili COSÌ COME SONO senza garanzie di alcun tipo.

Parametri

Nome parametro Descrizione
computeName The exposed port for the compute instance.
dnsServiceIP The exposed port for the compute instance.
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.
location The exposed port for the compute instance.
dockerBridgeCidr The exposed port for the compute instance.
serviceCidr The exposed port for the compute instance.
agentVmSize The Azure VM size of the agent VM nodes. This cannot be changed once the cluster is created.
agentCount The number of agent nodes in the Container Service..
cert The SSL cert data in PEM format encoded as base64 string
key The SSL key data in PEM format encoded as base64 string.
cname The CName of the cert.
leafDomainLabel The leaf domain label of public endpoint.
overwriteExistingDomain Value indicating whether to overwrite existing domain label.
renew Value indicating whether to renew certificate.
sslStatus SSL status. Allowed values are Enabled and Disabled.
workspaceName The exposed port for the compute instance.

Usa il modello

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-compute-create-akscompute/azuredeploy.json
Installare e configurare Azure PowerShell

Riga di comando

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-compute-create-akscompute/azuredeploy.json
Installare e configurare l'interfaccia della riga di comando multipiattaforma di Azure