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Create an Azure Machine Learning aks compute.

par ragargms
Dernière mise à jour : 27/05/2021

This template creates an Azure Machine Learning aks compute.

Ce modèle ARM (Azure Resource Manager) a été créé par un membre de la communauté et non par Microsoft. Chaque modèle ARM vous est concédé sous licence sous un contrat de licence par son propriétaire, et non par Microsoft. Microsoft ne peut pas être tenu responsable des modèles ARM fournis et concédés sous licence par les membres de la communauté, ni ne vérifie leur sécurité, leur compatibilité ou leurs performances. Les modèles ARM de la communauté ne sont pris en charge par aucun programme ou service de support Microsoft. Ils sont rendus disponibles EN L'ÉTAT sans garantie d'aucune sorte.

Paramètres

Nom du paramètre Description
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.

Utiliser le modèle

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
Installer et configurer Azure PowerShell

Ligne de commande

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
Installer et configurer l'interface de ligne de commande multiplateforme Azure