az ml compute
Note
This reference is part of the ml extension for the Azure CLI (version 2.15.0 or higher). The extension will automatically install the first time you run an az ml compute command. Learn more about extensions.
Manage Azure ML compute resources.
Azure ML compute targets are designated compute resources where you can run your jobs for training or deploy your models for inference.
Commands
| Name | Description | Type | Status |
|---|---|---|---|
| az ml compute attach |
Attach an existing compute resource to a workspace. |
Extension | GA |
| az ml compute connect-ssh |
Set up SSH connection to Compute Instance. |
Extension | Preview |
| az ml compute create |
Create a compute target. |
Extension | GA |
| az ml compute delete |
Delete a compute target. |
Extension | GA |
| az ml compute detach |
Detach a previously attached compute resource from a workspace. |
Extension | GA |
| az ml compute list |
List the compute targets in a workspace. |
Extension | GA |
| az ml compute list-nodes |
List node details for a compute target. The only supported compute type for this command is AML compute. |
Extension | GA |
| az ml compute list-sizes |
List the VM sizes available by location. |
Extension | GA |
| az ml compute list-usage |
List the available usage resources for VMs. |
Extension | GA |
| az ml compute restart |
Restart a ComputeInstance target. |
Extension | GA |
| az ml compute show |
Show details for a compute target. |
Extension | GA |
| az ml compute start |
Start a ComputeInstance target. |
Extension | GA |
| az ml compute stop |
Stop a ComputeInstance target. |
Extension | GA |
| az ml compute update |
Update a compute target. |
Extension | GA |
az ml compute attach
Attach an existing compute resource to a workspace.
Kubernetes clusters and remote VMs can be attached as compute targets.
az ml compute attach --resource-group
--workspace-name
[--admin-password]
[--admin-username]
[--file]
[--identity-type]
[--name]
[--namespace]
[--no-wait]
[--resource-id]
[--ssh-port]
[--ssh-private-key-file]
[--type]
[--user-assigned-identities]Required Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
The administrator user password that can be used to SSH into the node(s).
Name of the administrator user account that can be used to SSH into the node(s).
Local path to the YAML file containing the Azure ML compute specification.
The type of manged identity. Allowed values: SystemAssigned, UserAssigned.
Name of the compute target (Required if not specified in the yaml file).
Namespace of a KubernetesCompute.
Do not wait for the long-running operation to finish.
The fully qualified ID of the resource, including the resource name and resource type (Required if not specified in the yaml file).
The port number that can be used to SSH into the node(s). If not specified, the default (port 22) will be used.
The file containing the SSH private key of the administrator user account.
The type of compute target. Allowed values: virtualmachine, Kubernetes.
The user assigned identity's resource ID, required for --identity_type=UserAssigned.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute connect-ssh
This command is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Set up SSH connection to Compute Instance.
az ml compute connect-ssh --name
--resource-group
--workspace-name
[--private-key-file-path]Examples
Connect to a Compute Instance via SSH
az ml compute connect-ssh --name ci1 --resource-group my-resource-group --workspace-name my-workspace --private-key-file-path sshkey.pemRequired Parameters
Name of the compute target. Required.
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
The path to the private key file file.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute create
Create a compute target.
You can create an AmlCompute cluster, which is Azure ML's managed compute infrastructure, or a compute instance, which is a managed cloud-based workstation.
az ml compute create --resource-group
--workspace-name
[--admin-password]
[--admin-username]
[--description]
[--enable-node-public-ip]
[--file]
[--identity-type]
[--idle-time-before-scale-down]
[--location]
[--max-instances]
[--min-instances]
[--name]
[--no-wait]
[--set]
[--size]
[--ssh-key-value]
[--ssh-public-access-enabled]
[--subnet]
[--tags]
[--tier]
[--type]
[--user-assigned-identities]
[--user-object-id]
[--user-tenant-id]
[--vnet-name]Examples
Create a compute target from a YAML specification file
az ml compute create --file compute.yml --resource-group my-resource-group --workspace-name my-workspaceCreate an AmlCompute target using command options
az ml compute create --name nc6-cluster --size Standard_NC6 --min-instances 0 --max-instances 5 --type AmlCompute --resource-group my-resource-group --workspace-name my-workspaceRequired Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Password for the administrator user account if authentication type is 'Password'.
Name of the administrator user account that can be used to SSH into the node(s).
Description of the compute target.
Indicates whether public IP is enabled. Default: True.
Local path to the YAML file containing the Azure ML compute specification. The YAML reference docs for compute can be found at: https://aka.ms/ml-cli-v2-compute-aml-yaml-reference, https://aka.ms/ml-cli-v2-compute-instance-yaml-reference, https://aka.ms/ml-cli-v2-compute-vm-yaml-reference.
The type of managed identity. Allowed values: SystemAssigned, UserAssigned.
Node idle time in seconds before scaling down the cluster. Default: 120.
Location of the compute. If not specified, defaults to the location of the workspace.
The maximum number of nodes to use on the cluster. Default: 4.
The minimum number of nodes to use on the cluster. Default: 0.
Name of the compute target. Required if --file/-f is not provided.
Do not wait for the long-running-operation to finish. Default is False.
Update an object by specifying a property path and value to set. Example: --set property1.property2=.
VM size to use for the compute target. More details can be found here: https://aka.ms/azureml-vm-details.
SSH public key of the administrator user account.
Indicates whether public SSH port is enabled.
Name of the subnet. Can also reference a subnet in an existing vnet by ID instead of name. If subnet ID is specified then vnet-name will be ignored. Subnet ID can refer to a vnet/subnet in another RG by specifying the fully qualified subnet ID. Required when vnet name is specified.
Space-separated key-value pairs for the tags of the object.
VM priority tier. Allowed values: dedicated, low_priority.
The type of compute target. Required if --file/-f is not provided. Allowed values: AmlCompute, ComputeInstance.
Use '[system]' to set a system assigned identity else input resource IDs separated by commas (ie ,) to set user assigned identities.
AAD object ID of the assigned user.
AAD tenant ID of the assigned user.
Name of the virtual network.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute delete
Delete a compute target.
az ml compute delete --name
--resource-group
--workspace-name
[--no-wait]
[--yes]Required Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Do not wait for the long-running-operation to finish. Default is False.
Do not prompt for confirmation.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute detach
Detach a previously attached compute resource from a workspace.
az ml compute detach --name
--resource-group
--workspace-name
[--no-wait]
[--yes]Required Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Do not wait for the long-running operation to finish.
Do not prompt for confirmation.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute list
List the compute targets in a workspace.
az ml compute list --resource-group
--workspace-name
[--max-results]
[--type]Examples
List all the compute targets in a workspace using --query argument to execute a JMESPath query on the results of commands.
az ml compute list --query "[].{Name:name}" --output table --resource-group my-resource-group --workspace-name my-workspaceRequired Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Max number of results to return.
The type of compute target. Allowed values: AmlCompute, ComputeInstance, Kubernetes.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute list-nodes
List node details for a compute target. The only supported compute type for this command is AML compute.
az ml compute list-nodes --name
--resource-group
--workspace-nameExamples
List node details for an AML compute target
az ml compute list-nodes --name nc6-cluster --resource-group my-resource-group --workspace-name my-workspaceRequired Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute list-sizes
List the VM sizes available by location.
az ml compute list-sizes --resource-group
--workspace-name
[--location]
[--type]Required Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Location. Values from: az account list-locations. You can configure the default location using az configure --defaults location=<location>.
The type of compute target. Allowed values: AmlCompute, ComputeInstance.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute list-usage
List the available usage resources for VMs.
az ml compute list-usage --resource-group
--workspace-name
[--location]Required Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Defaults to workspace location.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute restart
Restart a ComputeInstance target.
--no-wait option is recommended.
az ml compute restart --name
--resource-group
--workspace-name
[--no-wait]Required Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Do not wait for the long-running-operation to finish. Default is False.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute show
Show details for a compute target.
az ml compute show --name
--resource-group
--workspace-nameExamples
Show details for a compute target
az ml compute show --name nc6-cluster --resource-group my-resource-group --workspace-name my-workspaceRequired Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute start
Start a ComputeInstance target.
--no-wait option is recommended.
az ml compute start --name
--resource-group
--workspace-name
[--no-wait]Required Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Do not wait for the long-running-operation to finish. Default is False.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute stop
Stop a ComputeInstance target.
--no-wait option is recommended.
az ml compute stop --name
--resource-group
--workspace-name
[--no-wait]Required Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Do not wait for the long-running-operation to finish. Default is False.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
az ml compute update
Update a compute target.
The 'tags', 'max_instances', 'min_instances', 'idle_time_before_scale_down', 'identity_type', and 'user_assigned_identities' properties can be updated.
az ml compute update --name
--resource-group
--workspace-name
[--add]
[--force-string]
[--identity-type]
[--idle-time-before-scale-down]
[--max-instances]
[--min-instances]
[--no-wait]
[--remove]
[--set]
[--tags]
[--user-assigned-identities]Examples
Update the minimum number of nodes for an AmlCompute cluster
az ml compute update --name nc6-cluster --min-instances 1 --resource-group my-resource-group --workspace-name my-workspaceUpdate existing tags or add new tags for an AmlCompute cluster
az ml compute update --name nc6-cluster --tags key1=value1 key2=value2 --resource-group my-resource-group --workspace-name my-workspaceRequired Parameters
Name of the compute target (Required if not specified in the yaml file).
Name of resource group. You can configure the default group using az configure --defaults group=<name>.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>.
Optional Parameters
Add an object to a list of objects by specifying a path and key value pairs. Example: --add property.listProperty <key=value, string or JSON string>.
When using 'set' or 'add', preserve string literals instead of attempting to convert to JSON.
The type of managed identity. Allowed values: SystemAssigned, UserAssigned.
Node idle time in seconds before scaling down the cluster. Default: 120.
Maximum number of nodes to use. Default: 4.
Minimum number of nodes to use. Default: 0.
Do not wait for the long-running-operation to finish. Default is False.
Remove a property or an element from a list. Example: --remove property.list <indexToRemove> OR --remove propertyToRemove.
Update an object by specifying a property path and value to set. Example: --set property1.property2=<value>.
Space-separated key-value pairs for the tags of the object.
Use '[system]' to set a system assigned identity else input resource IDs separated by commas (ie ,) to set user assigned identities.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.
Increase logging verbosity. Use --debug for full debug logs.
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