azure-native.machinelearningservices.listMachineLearningComputeNodes (v1)

Azure Native v1.103.0 (1.x), Mar 9 26

This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.

Viewing docs for Azure Native v1.103.0 (Older version)
published on Monday, Mar 9, 2026 by Pulumi

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pulumi/pulumi-azure-native

This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.

Viewing docs for Azure Native v1.103.0 (Older version)
published on Monday, Mar 9, 2026 by Pulumi

Go to latest version

Schema (JSON)

pulumi/pulumi-azure-native

Using listMachineLearningComputeNodes

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function listMachineLearningComputeNodes(args: ListMachineLearningComputeNodesArgs, opts?: InvokeOptions): Promise<ListMachineLearningComputeNodesResult>
function listMachineLearningComputeNodesOutput(args: ListMachineLearningComputeNodesOutputArgs, opts?: InvokeOptions): Output<ListMachineLearningComputeNodesResult>

def list_machine_learning_compute_nodes(compute_name: Optional[str] = None,
                                        resource_group_name: Optional[str] = None,
                                        workspace_name: Optional[str] = None,
                                        opts: Optional[InvokeOptions] = None) -> ListMachineLearningComputeNodesResult
def list_machine_learning_compute_nodes_output(compute_name: Optional[pulumi.Input[str]] = None,
                                        resource_group_name: Optional[pulumi.Input[str]] = None,
                                        workspace_name: Optional[pulumi.Input[str]] = None,
                                        opts: Optional[InvokeOptions] = None) -> Output[ListMachineLearningComputeNodesResult]

func ListMachineLearningComputeNodes(ctx *Context, args *ListMachineLearningComputeNodesArgs, opts ...InvokeOption) (*ListMachineLearningComputeNodesResult, error)
func ListMachineLearningComputeNodesOutput(ctx *Context, args *ListMachineLearningComputeNodesOutputArgs, opts ...InvokeOption) ListMachineLearningComputeNodesResultOutput

> Note: This function is named ListMachineLearningComputeNodes in the Go SDK.

public static class ListMachineLearningComputeNodes 
{
    public static Task<ListMachineLearningComputeNodesResult> InvokeAsync(ListMachineLearningComputeNodesArgs args, InvokeOptions? opts = null)
    public static Output<ListMachineLearningComputeNodesResult> Invoke(ListMachineLearningComputeNodesInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<ListMachineLearningComputeNodesResult> listMachineLearningComputeNodes(ListMachineLearningComputeNodesArgs args, InvokeOptions options)
public static Output<ListMachineLearningComputeNodesResult> listMachineLearningComputeNodes(ListMachineLearningComputeNodesArgs args, InvokeOptions options)

fn::invoke:
  function: azure-native:machinelearningservices:listMachineLearningComputeNodes
  arguments:
    # arguments dictionary

The following arguments are supported:

ComputeName string: Name of the Azure Machine Learning compute.
ResourceGroupName string: Name of the resource group in which workspace is located.
WorkspaceName string: Name of Azure Machine Learning workspace.

ComputeName string: Name of the Azure Machine Learning compute.
ResourceGroupName string: Name of the resource group in which workspace is located.
WorkspaceName string: Name of Azure Machine Learning workspace.

computeName String: Name of the Azure Machine Learning compute.
resourceGroupName String: Name of the resource group in which workspace is located.
workspaceName String: Name of Azure Machine Learning workspace.

computeName string: Name of the Azure Machine Learning compute.
resourceGroupName string: Name of the resource group in which workspace is located.
workspaceName string: Name of Azure Machine Learning workspace.

compute_name str: Name of the Azure Machine Learning compute.
resource_group_name str: Name of the resource group in which workspace is located.
workspace_name str: Name of Azure Machine Learning workspace.

computeName String: Name of the Azure Machine Learning compute.
resourceGroupName String: Name of the resource group in which workspace is located.
workspaceName String: Name of Azure Machine Learning workspace.

listMachineLearningComputeNodes Result

The following output properties are available:

NextLink string: The continuation token.
Nodes List<Pulumi.AzureNative.MachineLearningServices.Outputs.AmlComputeNodeInformationResponse>: The collection of returned AmlCompute nodes details.

NextLink string: The continuation token.
Nodes []AmlComputeNodeInformationResponse: The collection of returned AmlCompute nodes details.

nextLink String: The continuation token.
nodes List<AmlComputeNodeInformationResponse>: The collection of returned AmlCompute nodes details.

nextLink string: The continuation token.
nodes AmlComputeNodeInformationResponse[]: The collection of returned AmlCompute nodes details.

next_link str: The continuation token.
nodes Sequence[AmlComputeNodeInformationResponse]: The collection of returned AmlCompute nodes details.

nextLink String: The continuation token.
nodes List<Property Map>: The collection of returned AmlCompute nodes details.

Supporting Types

AmlComputeNodeInformationResponse

NodeId string: ID of the compute node.
NodeState string: State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
Port double: SSH port number of the node.
PrivateIpAddress string: Private IP address of the compute node.
PublicIpAddress string: Public IP address of the compute node.
RunId string: ID of the Experiment running on the node, if any else null.

NodeId string: ID of the compute node.
NodeState string: State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
Port float64: SSH port number of the node.
PrivateIpAddress string: Private IP address of the compute node.
PublicIpAddress string: Public IP address of the compute node.
RunId string: ID of the Experiment running on the node, if any else null.

nodeId String: ID of the compute node.
nodeState String: State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
port Double: SSH port number of the node.
privateIpAddress String: Private IP address of the compute node.
publicIpAddress String: Public IP address of the compute node.
runId String: ID of the Experiment running on the node, if any else null.

nodeId string: ID of the compute node.
nodeState string: State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
port number: SSH port number of the node.
privateIpAddress string: Private IP address of the compute node.
publicIpAddress string: Public IP address of the compute node.
runId string: ID of the Experiment running on the node, if any else null.

node_id str: ID of the compute node.
node_state str: State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
port float: SSH port number of the node.
private_ip_address str: Private IP address of the compute node.
public_ip_address str: Public IP address of the compute node.
run_id str: ID of the Experiment running on the node, if any else null.

nodeId String: ID of the compute node.
nodeState String: State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
port Number: SSH port number of the node.
privateIpAddress String: Private IP address of the compute node.
publicIpAddress String: Public IP address of the compute node.
runId String: ID of the Experiment running on the node, if any else null.