from azureml.core.compute import ComputeTarget, AmlCompute from azureml.core.compute_target import ComputeTargetException # Choose a name for your CPU cluster cpu_cluster_name = "cpucluster" # Verify that cluster does not exist already try: cpu_cluster = ComputeTarget(workspace=ws, name=cpu_cluster_name) print('Found existing cluster, use it.') except ComputeTargetException: # To use a different region for the compute, add a location='<region>' parameter compute_config = AmlCompute.provisioning_configuration(vm_size='STANDARD_D2_V2', max_nodes=4) cpu_cluster = ComputeTarget.create(ws, cpu_cluster_name, compute_config) cpu_cluster.wait_for_completion(show_output=True)
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