diff --git a/examples/quickstart/configs/training_aws.yaml b/examples/quickstart/configs/training_aws.yaml index 48e6abd8bfa..a6defc08198 100644 --- a/examples/quickstart/configs/training_aws.yaml +++ b/examples/quickstart/configs/training_aws.yaml @@ -4,6 +4,9 @@ settings: parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.70.0-py3.11-aws" skip_build: True # If you switch this to False remove the parent_image requirements: requirements.txt + environment: + WANDB_DISABLED: "true" + orchestrator.sagemaker: instance_type: ml.m5.4xlarge diff --git a/examples/quickstart/configs/training_azure.yaml b/examples/quickstart/configs/training_azure.yaml index b7112016e20..f126792f56d 100644 --- a/examples/quickstart/configs/training_azure.yaml +++ b/examples/quickstart/configs/training_azure.yaml @@ -4,6 +4,8 @@ settings: parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.70.0-py3.11-azure" skip_build: True requirements: requirements.txt + environment: + WANDB_DISABLED: "true" # Uncomment the following lines to specify the accelerator for your azureml orchestrator # orchestrator.azureml: # mode: "compute-instance" diff --git a/examples/quickstart/configs/training_default.yaml b/examples/quickstart/configs/training_default.yaml index 53e5b5c4a57..7f9122511d8 100644 --- a/examples/quickstart/configs/training_default.yaml +++ b/examples/quickstart/configs/training_default.yaml @@ -2,6 +2,8 @@ settings: docker: requirements: requirements.txt + environment: + WANDB_DISABLED: "true" # Model Control Plane configuration model: diff --git a/examples/quickstart/configs/training_gcp.yaml b/examples/quickstart/configs/training_gcp.yaml index 47b4cce6b2b..eadd19f3616 100644 --- a/examples/quickstart/configs/training_gcp.yaml +++ b/examples/quickstart/configs/training_gcp.yaml @@ -4,6 +4,8 @@ settings: parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.70.0-py3.11-gcp" skip_build: True requirements: requirements.txt + environment: + WANDB_DISABLED: "true" # Uncomment the following two lines to specify the accelerator for your vertex orchestrator # orchestrator.vertex: # node_selector_constraint: ["cloud.google.com/gke-accelerator", "NVIDIA_TESLA_P4"]