An example of how to launch a training ZenML pipeline on a GPU accelerated Google Cloud VM

zenml_gcp_gpu_orchestration.py

training_pipeline.run(
    backend=OrchestratorGCPBackend(
        preemptible=True,  # reduce costs by using preemptible instance
        machine_type='n1-standard-4',
        gpu='nvidia-tesla-k80',
        gpu_count=1,
    )
)