Where to run: Ungraded Lab: Intro to Kubeflow Pipelines

Course Q&A Machine Learning Engineering for Production(MLOps) Deploying Machine Learning Models in Production
1

Do I need to run the lab on GCP?
Otherwise, how can I get the specs: CPU to 4, Storage to 50GB, and the memory to at least 4GB (8GB recommended)?
Is that I shall get a VM with the recommended specs, and run the C4_W3_Lab_1_Kubeflow_Pipelines.ipynb within that VM instance?
Thanks.

2

Hi these specs should be specified in the Docker, not for GCP. You need to install Docker first in order to run the kind.

.ipynb is used to run and generate pipeline yaml file so that it can be uploaded to the Kubeflow Pipeline UI later.