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GCP: Handling Errors When Creating AI Platform Notebooks

GCP: Handling Errors When Creating AI Platform Notebooks

I created a notebook instance using the following as a reference. https://cloud.google.com/blog/ja/topics/developers-practitioners/pytorch-google-cloud-how-train-pytorch-models-ai-platform gcloud notebooks instances create example-instance \ --vm-image-project=deeplearning-platform-release \ --vm-image-family=pytorch-1-7-cu110-notebooks \ --machine-type=n1-standard-4 \ --location=us-central1-a \ --boot-disk-size=100 \ --accelerator-core-count=1 \ --accelerator-type=NVIDIA_TESLA_T4 \ --install-gpu-driver \ --network=default At that time, I was unable to create the notebook instance due to the following error. ERROR: (gcloud.notebooks.instances.create) The zone 'projects/{project}/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'. Therefore, I changed the location from us-central1-a to us-central1-b, and was able to create the instance. ...

How to Delete a Feature Store in GCP Vertex AI

How to Delete a Feature Store in GCP Vertex AI

Overview This is a note on how to delete a feature store in Vertex AI on GCP (Google Cloud Platform). I later noticed that official documentation was available at the following link. https://cloud.google.com/vertex-ai/docs/featurestore/managing-featurestores#delete_a_featurestore Method In this example, I will attempt to delete a feature store called test as shown below. It could be deleted by executing the following command. (I was unable to find a way to delete it from the GUI.) ...