James

That made it work, thanks Lak. (By the way for anyone else at this stage, you might need to run `export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python` to get it to work.) I then tried...

1) Done, submitted a pull request 2) I do have an NVIDIA T4 GPU attached but it's still failing with the same error:  3) AutoML pipeline ended up completing...

I'm getting the same error when trying to run hyperparameter tuning: `google.api_core.exceptions.ResourceExhausted: 429 The following quota metrics exceed quota limits: aiplatform.googleapis.com/custom_model_training_nvidia_t4_gpus`

When navigating to console.cloud.google.com/quotas it says that I need to upgrade to a paid account:  I'm still using a managed service (I tried creating a user-managed one a few...

So I still can't create a user-managed notebook with a GPU:  Have tried US-west, -east and -central. Sometimes I also get this error: 

Thanks for the prompt response Lak. Unfortunately I don't think it's that simple, unless I've just misunderstood you... See the screenshot below. My project ID appears to be correct, as...

@lakshmanok see my in-line responses: **Could you check whether the BUCKET is in the same region as the BigQuery dataset?** So originally my BQ datasets were located in the US...