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google-cloud-platformjupyter-notebookgpuquota

Can not create Jupyter notebook instance in Google Cloud Platform

I am trying to create a simple Jupyter notebook in Google Cloud Platform with GPU:

  • Name: PyTorch
  • Region: us-west1 (Oregon)
  • Zone: us-west1-b
  • Operating System" Debain 9
  • Environment: PyTorch 1.4 (with Intel (R) MKL-DNN/MKL)
  • Machine type: n1-standard-4 (4vCPUs, 15GB RAM)
  • GPU type: NVIDIA Tesla K80
  • Number of GPUs: 1
  • Install NVIDIA GPU driver automatically for me
  • Boot disk type: Standard Persistent Disk
  • Boot disk size in GB: 100
  • Data disk type: Standard Persistent Disk
  • Data disk size in GB: 100
  • Google-managed-key
  • Network: default
  • Subnetwork: default
  • External IP (Automatic)
  • Access to JupyterLab (Service account)
  • Use Compute Engine default service account

After I press "Create" it returns to a list of instances. It shows loading and after I refresh disappears. When I create a Jupiter notebook without GPU it succeeds. My guess is that I need to request a GPU quota. For this, I go to Quotas page and see that Compute Engine API for NVIDIA K80 GPUs is "1 of 24 quotas are reaching limit". When I press all quotes, I see that Current Usage is 0 for everyone 7-day peak usage is 1 fo for us-west1 and Limit is 1. I can not select any checkbox.

How can I resolve this problem? Thank you!

Solution

  • To edit your quota, you must have the serviceusage.quotas.update permission, which is by default in: Owner, Editor, and Quota Administrator roles. If that's set, I may ask a stupid question, but is your account a premium one? As far as I know, you cannot modify quotas on a free trial account.