GCP deep learning VM

Suggested next steps

• Set up the Cloud SDK.
  The Cloud SDK (gcloud) is the preferred command line tool for interfacing with your instance. Download it here. 
• (Optional) Copy files to your VM from your local machine.
  You can use the gcloud tool to upload files to your machine.

  
  $
  
  
  gcloud compute scp --project agile-magnet-273523 --zone us-east1-d --recurse <local file or directory> tensorflow-1-vm:~/
  
  
  
  
  
  

• Access the running Jupyter notebook.
  We've already started a Jupyter notebook instance on the VM for your convenience. In order to get link that can be used to access Jupyter Lab run the following command.

  
  $
  
  
  gcloud compute instances describe --project agile-magnet-273523 --zone us-east1-d tensorflow-1-vm | grep googleusercontent.com | grep datalab
  
  
  
  
  
  

• Assign a static external IP address to your VM instance
  An ephemeral external IP address has been assigned to the VM instance. If you require a static external IP address, you may promote the address to static. Learn more 

Documentation

• Official Documentation 
• StackOverflow: Deep Learning VM 
• Google Group: Deep Learning VM 

Support

If you have non-framework related issues, you can bring them up at the Deep Learning VM Stack Overflow .

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