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Overview of Nero Google Cloud Platform (GCP)


Nero GCP is a shared Big Data Computing Platform specifically designed for High Risk Data, developed in collaboration with the School of Medicine (SOM) and Stanford Research Computing.

In addition to tools like Jupyter, Nero GCP researchers can access HIPAA-compliant cloud native products such as BigQuery, Dataflow, Pub/Sub etc.

Make sure to check our Nero GCP cheat sheet

Cost for using Nero GCP

Cloud infrastructure costs are passed through to faculty via PTA# to cover the explicit GCP costs.

You can view your Nero GCP project billing status via the Google Cloud Console.

While Google’s price calculator may provide more specific cost estimates related to your Nero GCP usage, here are some average estimates that may be helpful:

  • Google Cloud Storage: ~ $40/month/TB
  • BigQuery: ~$25/month/TB for storage and $5/TB traversed for query
  • Compute instance:
    • 30GB of RAM, 100GB of Disk, 8vCPU’s, Python & R : ~$100/month.
    • 30GB of RAM, 100GB of Disk, 8vCPU’s, Pytorch , 1 T4 GPU : $ 281.54/month.

Additional Stanford discounts (up to 18%) have not been applied to these estimates.

Prerequisites to Getting Started

Please complete the User Prerequisites before requesting a Nero Google Cloud Project.

Connecting to Nero GCP

You should receive a welcome email with details once your Nero GCP project has been created and is ready to use.

  1. Connect to the Full-Tunnel Stanford VPN (available at
  2. Using an ssh client, ssh to your GCP project using the following command, where <sunetid> should be replaced by your actual SUNet ID, and <pi-sunetid> should be replaced by your pi’s SUNet ID.
$ ssh <sunetid>@<pi-sunetid>

Using Nero GCP

Nero GCP adheres to the Information Security Office’ Minsec Requirements due to its high-risk approved status.

Various restrictions apply, most notably:

* No root access
* Network access restricted