Overview of Nero Google Cloud Platform (GCP)

General

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.

Nero GCP researchers can access HIPAA-compliant cloud native products such as BigQuery, Dataflow, Pub/Sub etc.

All Nero instance configurations come with a JupyterLab setup with commonly used tools such as, Python, conda, R, Rstudio, and SAS, and Stata (user provides license).

There is no Lmod environment as used in Sherlock or Carina.

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

Prerequisites to Using Nero

Please review the Requirements for Using Nero before requesting a Nero Google Cloud Project.

Cost for using Nero GCP

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

Stanford has negotiated discounts from the published Google Cloud Platform rates; while the rates vary between services, PIs can expect a discount of at least 18%.

Please review this page for more cost details Nero GCP Costs.