Computing to Support Research

Stanford Research Computing

Stanford Research Computing (SRC) is a joint effort of the Dean of Research and University IT to build and support a comprehensive program to advance research at Stanford.  Our systems support traditional high-performance computing (HPC), as well as platforms for working with high-risk data and general computing for coursework. We also offer data storage at scale, training, consulting, as well as running the Stanford Research Computing Facility (SRCF). 

The SRC manages Sherlock, Stanford's primary shared compute cluster, available for use by all Stanford faculty and their research teams for sponsored or departmental faculty research.

For high-risk data, there are three alternatives, Nero GCP, Carina On-Prem, and the SCG Genomics cluster, which is jointly supported by SRC and the Stanford Center for Genomics.

SRC also manages FarmShare, a compute environment available to students, faculty and staff. FarmShare is a great resource for coursework-related and general computational tasks.

In addition, SRC partners with Stanford Data Science (SDS) to support Marlowe, Stanford’s NVidia SuperPod.

For more information on all of these systems, see the SRC systems page here.  

A handy Getting Started Guide is also on the site, as well as information on all of our research support services.

For information on all of our research support services, including storage, consulting and training, please see the SRC home page here.