The GEMS Platform

The GEMS Platform

The GEMS Platform is a secure web-based platform for exploring, sharing, and analyzing data, workflows, and analysis results. A subscription is required to access all GEMS subscriber features, functionality, and tools. GEMS users can transfer data in and out of GEMS using Globus transfer tools.

 


GEMS makes use of virtualized storage and compute components located at the Minnesota Supercomputing Institute. Access to GEMS is available to anyone with a freely available Globus ID. https://www.globus.org/  After you have a Globus ID and a GEMS subscription, you can connect to GEMS here: https://gems.agroinformatics.org

Subscription

Access to GEMS is granted by subscription fee paid on an annual basis. Prices are subject to change with the University's fiscal year, and subscriptions automatically renew.


 

 

A breakdown of the FY22 costs for GEMS services is as follows:


 

SERVICE NAME

Lab

Advanced

Professional Enterprise

Internal Cost

$1,651.56

$2,163.84 $2,676.12 $3,188.40
External Cost $4,797 $6,390 $7,983 $9,576

Features

 

  • 10 users

  • 4 concurrent sessions

  • 8 vCPUs

  • 2 TB home dir storage

  • 2 TB reg data storage

  • 9 hr tech support

 

  • 20 users

  • 8 concurrent sessions

  • 16 vCPUs

  • 3 TB home dir storage

  • 4 TB reg data storage

  • 10 hr tech support

 

  • 30 users

  • 12 concurrent sessions

  • 24 vCPUs

  • 4 TB home dir storage

  • 6 TB reg data storage

  • 11 hr tech support

  • 40 users

  • 16 concurrent sessions

  • 32 vCPUs

  • 5 TB home dir storage

  • 8 TB reg data storage

  • 12 hr tech support

 

Additional Notes

vCPUs oversubscribe the physical hardware 4:1 (i.e., 2x oversubscription * 2x hyperthreads per core). Some applications benefit from hyperthreading, but many do not; more than 28 vCPUs per virtual machine is guaranteed to leverage hyperthreading. 

 

 

Contact the MSI helpdesk to enroll today:

Email help@msi.umn.edu

 
Documentation

Documentation and Frequently Asked Questions about GEMS can be found here

 

https://gems.agroinformatics.org

 
Publications

https://rdmi.uchicago.edu/papers/08162017165531_paperwilgenbusch081617.pdf

 

GEMS is a partnership between the College of Food, Agricultural and Natural Resources Sciences (CFANS) and the Minnesota Supercomputing Institute (MSI) at the University of Minnesota. | GEMS™, GEMSOpen™, GEMShare™, and GEMSTools™ are registered trademarks of the University of Minnesota. | © 2022 GEMS™. All rights reserved.