Upcoming Workshops

Introduction to AWS and Google Cloud Workshops

NEW HANDS-ON SKILLS SESSIONS FOR GCP AND AWS 

LEARN MORE & REGISTER

Online | May 17 and May 26, 2022

ARE YOU LOOKING FOR HIGH-LEVEL, HANDS-ON EXPERIENCES USING THE CLOUD WHILE GETTING EXPOSURE TO CLOUD SERVICES AND TERMINOLOGY?

Internet2 is launching CLASS Essentials with half-day virtual, interactive sessions to introduce the “what” and “how” of cloud computing. There will be two sessions: Google Cloud Platform (GCP) and Amazon Web Services (AWS) – sign up for one, or both.

You can expect an immersive learning experience on the basic concepts of cloud computing that will leave you more knowledgeable about computing, provisioning storage, and building research workflows in the cloud. 

CLASS Essentials for GCP – Register

May 17, 2022

noon – 4 p.m. ET

CLASS Essentials for AWS Register

May 26, 2022

noon – 4 p.m. ET

Lower Data Storage Rates Announced for FY22

Data Storage Platform rates for both Active and Archive, consumption and subscription levels will be reduced in FY22.

  • Consumption of less than 100TB will be reduced to $12 per TB Active, and $5 per TB Archive.
  • Subscription (100TB increments) will be reduced to $600 per each 100TB Active, and $250 per 100TB Archive increments.

The Data Storage Platform Rates can be viewed in WUSTL Box.

Please visit the RIS Service Desk if you have questions, would like to increase your quota, or change to a different usage model.

Previous Workshop Recordings and Resources

Recordings of the RIS Virtual Workshops on Scientific Compute can be found in WUSTL Box and the RIS User Manual.


These seminars and workshops  provided an opportunity for Researchers, their Staff, and Student Researchers to become familiar with the RIS group, services such as storage, compute, applications and consulting resources through workshops in high-performance GPU parallel processing development and use.   It is intended that researchers can pick and choose the topics according to their interest and relative experience. 

The end goal was to provide the relevant skills to introduce researchers into using NVIDIA GPUs using python with an introduction to Data Science and Genomics.

Technical trainers from Research Infrastructure Services and NVIDIA

Some were hands-on using the WashU high-performance compute and storage environment.