ITS Research Computing

The central research computing team offers several options for large-scale computing needs. You can find more information and reach out directly to that team at

  • Grid computing (14,000+ cores, 20TB RAM avaiable)
  • High-performace and High-throughput computing clusters (25,000+ cores, 100TB+ RAM available)
  • GPU-enabled nodes (CUDA and OpenGL support)

iSchool-hosted platforms

We currently offer the following services which we will set up and host for you. By default, they will be limited to SU users with a netid and external access will be limited to SU VPN users. Other scenarios will be considered on a case-by-case basis. Requests:

  • RStudio Server
  • JupyterHub
  • MongoDB

Custom Virtual Machines

For small to medium-sized research efforts, researchers may request individual Windows or Linux virtual machines hosted in a SU datacenter. To make a request, please contact Technology Services using the following form:

OS optionsWindows 10, Windows ServerUbuntu Server LTS
Access methodRDP

SSH (command-line only; GUI not supported)

Max storage allocation15 TB15 TB
CPUUp to 28 vCPUUp to 28 vCPU
RAMBased on resource pool availability and project requirements; grid options listed above should be considered for large RAM requirements (128GB+)"

Please review the custom VM management policies:

Research data storage

For small to medium size datasets (<5TB) we can provision storage space for you on the 'IST-Filer' workspace, which is an extension of the 'G' drive. Requests:

  • Accessible from all SU-managed clients and servers
  • Routine backups
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