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Research Computing

Research Computing

Owned by Ryan Drescher
Last updated: Jul 01, 2025 by Roger Merrill

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 https://researchcomputing.syr.edu.

  • 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: ischoolit@ot.syr.edu

  • 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:  https://syracuseuniversity.qualtrics.com/jfe/form/SV_79Y0cdCVrtQnh4N



Windows

Linux



Windows

Linux

OS options

Windows 10, Windows Server

Ubuntu Server LTS

Access method

RDP

SSH (command-line only; GUI not supported)

Max storage allocation

15 TB

15 TB

CPU

Up to 28 vCPU

Up to 28 vCPU

RAM

Based on resource pool availability and project requirements; grid options listed above should be considered for large RAM requirements (128GB+)

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Please review the custom VM management policies:  https://su-jsm.atlassian.net/wiki/x/9Q3zC



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: ischoolit@ot.syr.edu

  • Accessible from all SU-managed clients and servers

  • Routine backups