Research Computing

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
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+)	"

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