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:Â 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: Â 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