The department maintains 2 sets of servers available for general purpose computing:
- Cycles Servers - suitable for CPU/Memory intensive or non-interactive tasks
- Ionic Cluster (and FAQ) - a cluster intended for batch processing of either CPU or GPU workloads
- Neuronic Cluster - a SEAS-owned and CS-operated cluster intended for batch processing of GPU workloads
All the above systems mount home directories and project space on the CS file server and are accessible via SSH.
For researchers needing physical space for their own systems, the department has two co-location facilities that provide power, cooling, network connectivity, and rack space for rack-mounted equipment:
- Co-location Facilities Overview
- Co-location Facility (CS Building)
- Co-location Facility (Forrestal Campus)
- Co-location Facilities: Access Lists, Rack Assignments, and Other Details (Requires login to CS Guide)
If you have desktop servers that you want to put somewhere other than your own office, the only options in the CS building (other than private lab space) are the areas in 318d and 418d towards the Mudd Library end of the building. In general, 318d is nominally for the systems and networking groups and 418d is for the graphics groups.
Cloud Services
The University has a site agreement in place with Amazon Web Services (AWS). See the following link for information about using AWS and charging it directly to a University chartstring:
If you are interested in using AWS in an academic setting, the University is also a member of AWS Educate. Contact CS Staff for more information.
Related Links
- Facilities Statement
- CS Wiki
- Student Computing Labs (Friend Center)
- OIT Computing Resources
- Research Computing at Princeton
- Loaner Laptop
Archival Links: