About Pythia
The Pythia HPC Cluster is designed for GPU-accelerated applications and is available to Booth researchers to run A.I., machine learning, or other computationally intensive tasks.
Currently, Pythia comprises 15 physical nodes with 8 GPUs each (120 GPUs in total).
Hostname |
CPU |
RAM |
GPU Type |
GPUs per node |
|---|---|---|---|---|
pgpu[001-011] |
64C |
2 TB |
H100 (80GB) |
8 |
pgpu[012-015] |
64C |
768 GB |
L40S (48GB) |
8 |
pgpu[016-021] |
64C |
2 TB |
H200 (141GB) |
8 |
The Pythia Computing Cluster is supported by Booth IT. For general assistance, contact the Help Desk helpdesk@chicagobooth.edu. More technical inquiries can be directed to Research Support research.support@chicagobooth.edu. Make sure to start a new email thread for each new support request. It helps us to organize requests.
Service Level Agreement Policy
View our SLA Policy
Storage Management Policy
View our Pythia Storage Policy
Acknowledgement of Use
Please include the following acknowledgement when publishing research done using the computing cluster at Booth.
This research was supported in part by the Pythia computing cluster at The University of Chicago Booth School of Business which is funded by the Office of the Dean.