About Research Computing
Union College is dedicated to providing students and faculty with access to resources that facilitate faculty research and undergraduate student research. With this exposure, students gain valuable research skills that they might not otherwise acquire until later in their academic career.
Our current HPC, hpcc.union.edu, was brought online in September 2026. See below for the total cluster capacity (combined computational power available).
| Resource |
Total Quantity |
| Total Compute Nodes |
4 nodes |
| Total CPU Cores |
768 cores |
| Total System Memory |
2.5 TB |
| Total Shared Storage |
96.2 TB |
| Total Local Disk |
1764 GB across 4 nodes |
| Total GPU Accelerators |
4 NVIDIA H200 NVLs |
Specifications
- 1 Head Node: Dell PowerEdge R470 Server (8c, 64GB RAM)
- Intel Xeon 6 Performance 6507P 3.5G, 8C/16T, 24GT/s, 48M Cache, Turbo, (150W) DDR5-6400
- 2 Dell PowerEdge R670 (128c, 1TB RAM)
- 2 Intel Xeon 6 Performance 6767P 2.4G, 64C/128T, 24GT/s, 336M Cache, Turbo, (350W) DDR5-6400
- 2 Dell PowerEdge R770 Server (64c, 256GBRAM, 2x H200)
- 2 Intel Xeon 6 Performance 6530P 2.3G, 32C/64T, 24GT/s, 144M Cache, Turbo, (225W) DDR5-6400
- 2 NVIDIA H200 NVL
- NFS Storage: Dell PowerEdge R570 Server (32c, 256GB RAM, 12x 12TB HDD)
- Intel Xeon 6 Performance 6731P 2.5G, 32C/64T, 144M Cache, Turbo, (245W) DDR5-6400
Support for Research Computing
Support for research computing is provided by ITS in conjunction with our HPC vendor, Sly Media Networks. Sly Media Networks, LLC is an HPC solution provider and has extensive experience with Unix based systems, open source software, research computing and general Unix/Linux assistance.
Please contact hpcadmin@union.edu for assistance with utilizing our HPC environment, software installation assistance, or general research computing assistance. d Requests for assistance are usually responded to within 4 hours (it may occasionally take longer).
Need Research Computing Resources?
Faculty who are interested in research computing should contact Ellen Yu (yue@union.edu; x6293). Students who are interested in using the Cluster for their student research should discuss the project with their faculty adviser. The faculty adviser should then submit a request to the ITS Help Desk at helpdesk@union.edu.