Hyak
Hyak is UW's high performance computing resource. Research Computing Club maintains a large account on Hyak's Klone cluster. This includes standard compute, GPU, and large memory nodes. Hyak is well suited to 'traditional' job-based computing workflows such as molecular dynamics, DFT, and machine learning model training. Most users should start with Hyak before considering cloud resources. Information on using Hyak can be found in the documentation.
Trainings and Office Hours
- Find step-by-step instructions and tutorials for common tools in Hyak's Documentation.
- Hyak training sessions are recorded and available. See Hyak Learning Resource
- Subscribe to subscribe to the Hyak mailing list to receive monthly training announcements.
- Hyak Specialists and RCC Officers hold regular drop in Office Hours. See the UWIT Research Computing Event Calendar to find a time that works for you.
RCC Resources
RCC has the following resources on Klone. Thanks to a block funding allocation from the UW Student Technology Fee committee, we are constantly expanding our Hyak Klone equipment holdings.
| Partition | Nodes | RAM (per Node) | GPUs (per Node) |
|---|---|---|---|
| compute | 16 | 192 GB | N/A |
| cpu-g2 | 3.33 | 1536 GB | N/A |
| cpu-g2-mem2x | 1 | 3072 GB | N/A |
| gpu-2080ti | 1 | 384 GB | 8 |
| gpu-l40 | 1 | 1536 GB | 8 |
| gpu-l40s | 1.25 | 1536 GB | 8 |
| compute-hugemem | 3 | 750 GB | N/A |
| interactive | 1 | 192 GB | N/A |
