The teaching GPU cluster consists of a head node and three GPU compute nodes. The head node is a CPU-only machine while each compute node has multiple GPUs. The cluster is controlled by the Slurm workload manager. To use the compute nodes you must submit jobs via the head node, namely tsubmit.math.private.uwaterloo.ca. Undergraduate students registered in non-CS Math courses may use these GPU servers. CS students should use CS-provided resources.
Head node
| Node name | slurm-pt2-01.math.private.uwaterloo.ca, alias tsubmit.math.private.uwaterloo.ca |
|---|---|
| #Nodes | 1 |
| CPU model (2) | Intel(R) Xeon(R) Gold 6150 CPU @ 2.70GHz |
| #Cores/Node | 36 |
| Threads per core | 2 |
| System Memory/Node | 188 GB |
GPU compute nodes
| Node names | CPU model (2 per node) | #Cores | Threads per core |
System Memory |
GPU type | # GPUs | GPU memory per/device |
|---|---|---|---|---|---|---|---|
| gpu-pt1-02, gpu-pt1-03 |
Intel(R) Xeon(R) E5-2650v4 @ 2.20GHz |
24 | 2 | 256 GB | NVIDIA GeForce GTX 1080ti | 8 | 12 GB |
| gpu-pt1-04 | AMD(R) EPYC(R) Milan 7643 @ 2.3 GHz |
96 | 2 | 1 T | NVIDIA RTX A6000 Ada | 5 | 48 GB |
| gpu-pt1-05 | AMD EPYC Turin 9255@ 3.25GHz |
24 | 2 | 768 GB | NVIDIA L40S ADA | 3 | 48 GB |