The teaching GPU cluster consists of a head node and multiple GPU compute nodes. The head node is a CPU-only machine, while each compute node has multiple GPUs. The cluster is managed by the Slurm workload manager. To use the GPU compute nodes, users must submit jobs through the head node, tsubmit.math.private.uwaterloo.ca. The table below describes all nodes in the teaching Slurm cluster.
Head node
|
Node name |
slurm-pt2-02.math.private.uwaterloo.ca |
|---|---|
|
alias name |
tsubmit.math.private.uwaterloo.ca |
| #Nodes | 1 |
| CPU model (2) | Intel(R) Xeon(R) Gold 6136 CPU @ 3.00GHz |
| #Cores/Node | 36 |
| Threads per core | 2 |
| System Memory/Node | 93 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 6000 Ada | 5 | 48 GB |
| gpu-pt1-05 | AMD EPYC Turin 9255@ 3.25GHz |
24 | 2 | 768 GB | NVIDIA L40S ADA | 3 | 48 GB |
| gpu-pt1-06 | AMD EPYC 9355@ 3.5GHz |
32 | 2 | 566 GB | NVIDIA RTX pro 6000 ADA | 1 | 96 GB |