GPU
General GPU servers
Do not use GPU servers unless you are running jobs on the GPUs. If your jobs will run on the CPU you should be using the Compute servers.
We have a few GPU servers that are available for general access. These are available for deep/machine learning with python libraries, or running Matlab code directly on the GPUs.
Most researchers use python virtual environments to run machine/deep learning programs on these servers. I recommend that you read our guide on how to setup python for deep/machine learning. Please contact us if you need any assistance with this.
The servers that you can use are:
| HOSTNAME | CPU | RAM | GPU's |
|---|---|---|---|
| cork.ee.ucl.ac.uk | 2 x Intel(R) Xeon(R) Gold 5120 CPU @ 2.20GHz | 256Gb | 2 x NVidia 16Gb Tesla V100 |
| athens.ee.ucl.ac.uk | 4 x Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz | 256Gb | 4 x NVidia 32Gb Tesla V100 |
| london.ee.ucl.ac.uk | 2 x Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz | 256Gb | 8 x NVidia 32Gb Tesla V100 |
| geneva.ee.ucl.ac.uk | 2 x AMD EPYC 7543 32-Core CPU | 512Gb | 4 x NVidia 80Gb Tesla A100 |
Warning There are certain times of the year when london.ee.ucl.ac.uk is to be used exclusively by MSc IMLS students. Support staff will communicate those restrictions to researchers when they are in effect