UCL Department of Electronic and Electrical Engineering
Staff/Student Intranet

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