If your client VPN ( OpenVPN) does not work on your MAC, you can install the 30 days trial version of Viscosity.
https://www.sparklabs.com/viscosity/download/
After the installation, you can use our OpenVPN configuration file to activate the VPN
( https://cim.rhul.ac.uk/files/2020/10/RHUL-ISG-SecTest.ovpn )
It is available for older versions of the OS as well.
| OS X 10.9 | Viscosity 1.7.11 |
|---|---|
| OS X 10.10 | Viscosity 1.7.14 |
| OS X 10.11 | Viscosity 1.8.4 |
| macOS 10.12 | Viscosity 1.8.6 |
Postgraduate students can log in our Tesla GPU server in order to run Tensorflow or Pytorch code via jupyter notebook
Log in using Campus credential (User Ex.: AEOU001)
( Help requests can be submitted to our helpdesk CIM helpdesk )
After the login the system will show a dropdown menu with two options:
Choose your preferred environment and SPAWN the container.
Containers can be stopped using the Control Panel button (top right)
Notebook content will persist after a stop/restart.
Each container has 2 Cores and 4 Gb of RAM with 25 Gb of storage.
GPU RAM has not a hardcoded limitation and needs a precise setup before running code against a large dataset, but as rule of thumbs 3 Gb of VRAM are always available.