Each run can use a maximum of one GPU, which is usually an Nvidia T4. The time limit for consecutive usage is 12 hours. The availability of the GPU resource is not guaranteed. The details about how to use Google Colab are available here.
The University of Leicester student/staff can use two HPCs for free: Alice and Sulis.
It has six GPU nodes. Each has 128GB RAM, 28 CPU cores and 2 x Nvidia Tesla P100 GPU cards.
According to here, access to Alice needs to be applied. Access to Alice is organized in terms of projects and you need to join a project in order to have access. (1) Find out the project you can join by asking your colleagues or supervisor. (2) Ask your supervisor to send the IT desk an email to ask them to grant you access.
Documentation of Alice, e.g., file system and hardware architecture, is available here.
It has 30 GPU nodes. Each node has 3 NVIDIA A100 40 GB RAM passively-cooled GPUs; 2 x AMD EPYC 7742 (Rome) 2.25 GHz 64-core processors per node.
Access to Sulis can be applied by following the instruction here, which also provide documentation of Sulis, e.g., file system and hardware Specifications. When applying the account for Sulis, an ssh key is required, which can be generated via the Terminal (for Linux or MacOS users) or Command Prompt (for Windows users). Section ssh-related also provides some details on this topic. username of your account should be your university username, e.g., ab123. Do not use putty the first time log in, it will skip the QR code and you cannot scan it.
The details about how to use the HPCs for training ML models are available here.
The available resources in Sulis can be found here.