HPC cluster 2

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The department of Diagnostic Radiology manages another five servers colloquially referred to as the "GPU cluster 2".

They were set up and handed over in April 2022. The rack is physically located at the laboratory building, LG3/F.

Hardware Specifications

The servers are typically called nodes. There are four GPU computing nodes and one windows storage node.

Name Public IP address Physical CPU cores GPU RAM(GB) Storage (TB) Storage mount point URL
gpu1 48 A30x4 128 5.2 / NA
gpu2 48 A30x4 128 5.2 / NA
gpu3 48 A30x4 128 5.2 / NA
gpu4 48 A30x4 128 5.2 / NA
storage1 18 NA 16 100 exported as nfs to /home/[username]/share NA

Realtime performance and usage metrics can be found at HPC Diagnostics and Statistics


Users are currently expected to use the GPU cluster in the following ways:

  1. Shell access to the compute nodes
    • Users get their own user-specific home folder.

A few introductory guides are available to help users. Other software may be installed upon request, but users should note they can manually install any software in their own home directory without needing admin privileges.

  • To use the shell access features of the GPU cluster, users need to get a server account.
  • All users must be on the HKU network / VPN to access anything.

Choosing a server

Refer to the specs table for IP address information. storage1 is not intended for direct shell access, so password login for non-admins is disabled. The storage node transparently makes its storage capacity available to all nodes as the /home/[username]/share directory.

For running code and scripts

Choose any of the 4 gpu servers. Optionally check the local resource usage with command top, ps or nvidia-smi.

For file transfer/storage

It doesn't matter which server you choose, since the user home folder (/home/[username]/share) is a nfs mounted from the storage server. So it is suggested all of your files or folders should be saved in this directory. To evaluate available storage see the df or du commands.


  • Please use a strong password and protect it.
  • Non-anonymous patient data should be stored in encrypted format.