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CPU Cluster (2 login nodes, 17 compute nodes)

All servers have:

  • Two (2) Intel Xeon Gold 6148/6248 CPUs - total of 40 cores @ 2.3GHz.
  • Twelve (12) 32GiB ECC DIMMs
  • Two (2) 480GiB M2-SSDs
  • Two (2) 3.84TiB SSDs
  • Two (2) SFP28 ports
  • RJ45 port for shared BMC/system connectivity


The end-of-life date for these servers is Aug-2023 (15) and Aug-2024 (4).

GPU/Graphical workloads

The current GPU nodes reach end-of-life in April-2021.  They will either be eWasted or repurposed.

The next generation of GPU hardware will be delivered as a virtualization platform, delivering high-end graphics capabilities as well as virtualised accelerator capabilities.  The latter will deliver capabilities that allow researchers involved in development and testing of workflows.  The initial purchase will only involve three GPU cards, with upgrades only likely if high-end graphical workload requirements increase.  JCU is likely to continue to purchase access to GPU resources from UQ (via QCIF) for computational GPU workloads.

Network Connectivity

Red text is used to identify connectivity that isn't redundant.  All connectivity is ethernet/IP based.


The JCU HPC cluster has been built with a 30:1 blocking regime - i.e., the interconnect between switches is ~1/30th of that which is required for tightly couple MPI workloads.  This is one of the reasons why our job management system has been configured with an aim to reject all (not run any) multi-node MPI jobs.

Storage Infrastructure

Researchers do not have direct access to the systems/devices mentioned below.  Redundancy exists for all storage connectivity - physical connectivity is double the max. bandwidth figures mentioned below.


NOTE:  Researchers with a ARDC/QCIF allocation should be aware that your allocation is housed at QCIF.  The medici platform at JCU has been purchased and configured to allow filesystem like access to your data at QCIF from our HPC cluster hardware.  If all data held at QCIF were to be uncompressed, we'd have over 2PiB of research data there - our medici service can only cache about 20% of that (free space requirements must be met) at any given time.

Redundancy Notes

There is no server level redundancy built into HPC server infrastructure (NAS server, medici server, login nodes, compute nodes, GPU nodes).  When a node fails, all jobs running on the failed node will be killed.