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NXG nodes


We have 4 NeXtScale nx360 M5 nodes on Apocrita with Nvidia Tesla K80 GPU cards.

Count 4
Processor 2 x 16 Core Intel Xeon E5-2683V3 (Broadwell)
Cores/Node 32
TMP Size 125GB
Interconnect Mellanox ConnectX-4 EDR Infiniband
GPU Tesla K80 with 2 x GK210 chip
GPU architecture Kepler
CUDA cores 2496 per chip
GPU Memory 12GiB per chip
CUDA Compute 3.7

Accessing the nxg nodes

Access is permitted to QMUL researchers upon request. Note that access to GPU nodes is not permitted for Undergraduate and MSc students. Please raise a support ticket by emailing with a brief overview of intended use, so that we can verify that the jobs will use the GPUs correctly. More detail is on the using GPUs section.

Half-node jobs

Please ensure that you specify system (as opposed to GPU) RAM carefully when requesting a "half-node job" (i.e. to make use of a single GPU). Remember that CPU memory is per core, so if you are using 1 GPU and 16 CPU cores, setting -l h_vmem=7.5G will request 120GB of system RAM.