Our systems and platforms
02 Mar 2012
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Find out more about our available high performance computing platforms.

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​​Scafell Pike

STFC Hartree Centre

Bull Sequana X1000 supercomputer

  • ~4 Pflop/s | Intel Xeon and Xeon Phi, GPUs

    • 25,728 Intel SkyLake cores

    • 55,680 Intel Xeon Phi cores

  • Cray ClusterStor storage

  • Mellanox Infiniband interconnect

  • Direct liquid cooled computer nodes


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JADE 1 and JADE 2

Oxford University & STFC Hartree Centre ​

JADE 1 | Bull Atos NVIDIA DGX1 

Deep Learning supercomputer​

  • 176 NVIDIA V​100 GPUs |  Deep Learning frameworks
  • 630,784+ CUDA Cores

  • Extreme Factory (XCS and XRV)


JADE 2 | Bull Atos NVIDIA DGX1 Max-Q

Deep Learning supercomputer

  • ​​>500 high-efficiency V100 GPUs with 32GB RAM
  • 63 NVIDIA DGX-MaxQ nodes with 8 V100s per node

​​​​Consortium partners​: University of Edinburgh, University of Southampton, University of Sheffield, University of Bristol, Queen Mary University London, University College London, King's College London, NIVIDIA​​​

Key scientific areas include:​

  • ​Molecular modelling and material science​

  • Life sciences ​​

  • Virtual engineering and simulation​

  • Deep Learning​

Key scientific areas include:​​

  • Joint Academic Data Science Endeavour ​

  • EPSRC funded Tier-2 regional centre

  • National Deep Learning (DL) Service​

  • GPU-​enabled computing ​​​

  • DL-enabled HPC application development​

  • Prototyping and algorithm development​​​​

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​Atos Quantum Learning Machine (QLM)

STFC Hartree Centre

UK’s first quantum computing simulation environment enabling companies to become more resilient to the evolving digital landscape.

Key scientific areas include:​

  • ​Complex logistics and routing problems

  • Life Sciences ​

  • Physics & Engineering  ​
  • Chemistry ​
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Visual Computing Suite

STFC Hartree Centre

Immersive, connected visualisation and VR capabilities for anything from the exploration of big data to testing engineering designs. ​​

Key scientific areas include:​

  • Data analytics
  • Virtual engineering and simulation

  • Molecular modelling and materials science








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