The Joint Academic Data Science Endeavour (JADE) is the largest GPU facility in the UK supporting world-leading research in machine learning. The computational hub will harness the capabilities of the NVIDIA DGX-1 Deep Learning System and comprise of 22 servers, each containing 8 of the newest NVIDIA Tesla V100 GPUs linked by NVIDIA's NV link interconnect technology. The new JADE facility aims to address the gap between university systems and access to national HPC services. This will drive forward innovation in machine learning, identifying new applications and insights in to research challenges.
JADE is a UK Tier-2 resource, funded by EPSRC, owned by University of Oxford and hosted at the Hartree Centre. The hardware was supplied and integrated by ATOS Bull.
A consortium of eight UK universities and The Alan Turing Institute, led by the University of Oxford, has been awarded £3 million by the Engineering and Physical Sciences Research Council (EPSRC) to establish a new computing facility known as the Joint Academic Data science Endeavour (JADE). This forms part of a combined investment of £20m by EPSRC in the UK’s regional Tier 2 high-performance computing facilities, which aim to bridge the gap between institutional and national resources.
JADE is unique amongst the Tier 2 centres in being designed for the needs of machine learning and related data science applications. There has been huge growth in machine learning in the last 5 years, and this is the first national facility to support this rapid development. JADE will accelerate the research of world-leading machine learning groups in Oxford, Edinburgh, KCL, QMUL, Sheffield and UCL and researchers at The Alan Turing Institute.
The system design exploits the capabilities of NVIDIA's DGX-1 Deep Learning System which has eight of its newest Tesla V100 GPUs tightly coupled by its high-speed NVlink interconnect. NVIDIA has clearly established itself as the leader in massively-parallel computing for deep neural networks, and the DGX-1 runs optimized versions of many standard machine learning software packages such as Caffe, TensorFlow, Theano and Torch.
This system design is also ideal for a large number of molecular dynamics applications and so JADE will also provide a powerful resource for molecular dynamics researchers at Bristol, Edinburgh, Oxford and Southampton.
"For the first time, JADE will provide very significant national computing facilities addressing the particular needs of machine learning, one of the fastest growing areas of academic research and industrial application."
Professor Mike Giles, Scientific Computing department at the Mathematical Institute, Oxford University
"These centres will enable new discoveries, drive innovation and allow new insights into today’s scientific challenges. They are important because they address an existing gulf in capability between local university systems and the UK National Supercomputing Service ARCHER. Many universities are involved in the six new centres, and these will give more researchers easy access to High Performance Computing."
Professor Philip Nelson, EPSRC’s Chief Executive