The Joint Academic Data Science Endeavour (JADE) is an EPSRC funded Tier 2 facility supporting world-leading research in machine learning. The computational hub harnessed the capabilities of the NVIDIA MAXQ Deep Learning System and is comprised of 63 servers, each containing 8 NVIDIA Tesla V100 GPUs linked by NVIDIA's NV link interconnect technology. The JADE facility aims to address the gap between university systems and access to national HPC services. This will drive forward innovation in machine learning and molecular dynamics, 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 UK universities and The Alan Turing Institute, led by the University of Oxford, has been awarded £5 million by the Engineering and Physical Sciences Research Council (EPSRC) to continue the world leading research enabled by the Joint Academic Data science Endeavour (JADE) service. This forms part of a continued investment 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 JADE was the first national facility to support this rapid development. JADE will accelerate the research of world-leading machine learning groups in universities across the UK and national centres such as The Alan Turing Institute and Hartree Centre.
The system design exploits the capabilities of NVIDIA's MAXQ Deep Learning System which has eight of its 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 MAXQ 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, as such JADE will also provide a powerful resource for molecular dynamics researchers within the UK HECBioSim community.