As AI and deep learning uses skyrocket, organizations are finding they are running these systems on similar resource as they do with high-performance computing (HPC) systems – and wondering if this is the path to peak efficiency. Ostensibly AI and HPC architectures have a lot in common, as AI has evolved into even more data-intensive machine learning (ML) and deep learning (DL) domains (Figure 1). Workloads often require multiple GPU systems as a cluster, and share those systems in a coordinated way among multiple data scientists. Secondly, both AI and HPC workloads require shared access to data at a high level of performance and communicate over a fast RDMA-enabled network. Especially in scientific research, the classic HPC systems nowadays tend to have GPUs added to the compute nodes to have the same cluster suitable for classic HPC and new AI/DL workloads.

At SC19, Excelero announced that the Science and Technology Facilities Council (STFC) has deployed a new HPC architecture to support computationally intensive analysis including machine learning and AI-based workloads using the NVMesh elastic NVMe block storage solution. Done in partnership with Boston Limited, the deployment is enabling researchers from STFC and the Alan Turing Institute to complete machine learning training tasks that formerly took three to four days, in just one hour – and other foundational scientific computations that researchers formerly could not perform. The Science and Technology Facilities Council is a part of U.K. Research and Innovation (UKRI) and supports pioneering scientific and engineering research by over 1,700 academic researchers worldwide on space materials and life sciences, nuclear physics and much more. In benchmark testing we quickly saw that our Flash-IO Talyn systems with the Excelero NVMesh software delivered a significant performance ...

IBM will analyse data from everything to surgical procedures to favourite films will be analysed to make children's hospital visits as stress-free as possible. IBM Watson's cognitive computing power is set to be deployed in a UK NHS hospital for the first time in an effort to use artificial intelligence and big data to improve patient experience -- by using a mobile app. It isn't the first time IBM Watson has been applied to healthcare, but it's the first time the technology is set to be used in the UK. Alder Hey Children's NHS Foundation Trust in Liverpool will collaborate with the Science and Technology Facilities Council's (STFC) Hartree Centre -- an institution which aims to accelerate the application of high performance computing and data science -- and IBM Watson in an effort to develop the UK's first'cognitive' hospital. The multi-year project will see Alder Hey apply IBM Watson's cognitive computing capabilities to analyse data gathered on patient feedback about their hospital experience.