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No longer just a niche for scientific applications, High Performance Computing architectures and designs underpin the rapid growth in Deep Learning innovation and the wider arena of intensive computing in all its forms. Parallelism - the hallmark of HPC - increases throughput and efficiencies in data-intensive analytics solutions and multiplies the speed of compute-intensive deep learning algorithms inside today's advanced AI applications. In this session, we will discuss co-creating integrated solutions that leverage parallelism at all levels to deliver the most competitive intensive computing platforms, ready to adapt and scale as required.
Speaker: Ian Goodfrey