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IBM Deploys Triton AI Supercomputer at University of Miami - insideHPC

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Today the University of Miami (UM) announced that their new Triton supercomputer is installed and helping their researchers explore new frontiers of science. The new supercomputer will be UM's first GPU-accelerated HPC system, representing a completely new approach to computational and data science for the university's campuses. Built using IBM Power Systems AC922 servers, the new HPC system was designed to maximize data movement between the IBM POWER9 CPU and attached accelerators like GPUs. With advances in artificial intelligence and science, we wanted to advance our research with this new generation of supercomputer and enable more discoveries," said Nicholas Tsinoremas, director of the University of Miami Center for Computational Science and vice provost for data and research computing. "Advances in data science and big data drove us to this new technology." The new high-performance system uses the same AI-optimized architecture as the most powerful supercomputers in the world, the U.S. Department of Energy's Summit and Sierra supercomputers. The $3.7 million system was assembled and validated distally by IBM and the University's Center for Computational Science (CCS) personnel. CCS personnel along with UM investigators have been installing and testing software since its arrival to UM's downtown facility last month. Modern computational science requires a system that can handle the demands of Big Data, classic modeling and simulation, as well as the analytical techniques of artificial intelligence," said David Turek, Vice President of Exascale Systems for IBM Cognitive Systems.


Mellanox HDR 200G InfiniBand Accelerates New Generation of World-Wide High-Performance Computing and Artificial Intelligence Supercomputers

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Mellanox Technologies has announced that HDR 200G InfiniBand accelerates the next generation of supercomputers world-wide, enabling higher levels of research and scientific discovery. HDR 200G InfiniBand solutions include the ConnectX-6 adapters, Mellanox Quantum switches, LinkX cables and transceivers and software packages. With its highest data throughput, extremely low latency, and smart In-Network Computing acceleration engines, HDR InfiniBand provides world leading performance and scalability for the most demanding compute and data applications. HDR 200G InfiniBand introduces new offload and acceleration engines, for delivering leading performance and scalability for high-performance computing, artificial intelligence, cloud, storage, and other applications. InfiniBand, a standards-based interconnect technology, enjoys the continuous development of new capabilities, while maintaining backward and forward software compatibility.


Garvan Institute gets new supercomputer for genomic research

ZDNet

The Garvan Institute of Medical Research has announced that it will be receiving a new high-performance computing (HPC) system to support genomic research and analysis. Genomics is the study of information encoded in an individual's DNA, allowing researchers to study how genes impact health and disease, and it is the institute's mission to make significant contributions to medical research that will change the directions of science and medicine and have major impacts on human health. The new supercomputing system, to be delivered by Dell EMC, will be used by Garvan's Data Intensive Computer Engineering (DICE) group. The Garvan Institute is one of Australia's largest medical research institutions, focused specifically on research into cancer, diabetes and metabolism, genomics and epigenetics, immunology and inflammation, osteoporosis and bone biology, and neuroscience. According to Dr Warren Kaplan, chief of informatics at Garvan's Kinghorn Centre for Clinical Genomics, genomics requires significant computational power to analyse the data.


AiMOS, Most Powerful Supercomputer at a Private University, to Focus on AI Research

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Part of a collaboration between IBM, Empire State Development (ESD), and NY CREATES, the eight petaflop IBM POWER9-equipped AI supercomputer is configured to help enable users to explore new AI applications and accelerate economic development from New York's smallest startups to its largest enterprises. Named AiMOS (short for Artificial Intelligence Multiprocessing Optimized System in honor of Rensselaer co-founder Amos Eaton, the machine will serve as a test bed for the New York State - IBM Research AI Hardware Center, which opened on the SUNY Polytechnic Institute (SUNY Poly) campus in Albany earlier this year. The AI Hardware Center aims to advance the development of computing chips and systems that are designed and optimized for AI workloads to push the boundaries of AI performance. AiMOS will provide the modeling, simulation, and computation necessary to support the development of this hardware. "Computer artificial intelligence, or more appropriately, human augmented intelligence (AI), will help solve pressing problems, from healthcare to security to climate change. In order to realize AI's full potential, special purpose computing hardware is emerging as the next big opportunity," said Dr. John E. Kelly III, IBM Executive Vice President.


NCI doubles supercomputer throughput with Power

ZDNet

The supercomputing market is largely dominated by x86 architecture, of which Intel boasts the majority of the market share. According to manager of high performance computing (HPC) systems and cloud services at the National Computational Infrastructure (NCI) Dr Muhammad Atif, when there is only one big vendor, they do their own thing, which results in certain applications or features not enabled or not present in their architecture. As a result, NCI turned to IBM to boost the research capacity of the biggest supercomputing cluster in the Southern Hemisphere, Raijin, which is currently benchmarked at clocking 1.67 petaflops, Atif told ZDNet. NCI, Australia's national research computing service, purchased four IBM Power System servers for HPC in December, in a bid to advance its research efforts through artificial intelligence (AI), deep learning, high performance data analytics, and other compute-heavy workloads. The upgrades added much-needed capacity to the Raijin system, Atif explained.