Tag Archives: IBM

  • Scaling for 5G: From Data Centers to the Edge

    It’s tempting to think of fifth-generation wireless (5G) as just an incremental improvement. 5G is the number that comes after 4G/LTE after all, but the impacts promise to be epic. 5G networks will reach speeds as high 20 Gbits per second, support 1 million devices per square kilometer, and provide 1 msec latency, unleashing the…

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  • Keys to Attracting the Newest HPC Talent – Post-Millennials

    For engineers and scientists growing up in the 80s, the current state of HPC makes perfect sense. We were schooled in Fortran, Pascal, and Macro-assembler, and frequently had to wait in line for a terminal to complete programming assignments. For Generation X and the Boomers preceding us, it was nearly impossible to graduate in a…

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  • Practical Tips for HPC and AI Container Management

    Containers, and Docker, in particular, are having a dramatic impact on how organizations build applications. While the technology behind containers isn’t new, containers have found themselves at the heart of the DevOps movement – a new way of building scalable cloud services. Fueled by agile development methods, and the need to deploy “always-on” services, developers…

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  • European Institutions, IBM Partner to Accelerate Joint Research and Education in Quantum Computing

    LAUSANNE, Switzerland, July 3, 2019 — IBM announced today at the World Conference of Science Journalists the expansion of the IBM Q Network in Europe to include additional universities and an international research organization. These institutions are collaborating with IBM Q to accelerate joint research in quantum computing and develop curricula to help train students for careers that will be…

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  • Worldwide High Performance Computing 2018 Total Market Model: Server Revenue Shares

    This Intersect360 Research report presents vendor revenue and market share for servers in the High Performance Computing (HPC) market for 2018. Intersect360 Research defines HPC as the use of servers, clusters, and supercomputers—plus associated software, tools, components, storage, and services—for scientific, engineering, or analytical tasks that are particularly intensive in computation, memory usage, or data…

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