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Technical Computing Benefits with IBM FlashSystem

Technical computing apps are expanding the computing frontier. For your business to gain insight from data and transform it into competitive advantage, your data driven apps must operate at high availability and peak performance.

Access this white paper to understand why high performance computing (HPC) systems generate and consume massive amounts of data that are hungry for high storage performance, and explore the technical computing benefits offered from this vendor’s comprehensive flash portfolio. Read on now to learn more.

These are also closely related to: "Storage for High-performance Computing"

  • How Engineering Enterprises Can Improve Productivity, Collaboration and Innovation

    Data has become a critical asset across many industries, but has also become increasingly unwieldy. According to recent research, enterprises today store over 7 Exabytes of new data every year, and the amount of data generated now in just 2 days equals all the data generated from the dawn of civilization until year 2003.

    Access this informative paper that shines light on the challenges of data and storage management, and how deploying simulation data management (SDM) software can help maximize business value. Find out how to best leverage simulation data, with helpful hints from this resource, including:

    • Deciphering engineering simulation data
    • The high-level simulation data management challenges
    • Why high performance computing (HPC) and storage are vital components
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  • Best Practices for Big Data and Big File Storage

    Big data storage architecture must take scaling, I/O balancing mechanisms, high performance capabilities and large file storage in to account.

    In this expert e-guide, examine large file storage with respect to big data, including their importance as well as how to address the special challenges associated with big file data. Additionally, explore other factors to be considered when designing storage for big data infrastructures such as which analytic processes must deliver results and how fast big data storage needs to be.

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