• Sagar Rawal

    This decision will be appreciated by IT folks around the world looking to be able to sample the benefits of the supercomputing power granted by NVIDIA’s Tesla co-processors.

    As a long time customer of Dell servers, I would not have been able to justify the expense for a more high-end/specialized server, but the R720 would be a ‘no-brainer’ to purchase!

  • Sumit Gupta

    Sagar

    This is precisely the reason why this is such a big deal.   This new server makes it easy for every IT department to deploy GPUs.   

    Its perfect timing too.   This server comes when a wide variety of popular applications are GPU-accelerated.   Examples:
    - Ansys, Abaqus, and Nastran for manufacturing, 
    - bio-sciences applications like AMBER, GROMACS, NAMD, 
    - and finally widely used applications like MATLAB and Mathematica.

    See http://www.nvidia.com/teslaapps for full list.

    What GPU-accelerated application do your users use?

    Sumit

  • Sagar Rawal

    My users currently use life-sciences applications such as AMBER, TeraChem, and GPU-Blast for a wide variety of research projects.

    They run decently on an array of servers containing 2×8 core Xeon servers; but I am excited to sample the 2x to 650x speed ups purported in the marketing materials & white papers I have read.

    I am amazed at how comprehensive the NVIDIA ecosystem has become, from my gaming PC at home, to my tablet the travels with me to work, all the way to my future servers that will be crunching solutions to time sensitive & mission critical problems, they all contain NVIDIA’s reliable and high performance hardware!