Nvidia Thread

Discussion in 'Hardware Components and Aftermarket Upgrades' started by Dr. AMK, Jul 4, 2017.

  1. Dr. AMK

    Dr. AMK The Strategist

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    NVIDIA Powers Top 13 Most Energy Efficient Supercomputers
    https://insidehpc.com/2017/06/nvidia-powers-top-13-energy-efficient-supercomputers/

    Today Nvidia announced that the NVIDIA Tesla AI supercomputing platform powers the top 13 measured systems on the new Green500 list of the world’s most energy-efficient high performance computing systems. All 13 use NVIDIA Tesla P100 data center GPU accelerators, including four systems based on the NVIDIA DGX-1 AI supercomputer.

    NVIDIA also released performance data illustrating that NVIDIA Tesla GPUs have improved performance for HPC applications by 3X over the Kepler architecture released two years ago. This significantly boosts performance beyond what would have been predicted by Moore’s Law, even before it began slowing in recent years.

    Additionally, NVIDIA announced that its Tesla V100 GPU accelerators — which combine AI and traditional HPC applications on a single platform — are projected to provide the U.S. Department of Energy’s Summit supercomputer with 200 petaflops of 64-bit floating point performance and over 3 exaflops of AI performance when it comes online later this year.


    NVIDIA GPUs Fueling World’s Greenest Supercomputers
    The Green500 list, released today at the International Supercomputing Show in Frankfurt, is topped by the new TSUBAME 3.0 system, at the Tokyo Institute of Technology, powered by NVIDIA Tesla P100 GPUs. It hit a record 14.1 gigaflops per watt — 50 percent higher efficiency than the previous top system — NVIDIA’s own SATURNV, which ranks No. 10 on the latest list.

    Spots two through six on the new list are clusters housed at Yahoo Japan, Japan’s National Institute of Advanced Industrial Science and Technology, Japan’s Center for Advanced Intelligence Project (RIKEN), the University of Cambridge and the Swiss National Computing Center (CSCS), home to the newly crowned fastest supercomputer in Europe, Piz Daint. Other key systems in the top 13 measured systems powered by NVIDIA include E4 Computer Engineering, University of Oxford, and the University of Tokyo.

    Systems built on NVIDIA’s DGX-1 AI supercomputer — which combines NVIDIA Tesla GPU accelerators with a fully optimized AI software package — include RAIDEN at RIKEN, JADE at the University of Oxford, a hybrid cluster at a major social media and technology services company and NVIDIA’s own SATURNV.

    “Researchers taking on the world’s greatest challenges are seeking a powerful, unified computing architecture to take advantage of HPC and the latest advances in AI,” said Ian Buck, general manager of Accelerated Computing at NVIDIA. “Our AI supercomputing platform provides one architecture for computational and data science, providing the most brilliant minds a combination of capabilities to accelerate the rate of innovation and solve the unsolvable.”

    “With TSUBAME 3.0 supercomputer our goal was to deliver a single powerful platform for both HPC and AI with optimal energy efficiency as one of the flagship Japanese national supercomputers,” said Professor Satoshi Matsuoka of the Tokyo Institute of Technology. “The most important point is that we achieved this result with a top-tier production machine of multi-petascale. NVIDIA Tesla P100 GPUs allowed us to excel at both these objectives so we can provide this revolutionary AI supercomputing platform to accelerate our scientific research and education of the country.”

    Volta: Leading the Path to Exascale

    NVIDIA revealed progress toward achieving exascale levels of performance, with anticipated leaps in speed, efficiency and AI computing capability for the Summit supercomputer, scheduled for delivery later this year to the Oak Ridge Leadership Computing Facility, a DOE Office of Science User Facility at Oak Ridge National Laboratory.

    Featuring Tesla V100 GPU accelerators, Summit is projected to deliver 200 petaflops of performance — compared with 93 petaflops for the world’s current fastest system, China’s TaihuLight. Additionally, Summit is expected to have strong AI computing capabilities, achieving more than 3 exaflops of half-precision Tensor Operations.

    AI is extending HPC and together they are accelerating the pace of innovation to help solve some of the world’s most important challenges,” said Jeff Nichols, associate laboratory director of the Computing and Computational Science Directorate at Oak Ridge National Laboratory. “Oak Ridge’s pre-exascale supercomputer, Summit, is powered by NVIDIA Volta GPUs that provide a single unified architecture that excels at both AI and HPC. We believe AI supercomputing will unleash breakthrough results for researchers and scientists.”

    Volta: Ultimate Architecture for AI Supercomputing

    To extend the reach of Volta, NVIDIA also announced it is making new Tesla V100 GPU accelerators available in a PCIe form factor for standard servers. With PCIe systems, as well as previously announced systems using NVIDIA NVLink™ interconnect technology, coming to market, Volta promises to revolutionize HPC and bring groundbreaking AI technology to supercomputers, enterprises and clouds.

    Specifications of the PCIe form factor include:

    • 7 teraflops double-precision performance, 14 teraflops single-precision performance and 112 teraflops half-precision performance with NVIDIA GPU BOOST technology
    • 16GB of CoWoS HBM2 stacked memory, delivering 900GB/sec of memory bandwidth
    • Support for PCIe Gen 3 interconnect (up to 32GB/sec bi-directional bandwidth)
    • 250 watts of power
    NVIDIA Tesla V100 GPU accelerators for PCIe-based systems are expected to be available later this year from NVIDIA reseller partner and manufacturers, including Hewlett Packard Enterprise (HPE).

    HPE is excited to complement our purpose-built HPE Apollo systems innovation for deep learning and AI with the unique, industry-leading strengths of the NVIDIA Tesla V100 technology architecture to accelerate insights and intelligence for our customers,” said Bill Mannel, vice president and general manager of HPC and AI at Hewlett Packard Enterprise. “HPE will support NVIDIA Volta with PCIe interconnects in three different systems in our portfolio and provide early access to NVLink 2.0 systems to address emerging customer demand.”
     
    Last edited: Mar 11, 2018
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  2. Dr. AMK

    Dr. AMK The Strategist

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    HPC AND SUPERCOMPUTING
    The HPC and Supercomputing Track features sessions from industry experts on topics including simulation, visualization, and deep learning. GTC recordings focus on how computational and data science are used to solve traditional HPC problems in healthcare, weather, astronomy, and other domains.
    Capture.PNG
     
    Last edited: Mar 11, 2018
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  3. Dr. AMK

    Dr. AMK The Strategist

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    Yes, some people are funny but they understand what is he talking about, and some don't have any idea. The Intel/AMD alliance doesn't really come from nothing.
     
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  4. Support.2@XOTIC PC

    Support.2@XOTIC PC Company Representative

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    I mean...they're youtube comments.
     
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  5. Eurocom Support

    Eurocom Support Company Representative

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    What is their "smartness" rating? Do they even care about us/users that want MXM3 based GPU solutions and not disposable BGA? Don't we try to abolish all of the kingdoms and turn them to democracies?
     
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  6. hmscott

    hmscott Notebook Nobel Laureate

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    Yeah, that's the point. You can usually tell by the comments how people feel about the subject / person of the video, and whether they are for or against them by checking the top upvoted comments.

    Nvidia isn't at all highly rated given those responses. And, that's supposed to be a professional HPC event.

    The popular sentiment runs contrary to the claim that Nvidia has been "crowned the smartest company in the world right now", that's simply the proclamation of paid PR. :)
     
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  7. Support.2@XOTIC PC

    Support.2@XOTIC PC Company Representative

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    You have a higher opinion of youtube commenters than I do, but point taken.
     
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  8. Dr. AMK

    Dr. AMK The Strategist

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    I'm not trying to do anything in this thread, except collecting all about NVIDIA news, achievements and technologies, they are smart but I'm not sure that they are the smartest. I'm not with or against, all Technology Owners has advantages and disadvantages, we have to be smart and seek for what is good for ourselves and do our own ROI calculations, no matter what is the technology.
     
    Last edited: Nov 15, 2017
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  9. Dr. AMK

    Dr. AMK The Strategist

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    Last edited: Nov 15, 2017
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  10. Support.2@XOTIC PC

    Support.2@XOTIC PC Company Representative

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    To be fair, it's possible to be smart and not care about people at the same time. I mean, it's not preferred, but it's possible. A lot of what they're doing is not directly related to consumer products and seems pretty smart.
     
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