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Thread: DGX Station, personal supercomputer for AI development, Nvidia Corporation, Santa Clara, California, USA

  1. #1

    DGX Station, personal supercomputer for AI development, Nvidia Corporation, Santa Clara, California, USA

    Developer - Nvidia Corporation

    Home page -

    NVIDIA DGX Systems -

    Nvidia DGX-1 on Wikipedia

  2. #2

    Announcing DGX Systems

    Published on May 15, 2017

    NVIDIA DGX Systems are designed to give data scientists the most powerful tools for AI exploration-tools that go from your desk to the data center to the cloud.

  3. #3

    Nvidia DGX Station, world's most powerful desktop, a Supercomputer at the office

    Published on Nov 28, 2017

    Nvidia DGX Station is the world’s first and fastest personal supercomputer for leading-edge AI development at Supercomputing developers desk, it has the computing capacity of four server racks in a desk-friendly package, using less than one twentieth the power. It’s the only personal supercomputer with four Nvidia Tesla V100 GPUs, next generation Nvidia NVLink, and new Tensor Core architecture. DGX Station delivers 3X the training performance of today’s fastest workstations, with 480 TFLOPS of water cooled performance (3X Faster Than the Fastest Workstations) and FP16 precision. It's designed to be whisper quiet at one tenth the noise of other deep learning workstations, it’s designed for easy experimentation at the office.

  4. #4

    NVIDIA's largest ever GPU for Artificial Intelligence - DGX-2 512GB, 2 PetaFLOPS

    Published on Mar 27, 2018

    Recorded: March 27th, 2018
    The largest GPU ever built
    2 PetaFLOPS
    Presented by CEO Jensen Huang at GTC 2018

  5. #5

    Explore the world’s largest GPU: NVIDIA DGX-2

    Published on Mar 28, 2018

    Learn how we’ve created the first 2 petaFLOPS deep learning system, using NVIDIA NVSwitch to combine the power of 16 V100 GPUs for 10X the deep learning performance.

  6. #6

    The making of the NVIDIA DGX Station

    Published on Jun 4, 2018

    What inspired our team to build the DGX Station? Get an inside look into how this deep learning workstation was designed for developers and researchers to effortlessly bring their deep-learning initiatives to the office. We packed this portable and whisper-quiet system with twice the performance of the most powerful workstations, so AI researchers can carry out their life’s work from their desks.

  7. #7

    NVIDIA DGX Station personal AI supercomputer

    May 25, 2020

    The personal supercomputer for leading-edge

    Your data science team depends on computing performance to gain insights, and
    innovate faster through the power of deep learning and data analytics. Until now,
    AI supercomputing was confined to the data center, limiting the experimentation
    needed to develop and test deep neural networks prior to training at scale. Now
    there’s a solution, offering the power to experiment with deep learning while
    bringing AI supercomputing performance within arm’s reach.
    Groundbreaking AI, at Your Desk
    Now you can get the computing capacity of 400 CPU's, in a workstation that
    conveniently fits under your desk, drawing less than 1/20th the power. NVIDIA®
    DGX Station™ delivers incredible deep learning and analytics performance,
    designed for the office and whisper quiet with only 1/10th the noise of other
    workstations. Data scientists and AI researchers can instantly boost their
    productivity with a workstation that includes access to optimized deep learning
    software and runs popular analytics software.
    Get Started in Deep Learning, Faster
    DGX Station breaks through the limitations of building your own deep learning
    platform. You could spend a month or longer, procuring, integrating, and testing
    hardware and software. Then additional expertise and effort are needed to optimize
    frameworks, libraries, and drivers. That’s valuable time and money spent on
    systems integration and software engineering that could be spent training and
    NVIDIA DGX Station is designed to kickstart your AI initiative, with a streamlined
    plug-in and power-up experience that can have you training deep neural networks
    in just one day.

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