NVIDIA DGX -1 with 8x V100 GPUs

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NVIDIA DGX-1 with 8x Volta V100 GPUs

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NVIDIA DGX -1 with 8x V100 GPUs

NVIDIA DGX-1 with 8x Volta V100 GPUs

As an NVIDIA Elite Solutions Provider and NVIDIA Deep Learning Institute provider, Boston can not only provide you with your Deep Learning solution, we are able to train you how to use it to the best of its abilities.

The Challenges of Building a Platform for AI Data scientists depend on computing performance to gain insights and innovate faster, using the power of deep learning and analytics. GPU technology offers a faster path to AI, but building a platform goes well beyond deploying a server and GPU's. AI and deep learning can require a substantial commitment in software engineering. An investment that could delay your project by months as you integrate a complex stack of components and software including frameworks, libraries, and drivers.

Once deployed, additional time and resources are continually needed as you wait for the ever-evolving open source software to stabilise. You'll also be waiting to optimise your infrastructure for performance, along with administrative costs that increase as the system scales. The Fastest Path to Deep Learning Inspired by the demands of AI and data science, NVIDIA® DGX-1™ fast-tracks your AI initiative with a solution that works right out of the box so that you can gain insights in hours instead of months. With DGX-1 you can simply plug in, power up, and get to work, thanks to the integrated NVIDIA deep learning software stack and DGX-1 cloud management services.

Now you can start deep learning training in as little as a day, instead of spending months integrating, configuring, and troubleshooting hardware and software. Effortless Productivity NVIDIA DGX-1 removes the burden of continually optimising your deep learning software and delivers a ready-to-use, optimised software stack that can save you hundreds of thousands of dollars. It includes access to today's most popular deep learning frameworks, NVIDIA DIGITS™ deep learning training application, third-party accelerated solutions, the NVIDIA Deep Learning SDK (e.g. cuDNN, cuBLAS, NCCL), CUDA® toolkit, NVIDIA Docker and NVIDIA drivers.

Revolutionary AI Performance While many solutions offer GPU-accelerated performance, only NVIDIA DGX-1 unlocks the full potential of the latest NVIDIA GPU's like the NVIDIA Tesla® V100, including innovations like next generation NVLink™ and new Tensor Core architecture. With its performance-engineered deep learning software stack, DGX-1 delivers up to three times faster training speed than other GPU-based systems.

With the computing capacity of 25 racks of conventional servers in a single system that integrates the latest NVIDIA GPU technology with the world's most advanced deep learning software stack, you can take advantage of revolutionary performance to gain insights faster than ever, powered by NVIDIA DGX-1.

 

Key Features

GPU - 8x Tesla V100 Performance (GPU FP16) - 1 petaFLOPS 170 teraFLOPS GPU Memory - 128GB total system CPU Dual 20-Core Intel Xeon E5-2698 v4 2.2 GHz NVIDIA Tensor Cores (on V100 based systems) 5,120 NVIDIA CUDA® Cores 40,960 Maximum Power Requirements 3,200 W Storage 4 x 1.92 TB SSD RAID 0 Network Dual 10 GbE, 4 IB EDR Ubuntu Linux Host OS System Weight - 134 lbs Operating Temperature Range 10-35 °C

 

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  • CPU Cores

    20

  • CPU Family

    Intel Xeon E5

  • CPU Manufacturer

    Intel

  • CPU Model

    Intel Xeon processor E5-2698 v4

  • CPU Quantity (Maximum)

    2

  • CPU Series

    Intel Xeon Processor E5-2600 v4

  • CPU Speed

    2.2 GHz

  • GPU Family

    NVIDIA Tesla Series

  • GPU Manufacturer

    NVIDIA

  • GPU Memory Sizes

    128GB

  • GPU Model

    Tesla V100

  • GPU Quantity

    8

  • Manufacturer

    NVIDIA

  • Operating Temperature

    10°C ~ +35°C

  • Product Range

    DGX-1

  • Software (Installed)

    Ubuntu Linux Host OS

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