NVIDIA Volta DGX-1 V100 Deep Learning AI Server System
NVIDIA DGX-1 with V100: Essential Instrument for AI Research & Deep Learning
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 stabilize. You’ll also be waiting to optimize 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.
NVIDIA DGX-1 removes the burden of continually optimizing your deep learning software and delivers a ready-to-use, optimized 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.
Your AI initiative is critical to your organization’s success, and dependent on a frequently optimized software stack and integrated hardware infrastructure. With today’s rapidly evolving open source software and the complexity of libraries, drivers, and hardware, it’s good to know that NVIDIA’s enterprise grade support and software engineering expertise are behind every DGX-1. This software stack is built on years of R&D, innovation, and deep learning expertise, and maintained by monthly optimized framework releases. Also, NVIDIA's support includes software upgrades and priority resolution of critical issues; you can have peace of mind that your environment is tuned for maximized performance and uptime.
Turn Data into Knowledge
The innovative NVIDIA DGX-1 system lets you uncover patterns in large data sets to reveal new knowledge and insights in hours or minutes.
Stay Ahead of the Competition
NVIDIA DGX-1 is engineered to be the essential instrument that delivers the fastest solutions for your deep learning training and AI-accelerated analytics workloads.
Maximize Your Investment
Get the support you need to improve productivity and reduce system downtime. Hardware and software support gives you access to NVIDIA deep learning expertise and includes cloud management services, software upgrades and updates, and priority resolution of your critical issues.
Official NVIDIA SUMS support packages are available from SCAN for this DGX-1. Click here to view 1-year & 3-year subscription options. Features Education & Inception Pricing available upon request. Please contact us for further information & support.
NVIDIA VOLTA: The New GPU Architecture, Designed to Bring AI to Every Industry
The Core of AI
AI is not defined by any one industry. It exists in fields of supercomputing, healthcare, financial services, big data analytics, and gaming. It is the future of every industry and market because every enterprise needs intelligence, and the engine of AI is the NVIDIA GPU computing platform.
NVIDIA Volta™ is the new driving force behind artificial intelligence. Volta will fuel breakthroughs in every industry. Humanity’s moonshots like eradicating cancer, intelligent customer experiences, and self-driving vehicles are within reach of this next era of AI.
640 Tensor Cores: An Exponential Leap in Performance
Every industry needs AI, and with this massive leap forward in speed, AI can now be applied to every industry. Equipped with 640 Tensor Cores, Volta delivers over 100 Teraflops per second (TFLOPS) of deep learning performance, over a 5X increase compared to prior generation NVIDIA Pascal™ architecture.
New GPU Architecture: Engineered for the Modern Computer
Humanity’s greatest challenges will require the most powerful computing engine for both computational and data science. With over 21 billion transistors, Volta is the most powerful GPU architecture the world has ever seen. It pairs NVIDIA® CUDA® and Tensor Cores to deliver the performance of an AI supercomputer in a GPU.
Next Generation NVLink: Scalability for Rapid Time-to-Solution
Volta uses next generation revolutionary NVIDIA NVLink™ high-speed interconnect technology. This delivers 2X the throughput, compared to the previous generation of NVLink. This enables more advanced model and data parallel approaches for strong scaling to achieve the absolute highest application performance.
Volta-Optimized Software: GPU-Accelerated Frameworks and Applications
Data scientists are often forced to make trade-offs between model accuracy and longer run-times. With Volta-optimized CUDA and NVIDIA Deep Learning SDK libraries like cuDNN, NCCL, and TensorRT, the industry’s top frameworks and applications can easily tap into the power of Volta. This propels data scientists and researchers towards discoveries faster than before.
|Edition||DGX-1 with V100|
|Form Factor||3U Rackmount|
|CPU Type||Intel Xeon|
|No. of Threads||40|
|CPU Model||Dual Xeon E5-2698 v4|
|Clock Speed||2.2 GHz|
|Burst Frequency||3.6 GHz|
|CPU Cooler||Air Cooled|
|CPU Socket||2011-3 x2|
|Motherboard Form Factor|
|Memory Capacity Included||512 GB|
|Memory Type (ECC)|
|Memory Type (R/U)||LRDIMM|
|Memory Speed (Mhz)||DDR4 - 2133|
|Max. Memory Capacity|
|Processor/Motherboard Graphics Chip||N/A|
|GPU Chipset||8x NVIDIA Tesla V100|
|GPU Cores||5120 (40960 Total)|
|GPU Tensor Cores||640 (5120 Total)|
|Base GPU Speed||N/A|
|Max. GPU Speed||1455 MHz|
|GPU Memory Size||16GB (128GB Total)|
|GPU Memory Type||HBM2|
|GPU Memory Clock||1750 MHz|
|GPU Memory Bus||4096 Bit|
|GPU Cooler||Air Cooled|
|SLI Multi-GPU Configuration||No|
|Max. GPU Resolution|
|Graphics Interface||NVLink 2.0|
|Storage Drive Included||Yes|
|Storage Drive Type||SSD|
|Storage Drive Capacity||4x 1.92TB in RAID 0|
|Network Interface Type||
|Keyboard / Mouse Included||No|
|Remote Control Included||No|
|PSU Efficiency Rating|
|Operating System Included||Yes|
|Operating System||Ubuntu Linux Host OS|
|Dimensions||444 x 131 x 866 (mm WxHxD)|
Please note your statutory rights are not affected.
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Date Issued: 21st Jul 2017
The increase in processing speed for computers has opened up new avenues of research and provided deeper insights into solutions for complex problems. Such power has been harnessed to accelerate research into medicine, better predict weather patterns, perform hugely complex calculations for the oil and gas industry, and a whole host more.