PNY NVidia DGX-1 Deep Learning System with 1 Year Support
PNY NVidia 8-GPU / 512GB DGX-1 Deep Learning System + 1 Year Support
By DPD On 17th Jul 2018
to your specified address. |
Receive SMS with one-hour delivery window
Weekend, timed and European delivery options are available at checkout
Have your parcel delivered by DPD to your specified address. Receive SMS with one-hour delivery windowWeekend, timed and European delivery options are available at checkout
Collect from our Bolton store, BL6 6PE |
Order online, collect from our Bolton store (25-28 Enterprise Park, Middlebrook, Horwich, Bolton, BL6 6PE)
NVIDIA DGX-1 SUPERCOMPUTER+One Year Support
THE WORLD'S FIRST DEEP LEARNING SUPERCOMPUTER IN A BOX
The world’s first purpose-built system for deep learning is the NVIDIA DGX-1 which has fully integrated hardware and software meaning it can be deployed quick and easy. Its ground-breaking performance significantly accelerates training times, making the DGX-1 the first ever deep learning AI supercomputer in a box.
For deep learning success, data scientists and artificial intelligence researchers require accuracy, simplicity and speed, all these aspects are present in the DGX-1 allowing faster training and iteration which ultimately means faster innovation and a faster time to market.
DGX-1 POWERED BY NVIDIA TESLA
Infinite Computing with the DGX-1
NVIDIA Pascal is the groundbreaking architecture that is used in the NVIDIA DGX-1 - powered by the Tesla P100 accelerators with 8 of them interconnected using NVIDIA NVLink. Pascal was designed as the engine of computers that learn, see and simulate the real world, a world that has an infinate appetite for computing.
ANALYZE. VISUALIZE. AI-ACCELERATE
Deep Learning Frameworks
The NVIDIA DGX-1 software stack includes major deep learning frameworks, the NVIDIA DIGITS™ GPU training system, the NVIDIA Deep Learning SDK (e.g. CuDNN, NCCL), NVIDIA Docker, GPU drivers, and NVIDIA CUDA® for rapidly designing deep neural networks (DNN). It’s the ideal stack for accelerating popular analytics and visualization software.
This powerful DGX-1 includes access to cloud management services for container creation and deployment, system updates, and an application repository. The combination of these software capabilities running on Pascal-powered Tesla GPUs allows applications to run 12x faster than with previous GPU-accelerated solutions.
NVIDIA DGX-1 PERFORMANCE
Iterate and Innovate Faster
High-performance training accelerates your productivity, and when using the DGX-1 Supercomputer that means faster time to insight and faster time to market.
NVIDIA DGX-1 Delivers 75x Faster Training
Note: Caffe benchmark with AlexNet, training 1.28M images with 90 epochs | CPU Server uses 2x Xeon E5-2697 v3 CPUs.
NVIDIA DGX-1 Delivers 56x More Performance
CPU is dual socket Intel Xeon E5-2698 v3. 170TF is half precision or FP16.
Deploy Quickly and Simply
The turn key NVIDIA DGX-1 system provides plug-and-play setup and takes you from power-on to deep learning in minutes.
Maximize your Investment
NVIDIA DGX-1 hardware and software support provides access to NVIDIA deep learning expertise and includes cloud management services, software upgrades and updates, and priority resolution of your critical issues.
Stay Ahead of the Competition
Groundbreaking technologies allow the NVIDIA DGX-1 to deliver the fastest solutions for your deep learning training and AI-accelerated analytics workloads.
|Performance||170 teraFLOPs of half-precision (FP16) peak performance|
|GPU Architecture||8x NVIDIA Tesla P100 GPU accelerators based on the next-gen Pascal architecture|
|GPU RAM||16GB next-gen HBM2 memory per GPU|
|CPUs||2x Intel Xeon E5 2698 v4, 20 cores 2.2GHz|
|System RAM||512GB 2133MHz DDR4 ECC Registered|
|Storage||4x 1.92TB SSDs in RAID 0|
|Operating System||Ubuntu Server|
|Chassis||3U 19in rackmount chassis with 3200W PSU|
|CPU Type||Intel Xeon|
|CPU Model||Xeon E5-2698 v4|
|No. of Threads||40|
|Clock Speed||2.2 GHz|
|Burst Frequency||3.6 GHz|
|Motherboard Form Factor|
|Memory Capacity Included|
|Memory Type (ECC)|
|Memory Type (R/U)|
|Memory Speed (Mhz)||DDR4 - 2133|
|Max. Memory Capacity|
|Processor/Motherboard Graphics Chip||8x NVIDIA Tesla P100|
|Discrete GPU Chipset|
|GPU Manufacturing Process|
|GPU Cores/Streams/Execution Units|
|GPU Tensor Cores||N/A|
|Base GPU Speed||1328 MHz|
|Max. GPU Speed||1480 MHz|
|GPU Memory Size|
|GPU Memory Type|
|GPU Memory Clock|
|GPU Memory Bus|
|Discrete GPU Cooler|
|Max. GPU Resolution|
|Storage Drive Included||Yes|
|Storage Drive Type|
|Storage Drive Capacity||4x 1920|
|Network Interface Type|
|Keyboard / Mouse Included||No|
|Remote Control Included||No|
|PSU Efficiency Rating|
|Operating System Included||Yes|
|Operating System||Ubuntu Server Linux OS|
|Dimensions||866 x 444 x 131 (mm WxHxD)|
Please note your statutory rights are not affected.
For further information regarding Scan's warranty procedure please see our terms and conditions
- 36 months
- DOA Period:
- 28 days
- RTB Period:
- 12 months
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.