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GPU workstations for HPC, AI, Big Data

The NVIDIA DGX Station is the most powerful preconfigured HPC-, AI- and Data Analytics Workstation.

  1. Intel Xeon E5-2698 v4, 20 Cores @ 2.2GHz
  2. 256GB DDR4-2133 ECC RDIMM
  3. Storage:
    • Data: 3x 1,92TB SATA SSD RAID 0
    • OS: 1x 1,92TB SATA SSD
  4. 4x watercooled NVIDIA ™ Tesla V100 SXM2 GPUs
  5. 2x 10Gbit RJ45 LAN Ports
  6. 3x DisplayPort, 2x eSATA, 2x USB 3.1, 4x USB 3.0

Buyers of a DGX station get full access to the NVIDIA GPU Cloud, which provides easy access to a comprehensive catalog of GPU-optimized software. The NVIDIA Cloud features performance-engineered containers with all the top deep learning frameworks such as TensorFlow, PyTorch, MXNet, and more, tuned, tested, certified, and maintained by NVIDIA.

GPU accelerated analytics and interactive visualization solutions provide deeper insights, enable dynamic correlation, and deliver predictive outcomes at superhuman speed, accuracy and scale.

The NVIDIA GPU Cloud also includes third-party managed containers for HPC applications, and NVIDIA containers for HPC visualization.

This product is eligible for a NVIDIA Education rabate. If you are eligible for an education rebate or want to have it checked, please press the blue button.

If you do not belong to a university or similar educational institution, please click on the orange Add button in the left column.

DGX Station Education Inquiry Form


Datasheet
€ 52.259,25 (€ 62.188,51 inkl. MwSt.)
+

Z10-D8 WS Mainboard
  • Complete water-cooling System - silent high-end performance
  • Ready to Go System - completely configured, incl. all required Software
  • NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification

  1. Up to 4x NVIDIA GTX 1080 Ti with a total of 44GB GDDR5X Memory and 14336 CUDA Cores
  2. Dual Intel Xeon E5-2687W v4 CPUs with up to 3.5 GHz each
  3. Highest level of silent computing with a system wide, low maintenance water-cooling system
  4. Pre-Installed and Pre-configured software package for deep learning
  5. Pre-installed Ubuntu with Caffe, Torch, Theano, BIDMach, cuDNN and CUDA
    Pre-requisite: Before sysGen can install cuDNN , you have to successfully register on the NVIDIA website as a system developer for "Deep Learning" and sign the NVIDIA "CUDA Software Distribution Agreement for Toolkit cuDNN".
  6. Up to 512GB ECC DDR4 LR-DIMM / RegDIMM Memory
  7. Space for 6x SSDs / HDDs, 1x M.2
  8. 2 x Gigabit LAN via Intel® I210-AT
€ 2.832,36 (€ 3.370,51 inkl. MwSt.)
 

Z10-D8 WS Mainboard

High end deep learning power with 4x NVIDIA® GTX 1080 TI GPUs and 1x Intel® Core™ i7-6850K / 3.6 GHz Processor stays cool and quiet with a complete water-cooling system.

The devCUBE is one of the best deskside solutions for deep learning and we are proud to present its even cooler brother: The compact devCUBE-C H2O – a sysGen Original.


  • Complete water-cooled System - silent high-end performance
  • Ready to Go System - completely configured, incl. all required Software
  • NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
  1. 4x NVIDIA GPU
  2. Intel Core i7-6850K / 3.6 GHz
  3. High level of silent computing with a system wide, low maintenance water-cooling system
  4. Pre-Installed and Pre-configured software package for deep learning
  5. Pre-installed Ubuntu with Caffe, Torch, Theano, BIDMach, cuDNN and CUDA
    Pre-requisite: Before sysGen can install cuDNN, you have to successfully register on the NVIDIA website as a system developer for "Deep Learning" and sign the NVIDIA "CUDA Software Distribution Agreement for Toolkit cuDNN".
  6. 64GB Non-ECC DDR4
  7. Storage:
    1x SSD Samsung 850 PRO 512GB SATA III
    3x HDD WD Red 6TB SATA III 6Gb/s
  8. 2 x Gigabit LAN
€ 10.120,38 (€ 12.043,25 inkl. MwSt.)

  • Complete System, completely configured, incl. all required Software, Ready to Go
  • NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification

€ 1.460,44 (€ 1.737,92 inkl. MwSt.)