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Workstation High Performance Computing / Deep Learning

Deep Learning


Deep Learning is one of the fastest growing territories of the computer industry and probably the fastest growing one in the field of Machine Learning.

Deep Learning uses multi-layered Dynamic Neural Networks (DNNs) to learn a high level of abstraction and representation based on data such as images, sounds or text. In contrast to classical machine learning, where every feature and pattern recognition had to be written by hand, neural networks use algorithms and large amounts of data (big data) to teach themselves. The application areas vary from science such as biology or physics, to applications in industry and trade, to the automotive vehicle.

You can also get our Deep Learning Server ready to use, with pre-installed and pre-configured software:

  • Pre-Installed and Pre-configured software package for deep learning
  • 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".

HPC Cluster


High-Performance Computing (HPC) is used for scientific, technical and commercial tasks in the calculation, modeling and simulation of complex systems and the processing of large amounts of data. sysGen has been a successful solution provider for HPC clusters for more than 20 years and had supplied the most powerful HPC clusters with GPU coprocessors in the German-speaking countries.

Today’s groundbreaking scientific discoveries are taking place in high performance computing (HPC) data centers. However, installing and upgrading HPC applications on those shared systems comes with a set of unique challenges. Challenges that decrease accessibility, limit users to old features, and ultimately lower productivity.

sysGen supports the following HPC Cluster types:

  • HPC Clusters for scientific solutions
  • Clusters for Big Data Solutions
  • HPC Clusters for Deep Learning solutions
  • Clusters for Clouds
  • Clusters that do all above in one

The Personal Supercomputer for Leading-Edge AI Development

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.

€ 71.206,79 (€ 84.736,08 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
€ 2.772,24 (€ 3.298,97 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
€ 9.905,57 (€ 11.787,63 inkl. MwSt.)

Kurzbeschreibung:

  • 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

€ 1.429,44 (€ 1.701,03 inkl. MwSt.)

Kurzbeschreibung:

  • 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

€ 1.429,44 (€ 1.701,03 inkl. MwSt.)