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devCUBE™ H₂O

sysGen devCUBE™ H2O – Watercooled Deep Learning Machine

High end deep learning power with up to 4x water cooled NVIDIA® GTX 1080 GPUs and dual Intel® Xeon® CPUs stays cool and quiet with a complete water cooling system.

Deep Learning is one of the fastest growing and maybe the most exciting area in computing. Advanced neural networks and learning mechanism need absolute high end performance, but not everyone is interested in a loud and big server-rack system. The devCUBE is one of the best deskside solution for deep learning. As a complete system with all required software preinstalled you just need to plug in and start you learning network

Deep Learning is one of the fastest growing and maybe the most exciting area in computing. Advanced neural networks and learning mechanism need absolute high end performance, but not everyone is interested in a loud and big server-rack system. The devCUBE is one of the best deskside solution for deep learning and we are proud to present its even cooler brother:
The devCUBE™ H2O – a sysGen Original

With latest hardware and pre-installed software options the devCUBE stands for an easy entrance and ready-to-go solution for deep learning.



Key Features

Up to 4 NVIDIA Geforce GTX 1080 with Pascal Chipset

NVIDIA’s new flagship GeForce GTX 1080 is one of the most advanced graphics card ever created. Discover unprecedented performance and power efficiency driven by the new NVIDIA Pascal™ architecture. The devCUBE H2O delivers the power of 4 of these high end cards.


  • 2560 CUDA® Cores
  • 8 GB GDDR5X
  • 320 GB/sec Memory Bandwidth
  • 1733MHz Boost Clock


Water Cooled Hardware

The relevant hardware of the devCUBE H2O is integrated in an advanced water-cooling system. With high quality components from experienced brands we can grant a low maintenance system for silent solution


  • One cycle for all components
  • High quality components only from the best brands
  • Multiple radiators and fans for best cooling and silence
  • Integrated through experienced sysGen-Technicians


Best prepared for Deep Learning

To enable the best possible start in the world of deep learning, we configure and install all relevant software. For an easy user-interface we use Ubuntu as OS. Next to all the frameworks you need, we pre-install and configure the whole NVIDIA package for deep learning and high performance computing. Don't waste time with the software, start researching now.

  • Ubuntu OS
  • NVIDIA DIGITS – Interactive Deep Learning GPU Training System
  • NVIDIA CUDA Deep Learning Neural Network library (cuDNN)*
  • NVIDIA CUDA Toolkit
  • Deep learning frameworks – e.g. Caffe, Torch, Theano and BIDMach

*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".



High End Hardware

GPUs alone don't make a workstation. sysGen selected newest components like two Intel Xeon CPUs and support for up to 512GB DDR4 memory. To ensure you never run out of storage space, the devCUBE H2O can take up to 8 disks plus an ultra-fast M.2 SSD


  • Dual Intel® Xeon® Processor E5-26xx v4 CPUs for example E5-2687W v4 (30M Cache, 3.00 GHz)
  • Up to 512GB DDR4 ECC 2400MHz memory (LR-DIMM / RegDIMM)
  • Up to 6x SATA3 3.5'' / 2.5'' Drives + M.2 SSD

Datasheet
€ 2.388,03 (€ 2.841,76 inkl. MwSt.)
Z10-D8 WS Mainboard
  • Complete watercooling 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 with a total of 32GB GDDR5X Memory and 10240 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
 

€ 2.388,03 (€ 2.841,76 inkl. MwSt.)
Z10-D8 WS Mainboard

sysGen HPC/DL Power Workstation SYS-devCUBE-H₂O-B1

High end computing (HPC) and deep learning (DL) power with up to 4x water cooled NVIDIA® GPUs and 2 Intel® Xeon® CPUs, Cool and Quiet - Completely water-cooled.

The devCUBE is one of the best deskside solution for HPC and AI/DL and we are proud to present its even cooler powerfull brothers: The devCUBE H2O group – all sysGen Originals


  • Complete watercooling 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 1080ti or Tesla Pascal GPUs
  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

Datasheet/Datenblatt / Overview Deep-Learning