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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.
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.
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
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.
*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".
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
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