XENON CTO, Dr Werner Scholz’s presentation on “Object recognition and computer vision using MATLAB and NVIDIA Deep Learning SDK” is now available on line.
XENON also exhibited their portfolio of Deep Learning Solutions.

NVIDIA^® DGX-1

The NVIDIA^® DGX-1 system specifications include:

• Up to 170 teraflops of half-precision (FP16) peak performance
• Eight Tesla P100 GPU accelerators, 16GB memory per GPU
• NVLink Hybrid Cube Mesh
• 7TB SSD DL Cache
• Dual 10GbE, Quad InfiniBand 100Gb networking
• 3U – 3200W

 

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XENON DEVCUBE

XENON^® with NVIDIA^® have also developed their own Deep Learning solution the DEVCUBE which contains four TITAN X GPUs with 7 TFlops of single precision, 336.5GB/s of memory bandwidth with 12GB of memory per board.

XENON’s DEVCUBE also features:

• NVIDIA^® DIGITS software providing powerful design, training, and visualisation
• Pre-installed standard Ubuntu 14.04 w/ Caffe, Torch, Theano, BIDMach, cuDNN v2, and CUDA 7.0
• A single deskside machine that plugs into standard wall plug socket

 

All this results into:

• Faster turnaround times
• The freedom to explore multiple network architectures
• Accelerated dataset manipulation
• An all in one powerful, energy-efficient, cool, and quiet solution

 

XENON^® DEVCUBE specifications:

• Intel^® X99 Platform
• Intel^® i7-5960X/3.0GHz/8Cores/20MB/LGA2011
• All-in-One Liquid Cooling
• 64GB DDR4-2400 Memory
• Up to 4x GTX 980/Titan X GPU’s
• 1x 240GB SSD
• 1x 480GB SSD
• 3x 3TB 3.5” SATA 7200RPM 64MB Enterprise Drives
• Core X9 CUBE Chassis with 1500W PS

 

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XENON’s DEVCUBE is available now.

DIGITS software package is now available in version 3

For additional information regarding XENON’s DEVCUBE or NVIDIA^® DGX-1, please Contact Us or call 1300 888 030 for your enquiries.

Talk to a Solutions Architect