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Quantum TXR550-512R

The Word's Fastest Deep Learning System Right at Your Desk

GPUs have provided groundbreaking performance to accelerate deep learning research with thousands of computational cores and up to 100x application throughput when compared to CPUs alone. Exxact has developed the Deep Learning DevBox, featuring NVIDIA GPU technology coupled with state-of-the-art PCIe peer to peer interconnect technology, and a full pre-installed suite of the leading deep learning software, for developers to get a jump-start on deep learning research with the best tools that money can buy.


  • Full P2P communication between 8x PCIe devices
  • Supports 1x Intel Xeon E5-2600 v3/v4 Haswell/Broadwell EP processors (Socket R3)
  • 8x NVIDIA Tesla K40/K80/P40/P100 GPUs
  • NVIDIA DIGITS™ software providing powerful design, training, and visualization of deep neural networks for image classification
  • Pre-installed standard Ubuntu 14 w/ Caffe, Torch, Theano, BIDMach, cuDNN, OpenCV, CUDA Toolkit, and MXNet
  • Google TensorFlow software library
  • Automatic software update tool included
  • A turn-key server with true PCIe peer to peer topology

       > Learn More about Deep Learning DevBox


Model Number Quantum TXR550-512R
Form Factor 5.5U
Power 750W Redundant power supply + 4x 1200W (Total 4800W) power supplies for GPUs
CPU 1x Intel Xeon E5-2600 v3/v4 Haswell/Broadwell EP Processors (up to 145W TDP)
Memory Up to 512GB DDR4 ECC Registered memory (RDIMM), up to 2400 MHz
GPUs / Coprocessors 8x NVIDIA Tesla K40/K80/P40/P100 GPUs
I/O ports 1x VGA, Dual Gbit LAN, 4x USB 3.0 ports (2 Front / 2 Rear), 2x USB 2.0 ports (Rear), 2x Serial (1 rear, 1 header)
Storage 8x 2.5" hot-swappable SAS/SATA/SSD bays
Expansion Slots 9x PCI-E 3.0 x16 (double-width) 
1x PCI-E 3.0 x8 (in x16) Half-height Half-length
Operating System (OS)

Ubuntu 14

Software NVIDIA Digits, Caffe, Torch, Theano, BIDMach, cuDNN, OpenCV, NVIDIA® CUDA® Toolkit, Google TensorFlow, and MXNet as standard. Automatic software update tool included. Custom software installs possible on request


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