Deep learning is one of the fastest-growing segments of the machine learning/artificial intelligence field and a key area of innovation in computing. With researchers creating new deep learning algorithms and industries producing and collecting unprecedented amounts of data, computational capability is the key to unlocking insights from data.

GPUs have brought tremendous value to deep learning research over the past couple of years. In the pursuit of continuing innovation and adopting deep learning for our own goals, NVIDIA engineers built the world’s fastest deskside deep learning machine—DIGITS DevBox. We’re making it easy to get started fast with our Dev Program. US customers can apply to purchase directly from NVIDIA using the DevBox Access Program link below. If you want to build your own, and don’t mind troubleshooting and supporting the software image yourself, you can learn more by registering using the Build Your Own DevBox link.

The DIGITS DevBox combines the world’s best hardware, software, and systems engineering:

Four TITAN X GPUs with 7 TFlops of single precision, 336.5 GB/s of memory bandwidth, and 12 GB of memory per board
NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
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, with superior PCIe topology
The end result is faster turnaround times for experiments, the freedom to explore multiple network architectures, and accelerated dataset manipulation—all in one powerful, energy-efficient, cool, and quiet solution that fits under your desk.

DIGITS DevBox includes:

Four TITAN X GPUs with 12GB of memory per GPU
Asus X99-E WS workstation class motherboard with 4-way PCI-E Gen3 x16 support
Core i7-5930K 6 Core 3.5GHz desktop processor
Three 3TB SATA 6Gb 3.5” Enterprise Hard Drive in RAID5
512GB PCI-E M.2 SSD cache for RAID
250GB SATA 6Gb Internal SSD
1600W Power Supply Unit from premium suppliers including EVGA
Ubuntu 14.04
NVIDIA-qualified driver
NVIDIA® CUDA® Toolkit 7.0
Caffe, Theano, Torch, BIDMach


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