At GTC, NVIDIA announced a new device called the DIGITS DevBox:
The DIGITS DevBox is a device that data scientists can purchase and install locally. Plugged into a single electrical outlet, this modified Corsair Air 540 case equipped with quad TITAN X (reviewed here) GPUs can crank out 28 TeraFLOPS of compute power. The installed CPU is a Haswell-E 5930K, and the system is rated to draw 1300W of power. NVIDIA is building these in-house as the expected volume is low, with these units likely going to universities and small compute research firms.
Why would you want such compute power?
DIGITS is a software package available from NVIDIA. Its purpose is to act as a tool for data scientists to manipulate deep learning environments (neural networks). This package, running on a DIGITS DevBox, will give much more compute power capability to scientists who need it for their work. Getting this tech in the hands of more scientists will accelerate this technology and lead to what NVIDIA hopes will be a ‘Big Bang’ in this emerging GPU-compute-heavy field.
Ryan interviewed the lead developer of DIGITS in the video below. This offers a great explanation (and example) of what this deep learning stuff is all about: