NVIDIA's Supercomputer For Deep Learning

NVIDIA Announces a Supercomputer Aimed at Deep Learning and AI

Devin Coldewey | April 5, 2016

The sophisticated neural networks underlying systems like Google’s Deep Dream and all manner of interesting experiments require a great deal of computing power. NVIDIA proposes to put all that horsepower in a single box, specially engineered to meet the needs of AI researchers.
NVIDIA already has GPUs specializing in deep learning applications, so this was a logical next step. It’s called the DGX-1, and it’s basically a fancy enclosure for an 8-GPU supercomputing cluster. Not that there’s anything wrong with that. There are 8 Tesla P100 cards in there with 16 GB of RAM each, plus 7 TB of storage for all the raw data you’ll be training your networks on. And there’s something called a NVLink Hybrid Cube Mesh, but I’m pretty sure that’s made up.

This is an interesting technology that @nvidia just released: $130K AI box. Source: http://www.scoopnest.com/user/ubergizmo/717834687427665920

<more at http://techcrunch.com/2016/04/05/nvidia-announces-a-supercomputer-aimed-at-deep-learning-and-ai/; related links and articles: http://www.engadget.com/2016/04/05/nvidia-dgx-1-deep-learning-supercomputer/ (NVIDIA's insane DGX-1 is a computer tailor-made for deep learning. Do you have an extra $129,000 lying around? April 5, 2016) and http://www.nvidia.com/object/deep-learning-system.html (The World's First Deep Learning Supercomputer in a Box)>