The box will feature the Digits software framework, which gives deep-learning researchers a series of tools that will enable them to configure and monitor deep neural networks, as well as process data. The system itself is powered by Ubuntu 14.04, and comes with the following frameworks and libraries installed: Caffe, Torch, Theano, BIDMach, cuDNN v2, and CUDA 7.0.
Other hardware includes an Asus X99 motherboard with an Intel Haswell-E Core i7 processor, a combination of mechanical and flash-based storage that includes 3×3 TB drives in RAID 5, as well as M.2 SATA and SSDs along with a 1500W power supply.
The cost of the system at $15,000 is several times more than what you pay for just the hardware, so it's clear NVIDIA is also charging a premium for its software-driven framework. The chip vendor is now taking registrations for the Digits DevBox.
NVIDIA chief executive Jen-Hsun Huang noted that deep learning is revolutionizing every field, from self-driving cars to medical research. In medical research, he said that GPUs are being used in deep-learning research papers, such as analyzing the rate of growth of cancer cells, understanding gene mutation, and predicting the toxicity of new drugs.