NVidia's DIGIT2

DIGITS 2

For that reason, DIGITS 2's biggest update is that it can now build a single neural net using up to four GPUs; in the past, you could only use one per neural net. When using four GPUs, the training process for a neural net is up to 2x faster than on a single GPU. Of course, you may then say: build four different neural nets and see which one is the best. But it's not quite that simple.

A researcher may begin by building four different neural nets with different parameters, but based on the same learning data, and figure out which one is best, and then from there on out improve the parameters until the ideal setup is found, at which point only a single neural net needs to be trained.

Nvidia's DIGITS is a software package with a web-based interface for Deep Learning, where scientists and researchers can start, monitor, and train DNNs. It comes with various Deep Learning libraries, making it a complete package. It allows researchers to focus on the results, rather than have to spend heaps of time figuring out how to install various libraries and how to use them.