Nvidia creates a 15B-transistor chip for deep learning

The chip has 15 billion transistors, or three times as much as many processors or graphics chips on the market. It takes up 600 square millimeters. The chip can run at 21.2 teraflops. Huang said that several thousand engineers worked on it for years.
Huang showed a demo from Facebook that used deep learning to train a neural network how to recognize a landscape painting. They then used the network to create its own landscape painting.

He said that deep learning has become a new computing platform, and the company is dealing with hundreds of startups in the space that plan to take advantage of the platform.
Nvidia has also built a 170-teraflop DGX-1 supercomputer using the Tesla P100 chip.

“This is a beast of a machine, the densest computer ever made,” he said.

http://venturebeat.com/2016/04/05/nvidia-creates-a-15b-transistor-chip-for-deep-learning/