The NVIDIA DGX-1 is a supercomputer that’s designed especially for deep learning. The “turnkey system” has GPU accelerators that can deliver the equivalent throughput of 250 x86 servers, plus an array of deep learning software, development tools and hardware. All together, the system can deliver “12X faster training than four-way NVIDIA Maxwell architecture-based solutions from just one year ago,” according to a NVIDIA press release.
“Artificial Intelligence is the most far-reaching technological advancement in our lifetime,” said Jen-Hsun Huang, CEO and co-founder of NVIDIA. “It changes every industry, every company, everything. It will open up markets to benefit everyone. Data scientists and AI researchers today spend far too much time on home-brewed high performance computing solutions. The DGX-1 is easy to deploy and was created for one purpose: to unlock the powers of superhuman capabilities and apply them to problems that were once unsolvable.”
A new class of intelligent machines will be borne that will learn, see and perceive the world as humans do. It delivers unprecedented levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.
“Microsoft is developing super deep neural networks that are more than 1,000 layers,” said Xuedong Huang, chief speech scientist at Microsoft Research. “NVIDIA Tesla P100’s impressive horsepower will enable Microsoft’s CNTK to accelerate AI breakthroughs.”
As I mentioned in my first post of the year 2016 will be the year of AI.
To your success