NVIDIA Launches World's First Deep Learning Supercomputer

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NVIDIA Launches World's First Deep Learning Supercomputer


NVIDIA today unveiled the NVIDIA DGX-1, the world's first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence. The NVIDIA DGX-1 is the first system designed specifically for deep learning -- it comes fully integrated with hardware, deep learning software and development tools for quick, easy deployment. It is a turnkey system that contains a new generation of GPU accelerators, delivering the equivalent throughput of 250 x86 servers.

The DGX-1 deep learning system enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of intelligent machines that 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.

NVIDIA designed the DGX-1 for a new computing model to power the AI revolution that is sweeping across science, enterprises and increasingly all aspects of daily life. Powerful deep neural networks are driving a new kind of software created with massive amounts of data, which require considerably higher levels of computational performance.

"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."

The NVIDIA DGX-1 system specifications include:
Up to 170 teraflops of half-precision (FP16) peak performance
Eight Tesla P100 GPU accelerators, 16GB memory per GPU
NVLink Hybrid Cube Mesh
7TB SSD DL Cache
Dual 10GbE, Quad InfiniBand 100Gb networking
3U - 3200W

General availability for the NVIDIA DGX-1 deep learning system in the United States is in June, and in other regions beginning in the third quarter direct from NVIDIA and select systems integrators.

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