NVIDIA Launches World's First Deep Learning Supercomputer - Seite 2

Together, these major technological advancements enable DGX-1 systems equipped with Tesla P100 GPUs to deliver over 12x faster training than four-way NVIDIA Maxwell™ architecture-based solutions from just one year ago.

The Pascal architecture has strong support from the artificial intelligence ecosystem.

"NVIDIA GPU is accelerating progress in AI. As neural nets become larger and larger, we not only need faster GPUs with larger and faster memory, but also much faster GPU-to-GPU communication, as well as hardware that can take advantage of reduced-precision arithmetic. This is precisely what Pascal delivers," said Yann LeCun, director of AI Research at Facebook.

Andrew Ng, chief scientist at Baidu, said: "AI computers are like space rockets: The bigger the better. Pascal's throughput and interconnect will make the biggest rocket we've seen yet."

"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."

Comprehensive Deep Learning Software Suite
The NVIDIA DGX-1 system includes a complete suite of optimized deep learning software that allows researchers and data scientists to quickly and easily train deep neural networks.

The DGX-1 software includes the NVIDIA Deep Learning GPU Training System (DIGITS™), a complete, interactive system for designing deep neural networks (DNNs). It also includes the newly released NVIDIA CUDA® Deep Neural Network library (cuDNN) version 5, a GPU-accelerated library of primitives for designing DNNs.

It also includes optimized versions of several widely used deep learning frameworks -- Caffe, Theano and Torch. The DGX-1 additionally provides access to cloud management tools, software updates and a repository for containerized applications.

System Specifications
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

Optional support services for the NVIDIA DGX-1 improve productivity and reduce downtime for production systems. Hardware and software support provides access to NVIDIA deep learning expertise, and includes cloud management services, software upgrades and updates, and priority resolution of critical issues. More information is available at www.nvidia.com/page/support/dgx1-support.