GPU Technology Conference 2016 -- NVIDIA today unveiled the NVIDIA DGX-1, the 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.
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The NVIDIA DGX-1 deep learning system is built on NVIDIA Tesla P100 GPUs, based on the new NVIDIA Pascal GPU architecture. It provides the throughput of 250 CPU-based servers, networking, cables and racks -- all in a single box.
The DGX-1 features four other breakthrough technologies that maximize performance and ease of use. These include the NVIDIA NVLink high-speed interconnect for maximum application scalability; 16nm FinFET fabrication technology for unprecedented energy efficiency; Chip on Wafer on Substrate with HBM2 for big data workloads; and new half-precision instructions to deliver more than 21 teraflops of peak performance for deep learning.
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.
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
Availability
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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GPU Technology Conference 2016 -- NVIDIA today unveiled the NVIDIA DGX-1, the first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence. 
