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NVIDIA Launches World’s First Deep Learning Supercomputer

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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.

“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.

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Aqa A Psychology Coursework Help 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. Professional Writing Research Best Resume Writing Services 2014 Washington Dc

Polyu Phd Thesis The NVIDIA DGX-1 system specifications include:

Helping Charity Essay •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

Distinctively Visual Shoe Horn Sonata Essay Dj Premier Production Resume Peacemaker 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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