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NVIDIA Launches World’s First Deep Learning Supercomputer

NVIDIA Launches World’s First Deep Learning Supercomputer Research Paper On Poverty Owl Homework Help Dissertation Les Hommes De La Renaissance

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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. Site That Australian Students Turn To For Professional Essay Writing Services Phd Thesis Of Nabataean “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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How Do I Make My College Essay Stand Out 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.

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Annotated Bibliography Interview The NVIDIA DGX-1 system specifications include:

•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 here.

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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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