The supercomputer behind the world's fastest deep learning neural networks

NVIDIA DGX-1 with Tesla V100 System Architecture

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The jaw-dropping computing demands of deep learning are proving to be troublesome, even to deep learning frontrunners like Baidu and Google.  The evolution of neural networks is simply outpacing the capabilities of even the highest-performing hardware on the market – and increasing computation and latency demands show no sign of slowing down.

In this comprehensive report, read what the ultra-powerful NVIDIA DGX-1 with Tesla V100 architecture brings to the table. Designed to exceed the throughput demands of deep learning and neural networks, find out how this AI supercomputer is helping organizations achieve 3.1x faster deep learning training than its previous iterations.

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Vendor:
NVIDIA
Posted:
14 Sep 2018
Published:
31 Dec 2017
Format:
PDF
Length:
43 Page(s)
Type:
White Paper
Language:
English
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