Nvidia packs AI supercomputer into one box

Nvidia’s DGX-1 is said to be equivalent in performance to a 250-node x86 system for deep learning applications. Described by Nvidia co-founder and CEO Jen-Hsun Huang as “the world’s first deep-learning supercomputer,” the DGX-1 contains eight of the new Tesla P100 GPUs, together capable of delivering 170 16-bit teraflops. Training the AlexNet neural network takes just two hours on a DGX-1, compared with 150 hours on a dual Xeon server. And because of the diminishing returns from adding nodes, it requires more than 250 Xeon servers to match the speed of the DGX-1, he said. At the GPU Technology Conference 2015 Huang predicted the company would deliver a 10x speed improvement in a year, but it has actually delivered a 12x improvement. What a system with four Maxwell GPUs could achieve…

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