Nvidia DGX-1 uses eight Tesla P100s to speed up deep learning

by Bruno Ferreira — 3:56 PM on April 5, 2016 Holy mother of GPUs. If you’ve been reading the news today, then you know Nvidia has launched the Tesla P100, the HPC equivalent of the Schwerer Gustav mega-cannon. But really, who wants just one of those cards for crunching tons and tons of deep-learning data? Take a good look at Nvidia’s DGX-1 Deep Learning System. Nvidia claims the DGX-1 is the “world’s first deep-learning supercomputer in a box.” It includes eight Tesla P100 cards, all meshed together with the NVLink interconnect. According to Nvidia, the DGX-1 could be 75 times faster than a dual-socket Xeon E5-2697 v3 CPU system when running neural network training tasks, and it can perform up to 170 TFLOPS—a claimed 56 times the performance of the…


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