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Nvidia in the Driver’s Seat for Deep Learning

In this special guest feature, Robert Roe from Scientific Computing World describes why Nvidia is in the driver’s seat for Deep Learning. “Nvidia CEO Jen-Hsun Huang’s theme for the opening keynote was based on “a new computing model.” Huang explained that Nvidia builds computing technologies for the most demanding computer users in the world and that the most demanding applications require GPU acceleration. ‘The computers you need aren’t run of the mill. You need supercharged computing, GPU accelerated computing’ said Huang.”

Students Win ASC15 Competition with K80 GPUs

Over at the Nvidia Blog, George Middleton writes that Tesla K80 GPUs powered the winning team from Tsinghua University at the recent ASC15 International Student Cluster Competition.

New STAC Benchmark: Nvidia Tesla K80 GPU

Today STAC released audited STAC-A2 Benchmark results for a server using the just-announced Nvidia Tesla K80 dual-GPU Accelerator board.