Nvidia Unveils New Deep Learning System for Supercomputers

Nvidia has announced its DGX-1 Deep Learning System at the 2016 GPU Technology Conference. That might not mean much to the average PC fan, but in context that is over twelve times the graphics performance of the Nvidia Titan X, it's most expensive and powerful graphics card on the market. The Tesla GP100 is based on TSMC's 16nm FinFET manufacturing process, and uses High Bandwidth Memory (HBM2) for the first time. Nvidia is the first to adopt both features, before Intel or AMD, though Samsung has been using the 16nm manufacturing process since late 2015. Rather than make the GPU slimmer with the new manufacturing process, Nvidia has added a lot more transistors to the card.