Facebook lets anyone build a social network with its AI hardware

Facebook is now using off-the-shelf GPU servers to handle machine learning tasks, but they require special cooling, are relatively expensive and are hard to maintain, the blog said. Facebook continues to pour internet-scale money into Deep Learning and AI, announcing its new “Big Sur” computing platform created to double the speed for training neural networks of twice the size. As Facebook staffers Kevin Lee and Serkan Piantino explain, Big Sur was built to use up to eight high-performance GPUs of up to 300 watts each. Thus, the latest news out of Menlo Park, Calif. this week taps into all of the above with the announcement that it plans to open source its artificial intelligence (AI) hardware. For example, the Big Sur motherboard can be removed in a minute, compared to…


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