Facebook's new server design, dubbed Big Sur, was created to power deep-learning software, which processes data using roughly simulated neurons. The invention of ways to put more power behind deep learning, using graphics processors, or GPUs, was crucial to recent leaps in the ability of computers to understand speech, images, and language.

Facebook worked closely with Nvidia, a leading manufacturer of GPUs, on its new server designs, which have been stripped down to cram in more of the chips. The hardware can be used to run Google's TensorFlow software.

But the social networking giant is not the only one ready to share AI technology. Many other tech companies too are open-sourcing the technology.

In November, Google opened up software called TensorFlow, used to power the company's speech recognition and image search. Soon after, Microsoft released the software that distributes machine-learning software across multiple machines to make it more powerful.

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