Intel’s data center chief talks machine learning — just don’t ask about GPUs

If you want to get under Diane Bryant’s skin these days, just ask her about GPUs. The head of Intel’s powerful data center group was at Computex in Taipei this week, in part to explain how the company’s latest Xeon Phi processor is a good fit for machine learning. Machine learning is the process by which companies like Google and Facebook train software to get better at performing AI tasks including computer vision and understanding natural language. It’s key to improving all kinds of online services: Google said recently that it’s rethinking everything it does around machine learning. It requires a massive amount of computing power, and Bryant says the 72 cores and strong floating point performance of Intel’s new ‘Knight’s Landing’ Xeon Phi, released six months ago, give it…


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