Microsoft has debuted Brainwave, a system that improves AI hardware performance, enabling machine learning at speeds beyond what’s available today with CPUs or GPUs. At the Hot Chips symposium in Cupertino, California, researchers showed off a Gated Recurrent Unit model running on Intel’s newly released Stratix 10 FPGA (field programmable gate array chip), at a speed of 39.5 teraflops without batching operations. Brainwave currently supports models constructed with Microsoft’s CNTK framework and Google’s TensorFlow framework. Continue reading Microsoft Intros Brainwave, Jumpstarting AI Hardware Speed

Microsoft is developing a chip designed specifically for artificial intelligence processing. A version of its Holographic Processing Unit, used for its HoloLens headset, the new chip will be integrated with the next version of HoloLens, to be launched at an as-of-yet undetermined date. Microsoft isn’t alone in taking chip manufacturing in-house, especially with regards to AI processing. Apple’s iPhone prototypes include the company’s AI-specific chip, and Google is working on its own second-generation AI chip. Continue reading Microsoft Develops Its Own Chips to Power AI in the Cloud

In 2012, Microsoft chief executive Steve Ballmer and computer chip researcher Doug Burger believed they had found the future of computing: chips that could be programmed for specific tasks, dubbed field programmable gate arrays (FPGAs). Project Catapult, as it was called, was intended to shift the underlying technology of all Microsoft servers in that direction. FPGAs now form the basis of Bing. Soon, the specialized chips will be capable of artificial intelligence at a tremendous speed — 23 milliseconds versus four seconds. Continue reading Microsoft Speeds Up AI with New Programmable FPGA Chips