21 Jul '16, 8pm

News & Analysis AI Drives Startup to Map Deep Learning Computer

Derek Meyer, Wave Computing CEO, told EE Times, “In order to accelerate deep learning, the world needs a new computing architecture.” Traditional computer architectures are designed for control flow-oriented applications. In contrast, deep learning demands an architecture that can process a huge amount of unstructured data in a parallel fashion, he explained. Rather than developing a “way too expensive” custom ASIC, Meyer said Wave Computing has leveraged the well-understood dataflow technology and designed a new processing unit that “can natively support Google TensorFlow and Microsoft CNTK.” The company’s new chip, built using 16-nm process geometry, is in the last phase of tape out, according to Meyer. Wave Computing already claims a handful of customers. “We will support our lead customers under the early access program starting later this year,” he said. General avail...

Full article: http://www.eetimes.com/document.asp?doc_id=1330175

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