Wave Computing is a developer of a homegrown chip architecture, which it calls DataFlow, with two innovative features, according to the company: (i) its processors lack the clock mechanism that traditional systems use to regulate their speed (reportedly allowing Wave Computing's chips to reach frequencies as high as 10 gigahertz), and (ii) its chip architecture has eliminated a "host processor" that other AI chips use to coordinate their work. Typically, according to the company, the specialized processing cores tasked with running machine learning algorithms have to constantly communicate with the host processor for instructions. However, Wave Computing's chips reportedly avoid the round trip to reduce latency. In essence, the company has stated that these two features allow users of its chips and systems to complete machine learning tasks much faster than if they used graphics chips.
Wave Computing was founded in 2010 and is headquartered in Campbell, California.
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