nervanaDerrick Harris of GigaOM reports, “Nervana Systems, a San Diego-based startup building a specialized system for deep learning applications, has raised a $3.3 million series A round of venture capital. Draper Fisher Jurvetson led the round, which also included Allen & Co., AME Ventures and Fuel Capital. Nervana launched in April with a $600,00 seed round. The idea behind the company is that deep learning — the advanced type of machine learning that is presently revolutionizing fields such as computer vision and text analysis — could really benefit from hardware designed specifically for the types of neural networks on which it’s based and the amount of data they often need to crunch.”

Harris continues, “Indeed, the computers in play do matter: the application of GPUs to run deep learning algorithms drastically improved their performance and made them a viable option for certain tasks. GPUs are now the preferred processor type for many researchers and practitioners in the space. Nervana isn’t talking too much about the guts of its system just yet, but it appears to be based on something other than GPUs or new types of processors like IBM’s new brain-inspired SyNAPSE. And, in fact, Nervana’s architecture includes a software component, as well.”

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Image: Courtesy Nervana Systems