Nervana Systems, one startup building artificial intelligence systems that companies can use to make their applications smarter, announced today a $20.5 million round of funding.
The startup specializes in a type of AI called deep learning, which involves feeding lots of data to artificial neural networks and then throwing new data at them to receive inferences in response. Researchers developed the technique decades ago; and it’s since waxed and waned in popularity. Thanks to improvements in computing power and the availability of large sets of data, the technique has become popular for processing images, videos, text, and speech.
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It’s one of a few startups that seek to democratize deep learning for a wide variety of applications. Others in this category include Clarifai, Ersatz Labs, MetaMind, and Skymind. Each of these generally focused startups takes a slightly different approach from the rest.
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Nervana, whose founders worked together at chipmaker Qualcomm, initially set out to sell hardware tailored for deep learning, but now it intends to perform deep learning on its custom hardware as an easily accessible cloud service. Earlier this year the startup released its Neon deep learning software under an open source license, allowing anyone to try it out for free.
The National Energy Research Scientific Computing Center is using Neon, along with more and more of Nervana’s customers and partners, Amir Khosrowshahi, a cofounder of Nervana and its chief technology officer, told VentureBeat in an email.
Data Collective led the new round in Nervana. Allen & Co., AME Cloud Ventures, Andy Rubin’s Playground Global, the CME Group, Draper Fisher Jurvetson, Fuel Capital, Lux Capital, and Omidyar Network also participated.
To date Nervana has raised $24.4 million, including the $3.3 million round announced last August and the startup’s $600,000 seed round.
Nervana started last year and is based in San Diego.
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