Ex-Intel executives’ startup aims to tackle spiraling costs of AI

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October 13 (Businesshala) – After Intel Corp (INTC.O) bought the startups of Naveen Rao and Hanlin Tang in 2016, their job was to help the chip giant make money from artificial intelligence, which requires huge computing power. Require and became tempting to chip. industry.

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But after leaving Intel last year, the pair on Wednesday revealed a startup called MosaicML. It aims to help businesses and researchers do artificial intelligence more efficiently – in other words, using less computing power and fewer chips. It has raised $37 million in funding from Lux Capital, Playground Global and other venture investors.

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The founders of MosaicML said that artificial intelligence models, which must be “trained” using vast reserves of data, have jumped in complexity since 2018. Training a model can now require millions of dollars worth of computing, which makes it out of reach for everyone except large companies. .

“Businesses can no longer do this – they may not have access to the latest methods,” Rao told Businesshala in an interview. “It’s not good for our region.”

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Rao and Tang formed a relationship with Jonathan Frankel and Michael Carbin, two doctoral students at the Massachusetts Institute of Technology, who had published work on how to make machine learning more efficient. The group found that AI is not a single technology for reducing computing costs, but a mosaic – hence the company’s name – of different approaches emerging among researchers.

MosaicML puts those existing ideas into a more sophisticated form that is directly usable by businesses. It then also provides paid services, such as tools to estimate the tradeoff between speed, cost and accuracy of using different types of computing hardware for training AI models.

David Cantor, executive director of MLCommons, an AI industry group not involved with MosaicML, said that predicting and controlling computing costs has become a critical issue for businesses looking to tap into the latest advances in AI technology, Which makes it important to work like MosaicML. Watch.

“Removing the hassle, making it faster, making it more affordable, all these things are potentially beneficial to the industry,” Cantor said.

Reporting by Stephen Nellis in San Francisco; Editing by Steve Orlofsky

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