![]() ![]() People should be able to train models in minutes, not hours or days, Gomez said. In addition, companies that make drones, robots or self-driving cars could work them into their systems, said Gomez who has worked at Google and Match Group 's Tinder.Īt Tinder, Gomez said, he would start training an AI model on a cloud in the morning and check to see if it was done in the evening. Cloud providers like Google or Amazon Web Services could buy them. ![]() Luminous does want to sell its chips to different types of companies. Google's public cloud now features its own TPUs the company hasn't started selling these chips to other companies. The company took matters into its own hands, rather than relying on the Nvidia graphics cards that have become popular among AI researchers for training AI models with vast supplies of data. Google's entry into the AI silicon business was itself a bold development. "We know this works because we already have working silicon," Gomez said. The seven-person company's goal is to build a chip that can substitute for 3,000 boards containing Google's latest Tensor Processing Unit AI chips, or TPUs. "While there's certainly a ton of risk, that's what makes it worth investing now: if the race was already over, it would be too late to invest."Ĭurrent companies are struggling to make big gains with chips that can run AI models, Luminous co-founder and CEO Marcus Gomez told CNBC in an interview on Monday. "I always prefer to bet on a talented young team over a big established company," Partovi told CNBC via email. Neo, a VC fund by early Nervana investor Ali Partovi, is also investing in Luminous, which is based in Palo Alto, California. Intel bought one, called Nervana, in 2016. Several start-ups have been working on next-generation hardware in recent years as AI has become trendy. Personal Loans for 670 Credit Score or Lower Personal Loans for 580 Credit Score or Lower Best Debt Consolidation Loans for Bad Credit ![]()
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