![]() This allows us to feed data into processing chips across a much larger memory space, and scale AI algorithms across more processors more easily. By contrast, Luminous hardware uses light channels, which can send more data between chips, and data links don’t degrade much as a function of distance. In traditional hardware, data is sent along electrical wires, which consume far more energy and send far less data the longer they are. Stagnation in AI progress is incoming rapidly.” Even worse, even for, hardware growth is slowing so much that increasing model size much further is nearing intractable. Training big AI models is mostly relegated to, as most companies can’t even afford to rent the necessary hardware. Existing big AI models today are notoriously difficult and expensive to train, as the underlying hardware just isn’t fast enough. “Unfortunately, we’ve come to an impasse: hardware simply hasn’t kept up. Ten years ago, the biggest models were 10 million parameters and could be trained in 1 to 2 hours on a single GPU today the largest models are over 10 trillion parameters and can take up to a year to train across tens of thousands of machines,” Gomez told VentureBeat via email. “Over the past decade, the demand for AI compute has increased by a factor of nearly 10,000. As for Gao, he’s the CEO at AlphaSheets, a data analytics platform aimed at enterprise customers. ![]() Gomez, who previously founded a fashion tech startup called Swan, was formerly a research scientist at Tinder and spent time working on machine intelligence and research software at Google. Nahmias’ research at Princeton became the cornerstone of Luminous’ hardware. Luminous was founded in 2018 by Michael Gao, CEO Marcus Gomez, and Mitchell Nahmias. We just don’t have the hardware that can run those algorithms.” What’s frustrating is that we have the software to address monumental, revolutionary problems that humans can’t even begin to solve. We can interact with computers in natural language and ask them to write a piece of code or even an essay, and the output will be better than most humans could provide. “It’s an incredible time to be a part of the AI industry,” Luminous CEO and cofounder Marcus Gomez said in a statement. (Post-money, Luminous’ valuation stands at between $200 million and $300 million.) ![]() So is Luminous Computing, which today announced that it raised $105 million in a series A round with participation from investors including Microsoft cofounder Bill Gates, Gigafund, 8090 Partners, Neo, Third Kind Venture Capital, Alumni Ventures Group, Strawberry Creek Ventures, Horsley Bridge, and Modern Venture Partners, among others. Lightmatter, LightOn, Celestial AI, Intel, and Japan-based NTT are among the companies developing photonics technologies. ![]()
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