![]() ![]() Four years into the creation of Luminous, the company is still about 20 months away from production, though Gomez says that the company already has customers ready to go once they do. This solution completely breaks past this curve and offers something that is both more performant and easier to use,” says CTO Nahmias. And then you can offer both ease of use and performance and you totally eliminate the complexity of the software stack. ![]() And if you're able to do those two things, one, use optics to solve this data movement problem and two, re-architect the system with optics, then you can actually break past this curve. But it's not just using optics, you have to redesign the entire computer architecture from the ground up. So, we're putting optics into the computer architecture to solve this problem directly. And that's why we use optics to send data across oceans and across racks in a data center. And we know that optics solves this communication problem. And according to Gomez and his co-founders, the answer lies in photonics-based computer architecture. It turns out that the bottleneck is communication-between chips, between memories, between boards, between boxes and between racks. The luminous founders set out to solve the challenge of providing orders of magnitude improvements in computing performance without giving up on ease of use, programmability and customer experience in order to make good on their mission to make AI fulfill its potential to automate many aspects of human activity to improve life. That's what we're building here,” says Gomez. And what's required to get species defining technology improvements, to do things like talk to your computer, deploy robotics at scale or completely automate medicine, is a supercomputer that can actually support the next generation of AI. The problem is that we've maxed out the capability of existing hardware. The biggest models today take months on tens of thousands of machines requiring hundreds of engineers. “Ten years ago, the largest AI models took maybe an hour to train on a single machine. The Mountain View, California-based start-up, founded in 2018 by Marcus Gomez, CEO, Mitchell Nahmias, CTO and Michael Gao (who has since left the company), plans to push revolutionary technological advances to maximize artificial intelligence through the development of a new supercomputer built on photonics chips. Luminous Computing is trying to change that dynamic. Luminous Computing Founders (l) Marcus Gomez and (r) Michael Nahmias. The total computing power required to train the world’s biggest AI model has been doubling every three and a half months for the past several years, far outpacing Moore's law. These algorithms get better by getting bigger. AI research efforts from Alphabet’s DeepMindAI, Meta, OpenAI and others are pushing the current known capabilities of today’s computing environments. Got it! Got it! Artificial intelligence is not only big business, estimated to reach over $422 billion in global spending by 2028, it requires big data computing on a scale few can comprehend. New!Follow this author to stay notified about their latest stories. I write about innovative, growth-minded CXOs and entrepreneurs. Luminous Computing Aims To Accelerate AI With Photonic Computing
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