Luminous’ core differentiation comes from the fact that it is building nearly every part of the stack from the ground up, integrating expertise from a diversity of domains. Specifically, Luminous is actively recruiting photonics designers, digital and analog VLSI engineers, packaging and system integration engineers, and machine learning experts. The funding will primarily go towards doubling the size of the Luminous engineering team, building out Luminous’ custom chips and software, and gearing up for commercial-scale production. 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,” said Marcus Gomez, CEO, and co-founder, Luminous. Luminous is building the supercomputer that satisfies those demands.
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The AI community knows how to deliver all of these capabilities from an algorithmic perspective, but more computing, bandwidth, and memory are desperately needed. Despite substantial progress made towards those goals, the world is still waiting for these superhuman applications. Silicon Valley is on the verge of delivering ubiquitous access to the kinds of capabilities that showed up 30 years ago in Star Trek: eliminating car accidents with self-driving cars, detecting and curing diseases through highly personalized drug discovery and automated health analytics, allowing anyone to query the entire database of human knowledge, and letting people talk to computers seamlessly, in real-time. Luminous Computing raised $105M in a Series A round, with participation from investors including Gigafund, Bill Gates, 8090 Partners, Neo, Third Kind Venture Capital, Alumni Ventures Group, Strawberry Creek Ventures, Horsley Bridge, Modern Venture Partners, among others. Posted Mar 10, 2022 by GoPhotonics Editorial Team
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