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. The AI community knows how to deliver all of these capabilities from an algorithmic perspective, but more compute, 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. Other Series A participants include Bill Gates, Gigafund, 8090 Partners, Neo, Third Kind Venture Capital, Alumni Ventures Group, Strawberry Creek Ventures, Horsley Bridge, Modern Venture Partners.MOUNTAIN VIEW, Calif., Ma- Luminous Computing announced today that it 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. 'If we can build the product AI customers have always dreamed of, but wasn’t possible, Luminous will dominate the future of computing.' 'At Gigafund, we focus only on founders that we believe have a path to building the most significant companies in the world,' said Luke Nosek, managing partner of Gigafund, one of the participants of the Series A round. The firm’s 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. Luminous is actively recruiting photonics designers, digital and analogue VLSI engineers, packaging and system integration engineers, and machine learning experts. ‘By introducing silicon photonics technology at the heart of computer architecture, we’re not only able to drastically improve performance and scalability, but we’re also able to make it much easier to build huge AI models.’ 'Most people who build hardware assume that in order to improve performance, you have to trade off against programmability and cost-efficiency, or just go to a higher-density silicon node,’ said Gomez. Boston-based Lightmatter has also raised a combined $113M between its Series A and B funding round to achieve the same goal. Luminous isn't the only startup looking to commercialise silicon photonics chips for AI-based computing. The firm will use its proprietary silicon photonics technology to eliminate data movement bottlenecks at every scale, resulting not only in order-of-magnitude improvements in performance, but also in drastic simplifications to the programming model. Luminous is therefore looking to build supercomputers that satisfy these demands. ![]() We just don’t have the hardware that can run those algorithms.' ![]() 'It’s an incredible time to be a part of the AI industry,' remarked Marcus Gomez, CEO and co-founder, Luminous. While it is known from an algorithmic perspective how to deliver on the futuristic promises of AI, more compute, bandwidth and memory are still needed to achieve these goals. The funding will primarily go towards doubling the size of the Luminous engineering team, building out its custom chips and software, and gearing up for commercial-scale production. Luminous Computing, a startup re-imagining how AI computers are built using silicon photonics, has raised $105M in a Series A round.
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