![]() ![]() ![]() ‘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.' ![]() 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,' 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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