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,” added Gomez. “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. Using proprietary silicon photonics technology to eliminate data movement bottlenecks at every scale, Luminous is completely re-imagining how AI computers are built, resulting not only in order-of-magnitude improvements in performance, but also in drastic simplifications to the programming model. 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. 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. MOUNTAIN VIEW, Calif., MaLuminous 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. The idea consists in making the Luminous chip compatible to popular software platforms on the basis of AI open source, such as TensorFlow and PyTorch.īy the beginning of June, 2019 in Luminous do not say when chips of the company go on sale.Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them Several other startups, such as Lightmatter and Lightelligence, try to use silicon photonics for acceleration of work of AI. The approach used by Luminous relies on earlier work on neuronomorfny photonics which was written by the cofounder of the company Mitchell Nahmias, studying in Princeton University. Gomez told that the Luminous company intends to use silicon photonics which provides fast data transmission using light just as fiber optic cables work. In Tinder he among other things trained the AI models and came to a conclusion that such tasks should take away read minutes, but not days and hours. The cofounder and the CEO of Luminous Marcus Gomez managed to work in due time both in Google, and in Tinder. Gates invested in the developer of AI chips which use light for data transmission
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