“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.
Luminous computing ai series bill how to#
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.
Luminous computing ai series bill series#
With Ukraine the top supplier of neon gas-a critical chip component-to the US, the conflict is expected to also affect the photonics sector, which could dampen its outlook.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.
What’s the catch?Following two years of supply chain disruptions from the coronavirus pandemic, Russia’s war in Ukraine is another foe for the semiconductor industry.
That’s why Harvard and Boston University partnered with Lightmatter to apply its electro-photonic computing solutions to the AV problem.Since photonics uses less energy than electronics, it’s also being applied to AVs, which have to process large amounts of data from energy-intensive LiDAR, radar, and cameras, straining vehicle batteries and reducing range.Today, models have 10 trillion parameters requiring tens of thousands of machines a year to train-a slowdown that photonics can speed up to just a few days of training. According to Luminous CEO Marcus Gomez, AI models from a decade ago had 100 million parameters at most, taking a single computer an hour to train.
It could also affect us closer to home with faster IoT and downloads speeds and higher streaming quality. With the drive for innovation increasingly bumping up against data bottlenecks, photonics can advance the most demanding areas of technology like AI, quantum computing, and automation. Lightspeed data processing:Since photonic chips use light to transmit data instead of the electrons used in their conventional counterparts, the technology promises faster, more powerful, and more efficient computers. Hewlett Packard Enterprise struck a multi-year strategic collaboration with Ayar Labs to harness the startup’s silicon photonic tech, which can reportedly achieve 1,000x the bandwidth of electrical I/O circuitry with just one-tenth of the power, for use in the HPE Slingshot, per ZDNet.One company in the photonics space, Luminous Computing, has raised $105 million in Series A funding, including from Bill Gates, and recently divulged plans to build an AI supercomputer using light-based technology, per The Next Platform.
0 kommentar(er)
