LightSpeed Photonics’ optoelectronics integrated processors solve pressing bandwidth problems across industries
Via the Rochester Business Journal
LightSpeed Photonics (LSP) is one of 10 startups from around the world working with the Luminate NY accelerator at NextCorps in downtown Rochester. These companies are helping to write the next chapter in Rochester’s history as the world’s center for optics, photonics, and imaging (OPI).
Each company in Luminate’s cohort 5 received an initial investment of $100,000 and is participating in the six-month program, which helps the selected companies speed the commercialization of their technologies and businesses. On October 19, at Finals 2022 at the Rochester Riverside Convention Center, they will compete for up to $2 million in follow-on investment. Funding for the $25 million program is being provided through Empire State Development’s Finger Lakes Forward Upstate Revitalization Initiative.
“LightSpeed Photonics is working hard to create a higher performance, more reliable photonics semiconductor,” said Dr. Sujatha Ramanujan, managing director of Luminate. ”We’re confident that the team’s dedication and expertise will help to create computing chips that solve pressing bandwidth problems across industries.”
We caught up with Rohin Yeluripati, LightSpeed Photonics’ Co-founder and CEO, to discuss how the company is developing optics embedded microprocessors to speed up the data input/output and enhance computing power, resulting in real-time processing of applications.
Tell us about your company.
LightSpeed Photonics integrates high-performance processors with high data rate optics to create modular processors for data centers and edge cloudlets. Our processors are scalable and field programmable units so that customers can use them for multiple applications, simultaneously. By deploying novel assembly and packaging methods using semiconductor assembly machines, we increase the data input/output by ten times at much lower power.
This technology addresses the need for increased real-time processing of data bandwidth-intensive applications like video streaming, AI, cybersecurity, and smartNICs (Network Interface Cards).