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nEye Systems Secures $58M for Optical Switch Tech

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nEye Systems, an optical switch startup spun out of the University of California, Berkeley, has completed a $58 million series B round. The funding, led by Alphabet’s independent growth fund CapitalG, with participation from Microsoft venture fund M12, Micron Ventures, NVIDIA, and Socratic Partners, brings the company’s total funding to $72.5 million. 

Formed in 2020, nEye has developed a high radix silicon photonic switch with ultra-low power consumption, leveraging more than a decade of research from professor Ming Wu’s lab at UC Berkeley. Compared to existing optical switch solutions, the company said, the technology is 100 times smaller and has 1000 times lower power consumption, while boasting 10,000 times greater speeds at 10 times lower cost.

The technology addresses AI infrastructure by opening data center communication bottlenecks that have hindered high-performance computing, AI, and machine learning systems. According to nEye, its wafer-scale optical circuit switch uses direct optical connections that offer virtually unlimited bandwidth to provide a more efficient and cost-effective solution.

nEye previously secured an unannounced series A round led by TEDA Holdings with support from Innolight Technology USA, and additional seed funds.
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Glossary
integrated photonics
Integrated photonics is a field of study and technology that involves the integration of optical components, such as lasers, modulators, detectors, and waveguides, on a single chip or substrate. The goal of integrated photonics is to miniaturize and consolidate optical elements in a manner similar to the integration of electronic components on a microchip in traditional integrated circuits. Key aspects of integrated photonics include: Miniaturization: Integrated photonics aims to...
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
machine learning
Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
bandwidth
The range of frequencies over which a particular instrument is designed to function within specified limits. See also fiber bandwidth.
BusinessfundingOpticsoptical switchintegrated photonicsstartupnEye SystemsUC BerkeleyUniversity of California Berkeleysilicon photonicsMing Wudata centerartificial intelligencemachine learningoptical connectionbandwidthpower consumptionAmericasIndustry News

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