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Neurophos pilot project shows potential to deliver computing equivalent of 100 GPUs with only one percent energy
Neurophos develops photonic AI chips replacing electrons with light for efficiency Pilot with Terakraft aims to demonstrate sustainable ultra-efficient optical computing Single chip promises 100 GPUs performance using 1% energy consumption An American startup is preparing to test an experimental processor which could deliver performance at a scale never before achieved on a single chip. Neurophos, which was spun out of Duke University with backing from incubator Metacept, is partnering with Norwegian data center operator Terakraft to run a pilot of its optical AI inference platform in 2027. Combining photonics with metamaterials to shrink optical modulators by a factor of 10,000x, the company’s technology uses optical systolic arrays that replace electrons with light, removing latency bottlenecks while running at clock speeds above 100GHz.