Silicon Photonics: Using Light Instead of Electricity for AI Matrix Math, Cutting Power by 95%
anirbanbandyo · x · 2026-08-08
A discussion on the potential of silicon photonics in future AI computing. Traditional AI chips rely on electrons for matrix multiplications, incurring massive energy costs and latency.
By using pure photons instead of electrons, photonic chips could perform matrix multiplications almost instantly within 5-10 years, reducing power consumption by up to 95%. This breakthrough could bypass the physical bottlenecks of Moore's Law and fundamentally alter the energy landscape of AI infrastructure.
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