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<p>The rising computational demands of Artificial Intelligence (AI) are driving a rapid surge in carbon emissions from the Information and Communications Technology (ICT) sector. Traditional CMOS-based computing is reaching its scaling limits and struggling to meet these immense demands in a carbon-sustainable manner—underscoring the need for alternative hardware solutions for AI. Photonic computing has emerged as a promising alternative to CMOS through its energy-efficient computing capabilities in the optical domain. This perspective explores the potential of photonics as a carbon-sustainable solution for the next-generation AI hardware.</p>

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Photonics for sustainable AI

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月14日

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  • Farbin Fayza,
  • Cansu Demirkiran,
  • Satyavolu Papa Rao,
  • Darius Bunandar,
  • Udit Gupta,
  • Ajay Joshi

摘要

The rising computational demands of Artificial Intelligence (AI) are driving a rapid surge in carbon emissions from the Information and Communications Technology (ICT) sector. Traditional CMOS-based computing is reaching its scaling limits and struggling to meet these immense demands in a carbon-sustainable manner—underscoring the need for alternative hardware solutions for AI. Photonic computing has emerged as a promising alternative to CMOS through its energy-efficient computing capabilities in the optical domain. This perspective explores the potential of photonics as a carbon-sustainable solution for the next-generation AI hardware.