How the world can tackle the power demands of artificial intelligence

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How the world can tackle the power demands of artificial intelligence

The rapid advancement of artificial intelligence (AI) is creating significant challenges in power demands, latency, and sustainability. New technologies, particularly generative AI, require immense processing power, which could strain existing electricity grids. Experts propose that photonics technology could be the key to addressing these challenges by enabling more efficient computing and networking solutions.

Photonics technology offers a paradigm shift from traditional electronics-based systems, utilizing less energy while providing higher bandwidth and lower latency. This innovation is crucial for applications in various industries, including finance and autonomous vehicles, where real-time data processing is essential. NTT Corp. is leading efforts in this area, collaborating with other major companies to develop scalable solutions through the IOWN Global Forum.

• Photonics technology can significantly reduce energy consumption for AI applications.

• NTT leads initiatives to develop photonics solutions for AI's power demands.

Key AI Terms Mentioned in this Article

Photonics

Photonics refers to the technology of generating and harnessing light for data transmission, which is crucial for efficient AI processing.

Generative AI

Generative AI involves algorithms that can create new content, requiring substantial computational resources.

Bandwidth

Bandwidth is the maximum rate of data transfer across a network, which photonics technology aims to enhance significantly.

Companies Mentioned in this Article

NTT

NTT is a leading telecommunications company focused on developing photonics technology to support AI infrastructure.

Sony

Sony collaborates with NTT and Intel in the IOWN Global Forum to explore innovative AI solutions.

Intel

Intel partners with NTT and Sony to advance photonics technology for AI applications.

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