Jul. 18, 2025, Jul. 18, 2025 –
The growth of AI has dramatically increased energy consumption, posing a major limitation for future developments. Over 90% of these AI-related computations involve matrix multiplication, tasks that traditional electronic devices handle inefficiently due to their limited bandwidth and interference-prone electronic signals. These constraints restrict speed and energy efficiency and require careful management to ensure signal integrity.
Through its detailed photonic & computing Technology & Market Reports, Yole Group and its teams deliver key insights on the latest innovations and business opportunities. The author of this article, Eric Mounier, PhD, is Chief Analyst, Photonics at Yole Group. Enjoy reading today’s snapshot!
This article is based on Yole Group’s collection of market & technology reports: Optical Computing 2024 – Co-Packaged Optics for Data Centers 2025 – Quantum Technologies 2025 – Global Market of Lasers 2025 – Optical Satellite Communication 2025… More
Photonic processors, which use photons instead of electrons, offer significant advantages. These devices provide ultrawide communication bandwidth, ultrahigh processing frequency, and remarkably low energy consumption. Additionally, using wavelength and spatial mode multiplexing allows photonic processors to handle multiple computing threads simultaneously with minimal extra overhead. This approach greatly accelerates processing compared to traditional electronic computers.