How silicon photonics lights the way for data centers (www.techradar.com)

The growing demand for AI technology is pushing data centers to their operational limits, with global spending expected to reach $7 trillion by 2030, driven by the need for scalable AI architecture. The integration of GPU density and bandwidth improvements allows for faster training of AI models, but also raises heating and resource consumption challenges. Silicon photonics emerges as a key solution, enabling efficient data transmission by using light instead of electrical signals. This approach combines optical and electronic components on a single chip, significantly improving speed and energy efficiency while decreasing reliance on rare materials. The need for silicon photonics production is urgent as the AI infrastructure continues to expand. By utilizing complementary metal-oxide-semiconductor (CMOS) technology, silicon photonics can be manufactured alongside traditional semiconductors, making it scalable and cost-effective. However, the success of this technology depends on coordinated investment from chipmakers and data center operators. As the industry gathers momentum, strategic alignment and innovation in engineered substrates are vital to ensure silicon photonics meets the bandwidth demands of modern AI workloads, opening the door to a more energy-efficient and powerful future for data centers.