Lightmatter focuses on photonic interconnects for AI

According to DIGITIMES, Lightmatter is developing photonic interconnects for artificial intelligence infrastructure, with the goal of making them available in 2026. The company aims to leverage photonics to overcome the limitations of traditional electrical interconnects, promising improvements in speed, bandwidth, and energy consumption.

Photonic interconnects could represent a significant step forward for high-performance computing systems, particularly for workloads related to AI and machine learning. This technology has the potential to significantly accelerate data transfer between different components of a system, reducing latency and increasing overall efficiency.

For those evaluating on-premise deployments, there are trade-offs to consider when choosing interconnection technologies. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.