Photonics-Semiconductor Convergence: a key trend for AI

The strong demand for computing power for artificial intelligence is leading to an increasing integration between the world of photonics and that of semiconductors. This convergence is essential to overcome the limitations of traditional architectures and develop hardware solutions capable of handling the growing workloads related to AI.

Events such as APE 2026 (Advanced Packaging Ecosystem Forum) are therefore crucial to present the latest innovations in this sector, from new advanced packaging techniques to the integration of photonic components within chips.

This trend is particularly relevant for those looking to optimize the performance and energy efficiency of artificial intelligence systems, both in cloud and on-premise contexts. For those evaluating on-premise deployments, there are trade-offs to consider carefully, as discussed in AI-RADAR's analytical frameworks on /llm-onpremise.