The Evolution of High-Speed Interfaces and Memory Systems in AI Architectures

Abstract

High-speed interfaces and memory systems form the foundation of modern artificial intelligence architectures, enabling them to meet the rapidly growing computational demands of advanced neural networks. Progress in these domains centers on maximizing data movement efficiency while balancing the trade-offs between bandwidth and power consumption. In SerDes design, key considerations include clocking strategies, signal integrity control, and the physical implementation challenges that directly influence overall system performance. Memory hierarchy optimization requires carefully managing capacity, bandwidth, and power efficiency across multiple technology generations. Emerging solutions—such as processing-in-memory architectures and next-generation non-volatile memories—help reduce data transfer overhead. Together, interface design and memory subsystem advancements create the scalable infrastructure needed to power next-generation AI applications across a wide range of deployment environments.