Architecting memory and storage in the AI era

AI inference demands new infrastructure architectures that optimize memory, storage, and networking together to handle continuous, distributed, and latency-sensitive workloads. Legacy systems limit AI's potential, so purpose-built designs are crucial for scalable, efficient AI services in sectors like healthcare and customer support.