As AI computing moves rapidly from the cloud to the edge, devices such as AI PCs, intelligent vehicles, and robotics face mounting storage challenges: real-time multimodal data throughput, extreme random I/O workloads, environmental reliability requirements, and barriers to moving systems and data across devices. Traditional storage methods can no longer keep pace with AI-driven endpoints, making storage bandwidth and responsiveness a critical bottleneck.

Gartner forecasts that AI PC shipments will reach 143 million units in 2026, representing more than half of the global PC market. In this landscape, storage must deliver higher bandwidth, faster responsiveness, and greater flexibility. Today, Lexar, a leading high-performance memory brand is introducing the industry's first AI Storage Core, offering up to 4 TB capacity, high-speed performance, and a hot-swappable design tailored for AI-enabled endpoints.