Industry Analysis
The AI infrastructure race is shifting from HBM-centric memory to storage-layer innovation. While Micron rides NVIDIA’s coattails with short-term HBM gains, its reliance on advanced 3D stacking faces CoWoS bottlenecks and yield constraints. In contrast, SanDisk leverages enterprise QLC/TLC SSDs to capture AI inference data lake demand, amplified by the decoupling of training and inference workloads. Geopolitically, Micron’s >10% China exposure makes it vulnerable to U.S.-China tech decoupling, whereas SanDisk benefits from supply chain resilience via its Kioxia alliance. Samsung and Nanya will likely counter with CXL-attached SSDs to contest interface standards. Over the next 18 months, NAND demand for low-latency, high-endurance AI storage will outpace HBM growth—validating that data throughput at the base layer now offers more strategic leverage than peak bandwidth alone.
This page displays AI-generated summaries and metadata for research purposes. Original content belongs to the respective publishers.