SK hynix argues memory is becoming the core AI infrastructure bottleneck

The article is strategic rather than transactional, but it is still relevant for RamTrend because it explains why memory vendors expect AI workloads to keep pulling demand toward higher-bandwidth and higher-capacity products. SK hynix links large language model behavior, repeated context use, and accelerator design to memory pressure across HBM, DRAM, and storage-class NAND. The signal is not an immediate price quote; it is a vendor narrative that reinforces why premium AI memory remains a priority area.