Kaytus pushes QLC flash storage for large AI GPU clusters

Kaytus is targeting AI infrastructure storage with an all-QLC flash system designed for very large GPU clusters. StorageNewsletter says the launch is built around high scale, cost efficiency, and faster data delivery for AI training workloads. The relevant memory-market signal is QLC's role in AI storage tiers. While HBM and DRAM dominate accelerator headlines, large training environments also need dense flash capacity to keep data pipelines moving. A vendor launch around QLC indicates continued pressure to lower cost per stored bit while maintaining enough performance for parallel AI workloads. For RamTrend, this is not a direct NAND price signal. It is useful as demand-side evidence that QLC-based flash systems are being positioned for AI infrastructure rather than only general enterprise storage.