Unclogging Bottlenecks: KAYTUS Rolls Out All-QLC Storage for AI Clusters

Training large language models is bottlenecked not only by the computational power of processors but also by data read speeds. On May 8, 2026, infrastructure solutions manufacturer KAYTUS introduced the All-QLC Flash Storage system, tailored to serve massive AI clusters of up to 10,000 GPUs.

This is a technical release that perfectly reflects market maturity. The solution eliminates a critical infrastructure bottleneck: latency when feeding massive datasets to the tensor cores of accelerators. The use of QLC (Quad-Level Cell) memory radically reduces the Total Cost of Ownership (TCO) of petabyte archives without sacrificing bandwidth. The news confirms the current macro trend: amidst the hardware supercycle and NVIDIA chip shortage, peripheral server hardware manufacturers are successfully reaping their share of giant venture budgets.

Source: KAYTUS / Business Wire