Kaytus launches all-QLC flash storage solution

Author: Joe Peck

Kaytus, a manufacturer of servers, storage systems, and data centre infrastructure hardware, has unveiled its All-QLC Flash Storage Solution at AI EXPO KOREA 2026, a platform engineered for ultra-large-scale AI training across clusters of 10,000-plus GPUs.

As model sizes and agentic-AI workloads surge, Kaytus argues that the real bottleneck in modern AI infrastructure is no longer raw compute, but the storage layer feeding data to accelerators fast enough to keep them fully utilised.

Built on an all-QLC flash architecture, the solution is designed to deliver the sustained throughput and high-density capacity that hyperscale AI clusters demand – reducing GPU idle time and improving overall training efficiency.

Purpose-built for over 10,000 GPU clusters, the new architecture targets storage – not compute – as the decisive constraint on AI scale.

The launch signals a broader shift in AI-era infrastructure priorities, placing high-performance storage at the centre of the conversation around scaling AI.