Enterprises prioritize data security when choosing AI infrastructure. Public cloud introduces high complexity and cost, while traditional private cloud deployment is also expensive.

A compact, on-premises AI stack combining a small number of GPU servers with portable storage allows full data control, easy deployment, and lower investment, helping enterprises adopt AI more efficiently.

Only a limited number of large companies can build massive GPU clusters today, but the vast majority of enterprises — around 99% — will require scalable AI architectures within the next five years.

This creates a major market opportunity for simplified, secure, and cost-effective AI storage solutions.