This section emphasizes that storage requirements have grown significantly as technology evolves, making legacy assumptions of capacity obsolete.

For new AI and mobile computing devices, seamless connectivity with existing scientific instruments and analytical tools is essential to support data processing across research workflows.

At the same time, solutions must remain affordable, as educational environments cannot bear the high upfront costs typical of enterprise systems.

Achieving a balance between performance, compatibility, mobility, and cost is therefore crucial for practical AI adoption in academia.