This interview section emphasizes that a truly ideal AI storage system must excel across four dimensions.

First, high performance is fundamental to keep pace with rapidly advancing AI computation.

Second, the system must remain simple and easy to use, reducing the learning burden for customers who are already challenged by AI adoption.

Third, it should seamlessly integrate into existing network architectures and support strong mobility, allowing storage to be easily moved and quickly deployed across different data centers as GPU generations evolve.

Finally, cost efficiency is identified as the most decisive factor: enterprises facing high AI investment pressure require solutions that deliver high utilization and strong return on investment.

A storage system that meets these requirements will best support scalable and practical AI transformation.