Edge Computing and Storage Redefined in the AI Era

The technology paradigm is undergoing a fundamental shift with the increasing role of personal AI assistants. According to Jack Kong, CEO of Nano Labs, the way we define edge computing and storage is being redefined as digital transformation accelerates through AI. Technologies previously considered purely technical are now evolving into essential needs in daily life.

Personal Computing Power Becomes a New Competitive Asset

Local hardware owned by individuals is no longer just a basic tool. The processing power and storage capacity available at the personal level now directly influence a person’s competitive advantage in the AI era. Higher computing capabilities enable the execution of more complex AI models locally, reducing dependence on cloud servers and enhancing user data privacy. As a result, investments in high-quality hardware are shifting from consumption decisions to personal business strategies.

Web3 Infrastructure and Decentralized Storage as Solutions

From a Web3 infrastructure perspective, this moment marks the beginning of a significant transformation. Decentralized storage and edge computing are identified as key growth areas within the blockchain ecosystem and distributed technologies. The need for secure, distributed storage solutions accessible to personal AI assistants opens new opportunities for Web3 infrastructure to become the backbone of a more autonomous and user-centric digital economy.

Future Hardware Valuation Reassessment

This shift signals the start of a new phase in reevaluating the value of hardware components, especially memory and storage. Devices once viewed merely as consumer commodities are now defined as strategic assets within personal AI infrastructure. This trend is likely to drive innovation in chip design, storage optimization, and deeper integration of edge computing into consumer technology ecosystems.