Recently, the demand for AI computing power has exploded, but the real issue is that these top-tier computing resources are tightly held by a few tech giants. Walrus Protocol has emerged against this backdrop.

Simply put, its goal is to integrate idle or underutilized GPU resources worldwide to build a truly decentralized computing power marketplace. Whether it’s consumer-grade graphics cards or professional data center GPUs, they can all connect to this network. For AI developers, research teams, and enterprises, this means saving on expensive hardware investments and directly leasing computing power on demand from the market.

How to understand this model? Imagine applying the Airbnb logic to the computing power field—hardware owners can rent out their GPU resources to earn income, while those needing computing capacity can conveniently access the required resources on the platform. This significantly enhances market liquidity and greatly lowers the entry barrier.

From a technical perspective, Walrus eliminates single points of control through a decentralized architecture, creating a more censorship-resistant and accessible AI computing ecosystem. In this model, the $WAL token serves as the core incentive mechanism, supporting resource transaction settlements and participant incentives. During the cycle of rising AI computing demand, the value potential of such decentralized computing networks should not be underestimated.