New Opportunities for AI Computing Power Platform: The Rise of Decentralized Cloud Computing

Recently, two blockchain projects focused on AI Computing Power have been launched one after the other, attracting widespread attention in the industry. These two projects target a promising market opportunity: connecting idle high-performance GPU resources with AI startups that have computing demands.

The core of this business model lies in: on one hand, many individuals and institutions own idle high-end graphics cards ( such as 4090, 3090, A100, H100, etc. ); on the other hand, numerous AI startups and game rendering companies urgently need a large amount of Computing Power but lack the funds to purchase equipment. If there is a platform that can effectively connect these two ends, it can create immense value.

For AI startups, renting Computing Power is more flexible and cost-effective than purchasing equipment. Especially in the current context of tight global GPU supply and even embargoes in some regions, decentralized Computing Power platforms are particularly important. They can circumvent the gray areas that may exist in traditional centralized platforms, providing more transparent and efficient services for both parties.

However, these types of platforms face the classic "which came first, the chicken or the egg" dilemma - Computing Power suppliers want to see sufficient demand, while demand side expects to have enough Computing Power resources on the platform. To break this deadlock, these projects have introduced cryptocurrency incentive mechanisms.

One of the projects adopted the "first comes the chicken" strategy, attracting a large number of graphics cards to the platform through token incentives. It is reported that at its peak, the platform gathered hundreds of thousands of graphics cards, laying a solid foundation for future development.

These platforms typically support fiat and stablecoin payments, while also allowing settlement using the platform's native token, and offer a certain percentage discount on transaction fees. This design neither forces users to use the platform token nor does it give the token actual utility, helping to promote the decentralized holding of the token.

In terms of ecological construction, some projects have adopted unique strategies. For example, launching virtual mining machines and physical mining machine products to enhance community stickiness by creating user sunk costs. This "land-grabbing" strategy is particularly effective in a bull market and helps quickly accumulate a user base.

At the same time, to address the stability issues of distributed Computing Power resources, certain platforms have introduced the "Inspector" role. These inspectors are responsible for monitoring the working status of graphics cards and the order processing situation, and they receive token rewards. This not only enhances the service quality of the platform but also provides a new dimension for token distribution.

It is worth noting that although these projects have a competitive relationship to some extent, they also demonstrate a posture of cooperation. For example, there have been token swaps between projects, showing an attitude of harmonious coexistence. In addition, since they all focus on standardized GPU Computing Power, these platforms are also more likely to collaborate with other industry participants.

Overall, these decentralized cloud computing platforms are opening up a new market full of potential. They not only provide more flexible and efficient computing power solutions for the AI and gaming industries but also find new ways to realize the value of idle high-end hardware resources. With the continuous development and popularization of AI technology, competition and innovation in this field are bound to continue to heat up.