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

Recently, two AI concept projects have successively completed their Token Generation Events (TGE), sparking widespread discussion in the industry about AI Computing Power platform. These projects target a classic business model aimed at connecting AI startups with idle graphics card resources.

The core of this model lies in meeting the needs of both parties: on one hand, AI startups that require a large amount of Computing Power but lack funds to purchase equipment, and on the other hand, individuals or institutions that have idle high-performance graphics cards (such as 4090, 3090, A100, H100, etc.). By building a platform, these projects aim to achieve efficient resource matching and create value for both sides.

For AI startups, renting graphics cards is more flexible and cost-effective than directly purchasing them. This model is particularly important given the current tight international supply of graphics cards and the fact that some regions are even facing embargoes. Decentralized infrastructure can effectively bypass intermediaries, reducing costs and risks.

However, these types of platforms face the typical "which came first, the chicken or the egg" dilemma. To overcome this bottleneck, these projects leverage the power of cryptocurrency. One project adopts the "first comes the chicken" strategy, attracting a large amount of graphics card resources to the platform through token incentives. Another project launched virtual and physical mining machine products to build and strengthen its user base.

The token models of these platforms are not only used for incentives but also play a role in actual usage. Users can choose to use the platform token to pay for service fees and enjoy certain discounts, which increases the utility of the token and helps to decentralize token holdings.

In terms of ecological construction, these projects have adopted different strategies. Some focus on rapidly expanding their user base by selling virtual and physical mining machine products to enhance user stickiness. Others emphasize improving service quality by introducing third-party inspection mechanisms to ensure the stability of Computing Power supply.

These projects have chosen different blockchain ecosystems as their foundation, one based on the Solana ecosystem, while the other mainly operates on Ethereum and Arbitrum. Despite the potential competition, these projects also demonstrate a cooperative stance, even engaging in token swaps, showcasing the collaborative spirit within the industry.

With the rapid development and popularization of AI technology, the demand for decentralized cloud computing platforms may further increase. The development of these projects not only reflects the urgent need for high-performance Computing Power resources in the market but also demonstrates the application potential of blockchain technology in solving real business problems. In the future, as technology matures and the market expands, we may see the emergence of more innovative models, further promoting the integration and development of AI and blockchain technology.