On June 5, Circle, the issuer of the world's second largest stablecoin USDC, was listed on the New York Stock Exchange, sending a signal of strong growth in cryptocurrencies (stablecoins) to the financial market. Circle's stock price soared 168% that day, becoming the new darling of the capital market.
On the other hand, Bitcoin, known as "digital gold", continues to be the focus of the financial market as tariffs and macro market uncertainties continue.
But outside of stablecoins and reserve cryptocurrencies, security tokens (DePIN/RWA tokens) have received very little attention and discussion.
Value of DePIN Tokens
What is the value of DePIN tokens, what role does it play in the crypto market, and what position does it occupy? This article uses decentralized cloud computing in the DePIN field as an example to try to explain that DePIN tokens not only play an important role in the entire crypto market, but will also circulate and trade with cryptocurrencies in different fields, acting as an indispensable financial tool between Web3, AI, and even the metaverse.
DePIN is currently in its early stages of development, but this does not prevent us from imagining its ideal picture:
● Users upload their own AI models on the chain and train them through a decentralized GPU network;
● Developers can use DePIN tokens to rent idle GPU computing resources around the world for efficient reasoning;
● DAO community members hold DePIN tokens to vote on which open source AI projects are worth supporting and even provide financial subsidies for them;
● Data owners can authorize their own data sets to be uploaded to the chain for use in AI training, and at the same time receive DePIN token benefits;
● All model training, deployment, and calling processes can be transparently recorded on the chain, achieving traceable and verifiable AI processes.
The above ideal scenarios are inseparable from cryptocurrency as a financial payment tool. It can be said that various scenarios in the DePIN field require cryptocurrency as a value support.
DePIN tokens empower AI
In the traditional AI field, model training is expensive and only large companies can afford it. On the decentralized cloud computing platform, any individual developer, scientific research team or even studio can rent GPU computing power worldwide by paying DePIN tokens to complete high-quality AI training tasks. DePIN tokens become the "settlement unit" of the AI model economic system.
Conversely, those who are willing to contribute their idle computing power can also earn tokens by providing services, forming a fair and open AI computing power market.
At the same time, DePIN tokens can also be used as a "funding fund" for open source AI projects.
DAO community members initiate proposals, such as: "I have a new AI image recognition algorithm that requires 1,000 hours of GPU time to train, and I request community funding." If the proposal is approved, the system can automatically allocate DePIN tokens to the developer to pay for computing power. This mechanism allows AI innovation to no longer be limited by funding thresholds, truly realizing the principle of "whoever has the ability can do it."
DePIN tokens also serve as the "ownership confirmation and transaction medium" for AI data assets.
In the Web3 world, the ownership of data belongs to the user. On the DePIN platform, for example, in the decentralized cloud computing platform, users can encrypt and upload data sets and authenticate them through DID (decentralized identity). If others want to use this data for AI training, they must pay the data owner through DePIN tokens. This is the concept of DeAI (decentralized AI), which uses cryptocurrency and blockchain to ensure the training of large AI models, which not only protects user privacy but also realizes the value circulation of data.
A new paradigm of Web3 and AI integration
Decentralized cloud computing power is expected to develop a true "distributed AI training network" in the future, which means that each node not only provides computing power, but also participates in part of the model's training process.
Its scenario implementation may be as follows:
● You have a high-performance computer, but you usually only use it for playing games;
● Now you can connect your GPU to a decentralized cloud computing platform and participate in the training of an AI model;
● Every time you complete a part of the training, you will be rewarded with DePIN tokens;
● Multiple nodes work together to eventually train a powerful AI model;
● The ownership and usage rights of the model are determined by DAO to ensure openness and transparency.
This situation can also be achieved in DePIN fields such as network, storage, bandwidth, and power. The training of large AI models also requires the support of network, storage and other conditions.
AI model training based on the chain, including data sources, training parameters, inference results, etc., can all be tracked and audited. This means that the training process of the AI model is transparent; data use is paid and authorized; the output results are verifiable; and the entire AI ecosystem is built on a decentralized trust foundation.
Conclusion
Whether it is the trustworthiness, transparency, or privacy protection of AI, all of them rely on the on-chain DePIN token as a financial payment tool, a credit certificate, a value carrier, and a user identity qualification review mechanism.
In a more ambitious direction, DePIN tokens are an indispensable force behind AI innovation in the Web3 era. At the same time, it is not only a means of payment, but also an important carrier to promote the fairness, open source and trustworthiness of AI. At present, decentralized cloud computing platforms such as PowerVerse are integrating Web3, AI, GPU computing power, decentralized identity (DID), DAO governance and edge computing to build a comprehensive ecological network of decentralized cloud computing power.
In this system, the role played by the platform's native token is far more than a "payment tool" or "incentive mechanism", but is also becoming a key engine to promote the deep integration of Web3 and AI.
