I. Project introduction
AI Network has built a distributed artificial intelligence platform based on blockchain technology, which integrates idle computing resources worldwide to provide users with cost-effective AI computing services. The platform ensures data security and processing transparency through a decentralized network architecture, greatly reducing the cost of using AI services. AI Network supports developers and enterprises to share and deploy AI models globally, promoting technological innovation and cross-industry application development. In addition, the platform provides a complete set of tools and interfaces, enabling users to easily integrate AI functions into existing systems, promoting intelligent upgrading and business efficiency improvement. The goal of AI Network is to create an open and sustainable AI ecosystem, so that the achievements of artificial intelligence technology can benefit everyone.
II. Project highlights
1. Advocate "open resources". AI Network proposes the concept of "open resources" (Open Resource), aiming to promote the development of open source projects. The core of this initiative is to decouple the roles of developers and resource providers, so that developers can focus on writing and releasing innovative programs without the responsibility of resource management. Resource providers only need to be responsible for operating programs and sharing corresponding profits. In this way, developers can upload programs to the open network, and resource providers can freely choose to run these programs and earn income as a result.
2. Real-time event-driven concept. AI Network adopts a post-consensus protocol, which means that real-time execution is given priority when processing transactions, rather than execution order. This design enables the system to run under high transaction throughput, low latency, and high concurrency, which is very suitable for application scenarios that require instant response. Unlike the synchronous execution of traditional blockchain systems, AI Network allows asynchronous execution, which makes the arrival order of results possibly different from the initiation order of transactions, greatly improving the flexibility and efficiency of the system. In this architecture, blockchain is mainly responsible for propagating real-time events and recording the execution lifecycle to ensure the consistency of system state.
3. Multiple programming language support. AI Network supports multiple programming languages and heterogeneous runtime environments, allowing developers to run their programs in the most suitable environment. For example, Deep learning projects may require high-performance GPUs, while sensor network projects may require thousands of small computers. AI Network supports these diverse needs through its Secure Runtime Environment (SRE). Unlike Ethereum's Solidity language and EVM Runtime Environment, AI Network does not have a fixed smart contract language, but participates in execution by monitoring blockchain events through resource providers. This flexibility enables AI Network to support various types of applications and computing needs, truly achieving diversified services worldwide
III. Market value expectations
AI Network significantly reduces the cost of AI services and provides extensive technical support for developers and enterprises by integrating idle GPU resources worldwide, supporting multiple programming languages and heterogeneous computing environments, and advocating the concept of "open resources". In addition, the governance model of Decentralized Autonomous Organization (AIN DAO) also ensures the transparency of the platform and the active participation of the community.
According to Coinmarketcap data, the total amount of AIN tokens is 700 million, the current circulating supply is 254.83M AIN, the token unit price is 0.01422U, and the circulating market value is 3.62M. Compared with the decentralized AI computing application network EMC (EMC)/decentralized computing network
io.net (IO)/decentralized real-time rendering network Aethir (ATH) in the same track, the potential market value has potential.
EMC (EMC): Circulating market value of 4.5 million US dollars, token unit price of 0.082U.
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io.net (IO): Circulating market value 163 million USD, token unit price 1.71U
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Aethir (ATH): Market cap 253 million USD, Token price 0.062 UU
If the circulating market value of AIN is the same as that of EMC/IO/
ATH, the price and increase of AIN token are:
Benchmarking EMC: The price of AIN token can reach $0.01765, with an increase of 24.13%.
Benchmarking IO: The price of AIN token can reach $0.6393, with an increase of 4385.7%.
Benchmarking ATH: The price of AIN token can reach $0.9927, with an increase of 6881.4%.
IV. Economic model
The economic model of the AI network revolves around the AIN token. As a practical token, AIN gives developers, resource providers, and creators the ability to exchange value on a decentralized computing resource platform.
Token distribution and reward mechanism:
Resource Provider: By contributing GPUs to the AI network, resource providers can receive $AIN tokens as rewards. This mechanism encourages more computing resources to enter the network, ensuring that the AI network has sufficient computing power to support large-scale computing tasks.
Developers: By contributing open source code to the AI network, developers can choose to receive $AIN tokens or computing resources as a reward. This Incentive Mechanism promotes the participation of more high-quality open source projects and drives the sustained development of the entire ecosystem.
Creators: Creators use GPUs and open source resources to transform their AI creations into AINFTs. This not only gives creators the ability to tokenize their works, but also allows them to participate in a wider range of decentralized economic activities through $AIN tokens.
Token usage:
The main purpose of AIN in AI networks is to pay for the use of decentralized computing resources, including GPU usage and service execution. Token holders can lock computing resources through network protocols to ensure stable execution of specific tasks.
In addition, AIN is also used to pre-purchase computing resources to lock in service prices and avoid price risks caused by market fluctuations. This mechanism helps maintain the stability of service quality and enables developers to better plan the operating environment of their applications.
Token stability and governance:
In order to maintain the stable value of AIN tokens, the AI network is managed and regulated through Decentralized Autonomous Organization (AIN DAO). Resource providers and solution providers need to lock a certain amount of AIN through smart contracts to ensure a stable supply of computing resources and reduce token volatility.
AIN DAO is also responsible for voting decisions on token supply increases, ensuring that as network demand increases, token supply can grow reasonably without causing inflation or other economic problems.
Through this economic model, the AI network not only achieves efficient use of computing resources, but also promotes collaboration among developers, resource providers, and creators through the token Incentive Mechanism, forming a sustainable decentralized ecosystem
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V. Team and financing
There is no specific team information directly listed on the official website and related materials of AI Network. AI Network mainly focuses on its token economy model, decentralized governance, and the utilization of GPU resources. However, through AIN DAO, community members can participate in the construction and decision-making of the AI Network ecosystem.
In terms of specific financing information, AI Network has not publicly disclosed its specific financing rounds or investor details. This is similar to the practice of many projects, which often prioritize the development of technology and community, and then gradually disclose financing-related information.
VI. Risk Warning
1. The crypto market is highly volatile, and the value of tokens may be influenced by market sentiment and the external environment.
2. The project relies on blockchain technology and the stability of distributed computing resources. Although the system is designed with multi-level security measures, there are still potential technical vulnerabilities or attack risks, such as vulnerabilities in smart contracts and malicious behavior of nodes.
VII. Official links