1. Token issuance, smart contracts - The base speed can guarantee TPS 1000 -AI can run using smart contracts and operate in a decentralized manner. -It is very simple to create smart contracts on DBC, simpler than centralized settlement. - Low Gas Fees: One ten-thousandth of the monthly application fee - One reason there is not a large number of applications in the blockchain industry is that the gas fees are too high. -EVM compatible, reducing migration costs for developers 2. Decentralized AI Model Inference -V God: When an individual becomes accustomed to using centralized AI, they may become susceptible to being kidnapped. - Currently, the public chains on the market cannot support decentralized AI model inference. - The initial investment cost for research and development in decentralization is enormous: it may take 3 to 4 years and tens of millions in investment to possibly create a product. -DBC helps AI projects to incubate quickly (simple API interfaces, deployment of AI containers), reducing establishment costs and shortening R&D time: from 3 years to 3 months, investment reduced from tens of millions to millions. -Address privacy concerns - Pain point: The cost of computing power cannot be reduced. 3. Free use of GPU Completely free to use GPT - In the DBC ecosystem, contributors of computing power are very important. - The high cost of computing power (buying, leasing) is a bottleneck that limits AI development. - Many small and medium-sized AI projects and companies cannot afford to allocate enough money and resources to scale up a product. - Users also cannot use the product at a very low cost. - The project team allocates a certain proportion of tokens to reward miners. The project team issues tokens to gain more computing power. AI Industry: -0.2 : 9.8 Law: Nowadays, there is a serious surplus of high-end computing power, and a large amount of computing power demand is monopolized by leading companies. (Unequal resources, the hungry will starve, and the full will be overfed) - Small and medium-sized AI computing power rental companies are unable to obtain orders. - Most computing power rental companies also find it difficult to enter the system of leading AI companies. -Decentralized AI aims to break the imbalance between computing power supply and demand. No one can restrict BTC mining, decentralization = no restrictions. - Miners do not need to earn money based on AI orders, but rather join the DBC network to obtain various AI Tokens. -All centralized AI projects will have a corresponding decentralized AI project. Differences between DBC AI public chain and decentralized computing projects: -Decentralized computing power projects (rental of GPUs): Users are mainly centralized AI enterprises that need to compete for customers with Google and Microsoft. - The customer base of the AI public chain: AI developers. Empowering AI developers to open up a new market: decentralized AI. - Committed to creating a brand new DeAI ecosystem: All AI developers can quickly restructure business models through a decentralized approach, thereby addressing the challenges faced by centralized AI. -DBC project can run lightweight: create a brand new project ecosystem -DBC is driving a new AI project ecosystem and blue ocean market together with Google, laying out plans 5-10 years in advance. - In the next 5-10 years: Centralized AI: $10 trillion scale. Decentralized AI: At least $1 trillion scale or more. - The competition in the centralized track is very fierce, with companies operating in every track, all following centralized business models, making it difficult to break through at the user level. Example: Decentralized AI image generation can achieve $1/month, while centralized products like MidJourney cannot reach $1/month. - AI does not have the concept of user data, which leads to low migration costs for users. - Characteristics of centralized AI: 1. High computing power costs, high fees. 2. Low user migration costs, making it difficult to raise prices. (Internal conflicts, intense competition) - A fund is being established to incubate decentralized AI projects. - Promote the prosperity of the DBC chain through the prosperity of projects on the public chain.
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DBC AI Public Chain Definition
1. Token issuance, smart contracts
- The base speed can guarantee TPS 1000
-AI can run using smart contracts and operate in a decentralized manner.
-It is very simple to create smart contracts on DBC, simpler than centralized settlement.
- Low Gas Fees: One ten-thousandth of the monthly application fee
- One reason there is not a large number of applications in the blockchain industry is that the gas fees are too high.
-EVM compatible, reducing migration costs for developers
2. Decentralized AI Model Inference
-V God: When an individual becomes accustomed to using centralized AI, they may become susceptible to being kidnapped.
- Currently, the public chains on the market cannot support decentralized AI model inference.
- The initial investment cost for research and development in decentralization is enormous: it may take 3 to 4 years and tens of millions in investment to possibly create a product.
-DBC helps AI projects to incubate quickly (simple API interfaces, deployment of AI containers), reducing establishment costs and shortening R&D time: from 3 years to 3 months, investment reduced from tens of millions to millions.
-Address privacy concerns
- Pain point: The cost of computing power cannot be reduced.
3. Free use of GPU
Completely free to use GPT
- In the DBC ecosystem, contributors of computing power are very important.
- The high cost of computing power (buying, leasing) is a bottleneck that limits AI development.
- Many small and medium-sized AI projects and companies cannot afford to allocate enough money and resources to scale up a product.
- Users also cannot use the product at a very low cost.
- The project team allocates a certain proportion of tokens to reward miners. The project team issues tokens to gain more computing power.
AI Industry:
-0.2 : 9.8 Law: Nowadays, there is a serious surplus of high-end computing power, and a large amount of computing power demand is monopolized by leading companies. (Unequal resources, the hungry will starve, and the full will be overfed)
- Small and medium-sized AI computing power rental companies are unable to obtain orders.
- Most computing power rental companies also find it difficult to enter the system of leading AI companies.
-Decentralized AI aims to break the imbalance between computing power supply and demand. No one can restrict BTC mining, decentralization = no restrictions.
- Miners do not need to earn money based on AI orders, but rather join the DBC network to obtain various AI Tokens.
-All centralized AI projects will have a corresponding decentralized AI project.
Differences between DBC AI public chain and decentralized computing projects:
-Decentralized computing power projects (rental of GPUs): Users are mainly centralized AI enterprises that need to compete for customers with Google and Microsoft.
- The customer base of the AI public chain: AI developers. Empowering AI developers to open up a new market: decentralized AI.
- Committed to creating a brand new DeAI ecosystem: All AI developers can quickly restructure business models through a decentralized approach, thereby addressing the challenges faced by centralized AI.
-DBC project can run lightweight: create a brand new project ecosystem
-DBC is driving a new AI project ecosystem and blue ocean market together with Google, laying out plans 5-10 years in advance.
- In the next 5-10 years: Centralized AI: $10 trillion scale. Decentralized AI: At least $1 trillion scale or more.
- The competition in the centralized track is very fierce, with companies operating in every track, all following centralized business models, making it difficult to break through at the user level. Example: Decentralized AI image generation can achieve $1/month, while centralized products like MidJourney cannot reach $1/month.
- AI does not have the concept of user data, which leads to low migration costs for users.
- Characteristics of centralized AI: 1. High computing power costs, high fees. 2. Low user migration costs, making it difficult to raise prices. (Internal conflicts, intense competition)
- A fund is being established to incubate decentralized AI projects.
- Promote the prosperity of the DBC chain through the prosperity of projects on the public chain.