Quick Look at DeepBrainChain AI Public Chain Space Essence

On November 6th at 20:00, Odaily Planet Daily had the honor of inviting DeepBrainChain founder HE YONG to X Space, with the theme of "AI public chain, promoting trillion-dollar Decentralization; DBC AI public chain promoting trillion-dollar Decentralization", to delve into the development of the AI public chain field.

HE YONG detailed the market background and the specific ecological progress of the DeepBrainChain AI public chain on Space, and shared the essence as follows:

What is AI public chain?

Simply put, it is a public chain that can run AI models in a decentralized manner.

Must support 3 core capabilities:

1. Public chain basic functions: support TOKEN issuance and development of Smart Contracts

2. Decentralization AI model operation: providing a Decentralization environment for the operation of AI models

3. Free GPU: Developers obtain the usage resources of GPU by initiating the Mining mechanism through the issuance of TOKEN.

What are the features of the DeepBrainChain AI public chain? What are the benefits of AI projects based on DB for DBC?

DeepBrainChain AI public chain can provide the above three core capabilities at the same time. With more and more AI projects joining, DBC has not only gained a large number of GPU resources and user support, but also promoted the activity of DBC Token. The more GPUs in the DeepBrainChain network, the more DBC Tokens will be destroyed, and this mechanism drives the common prosperity of DBC and AI projects, forming a positive ecological cycle. For example, DeepLink: Decentralization's AI cloud gaming protocol.

Taking DeepLink as an example, its Orion GPU competition offers up to 9 million dollars in TOKEN rewards to attract GPU providers. Participants need to first join the DBC network with their GPUs before they can participate in the competition. This initiative is expected to attract over 2000 GPUs to join DBC. DeepLink now has over 2.6 million users worldwide, with over 1.4 million users holding DBC Tokens, paying gas fees for DLC transfers. This large user base and active ecosystem inject strong momentum into the development of DeepBrainChain.

Decentralization AI What are the unique needs and pain points of the decentralized AI market compared to the traditional centralized AI market? How do these pain points drive the rapid rise of the market?

Decentralization AI is a new entrepreneurial track, currently a blue ocean market. For entrepreneurs, participating in Decentralization AI entrepreneurship means facing fewer competitors and engaging in asset-light entrepreneurship. It only requires the issuance of Token to develop Smart Contracts and AI models, establish rules, and does not require the purchase of GPU server resources. GPUs are provided by Miners, and users are incentivized through Token rewards, resulting in faster acquisition speeds.

So now more and more entrepreneurs are realizing the market of Decentralization AI.

What are the urgent needs for Decentralization AI solutions in current industries? How does DeepBrain Chain DBC position its own advantages to meet these industry needs?

Decentralization AI is a reference to centralized AI, and Decentralization transformation can be applied to almost every industry, re-implementing centralized AI products in a Decentralization manner.

The development of Decentralization AI products is very difficult, and it requires a high level of requirement for the team. It needs AI scientists, blockchain experts, and distributed experts. The R&D cycle is very long, and it generally takes 3-4 years to launch the product to the market. This hinders the innovation of Decentralization AI.

So DeepBrain Chain (DBC) has developed an AI public chain based on this industry situation, which has cost 100 million US dollars and taken 7 years. The AI public chain can help reduce research and development time and costs by 90%, greatly accelerating the arrival of Decentralization AI.

What is the market positioning and core competitiveness of Decentralization AI compared to traditional AI cloud service providers like AWS and Google Cloud? How to attract users who have demand for Decentralization to switch to DBC?

DeepBrain Chain (DBC) has a strategic partnership with traditional AI cloud service providers. For example, DBC recently collaborated with Google Cloud to jointly host a conference on November 28th to promote the future of Decentralized AI. The decentralized AI projects built on DeepBrain Chain DBC require a large amount of GPU resources, which come from Miners involved in these projects. However, many Miners do not have GPUs, so they can rent GPUs from Google Cloud, bringing more revenue to centralized GPU cloud providers. Google Cloud was the first to recognize the tremendous opportunity in this and thus collaborated with DBC to drive this market forward.

Decentralization AI What could be the future scale of the market? How does DBC position itself to seize this rapid rise in the market opportunity?

The market of Decentralization AI is expected to reach a trillion-dollar scale in the future. Every centralized AI can be reshaped through a decentralized business model, such as OpenAI, which can have a Decentralization version. For example, DcentralGPT, which is a Decentralization large language model AI project built on the DBC AI public chain, is developing very quickly.

DBC in this market is to provide technical infrastructure, allowing developers to quickly develop and launch Decentralization AI applications, and provide funding, technology, and other support to jointly promote the development of this market.

What are the excellent Decentralization AI projects developed based on DBC at present?

There are already many leading AI projects flourishing on the DBC AI blockchain, including but not limited to:

• DecentralGPT: Decentralized AI language model inference network, which is about to launch a million-dollar GPU competition

• AIDF: Financial prediction AI platform of Decentralization

• AITalk: AI conversation platform Decentralization

• SuperImage: AI that generates decentralized images

• DeepVideo: AI for Decentralized Video Generation

• BioFold: Decentralized AI network for predicting the structure of biomolecules

• Hyper 3D: Decentralization's 3D model generation AI

• GameNPC: Decentralization's game AI NPC

• MathAI: The math teacher of Decentralization

• GamerGPT: AI Esports Player of Decentralization

These projects have not only disrupted the traditional models in their respective AI fields, but the total valuation of these AI projects has now exceeded $1 billion, demonstrating the market potential and ecological vitality of the DeepBrainChain AI public chain.

With more and more AI projects choosing to build on top of the DBC AI public chain, the user base and influence of DBC will rise rapidly. The DeepBrainChain AI public chain is activating a trillion-dollar Decentralization AI market, leading the development of Decentralization AI.