Deep Brain Chain DBC: The exploration path of a decentralized AI public chain, supporting the permanent operation of millions of AI agents

Author: Mia, ChainCatcher

With the continuous development of various technological fields, blockchain and artificial intelligence technologies are jointly driving an unprecedented technological revolution. In this transformation, DeepBrainChain (DBC), as a pioneer of decentralized AI public chains, is leading the future development of the AI industry with its unique charm and limitless potential. Since its establishment in 2017, DBC has been dedicated to building a decentralized AI infrastructure, gradually constructing a stable, efficient, and secure decentralized AI public chain network through continuous technological innovation and ecological expansion.

During our in-depth understanding of DBC, we had the privilege of interviewing DBC's founder, Feng. Feng shared DBC's ecological vision and plans, filling us with anticipation for DBC's future.

The Birth and Growth of DBC

DBC, short for DeepBrainChain, was founded by Feng, who began a master's and doctoral program in AI-related fields in 2019. After dropping out in 2011 to start a career in artificial intelligence, he already had 8 years of experience in the AI field and 1 year in the blockchain industry when he founded DBC. Thus, DBC has been committed from the very beginning to building a decentralized AI infrastructure. DBC has gradually evolved from an initial GPU distributed computing capability network to a public chain network that supports the decentralized operation of AI models, taking 7 years to achieve this.

In the early stages of entrepreneurship, Feng, with a profound interest in artificial intelligence technology and early exploration experience, deeply felt the immense pressure that high GPU computing costs placed on AI developers. Therefore, he conceived the idea of combining blockchain technology with AI to reduce AI development costs and led the team in continuous exploration and innovation.

Currently, DBC has undergone upgrades and transformations from 1.0 to 2.0 during its development, overcoming multiple difficulties such as technical bottlenecks, low market awareness, and regulatory policy uncertainties. The team has continuously developed new algorithms and optimized system performance, improving the efficiency and stability of decentralized AI model operations. At the same time, DBC is also compatible with the Ethereum Virtual Machine (EVM) smart contract standard, lowering the technical threshold for developers and attracting more developers to join the ecosystem.

Core Values of DBC

When discussing the product positioning of DeepBrainChain, Feng stated that DBC is positioned as a public chain for artificial intelligence, dedicated to building a deAI infrastructure that helps AI developers quickly develop deAI products, reducing development time from 3 years to 3 months. This infrastructure includes three core functional features:

• Basic functions of the public chain, supporting the issuance of tokens and the development of smart contracts;
• Decentralized AI model operation, providing a decentralized environment for the operation of AI models;
• Free GPU, where developers can issue tokens to initiate a mining mechanism to obtain GPU usage resources.

The core values of DBC can be summarized in three points:

1. Decentralized operation of AI models

The biggest highlight of DBC is its support for the decentralized operation of AI models. This means that AI models no longer rely on centralized servers but can run on GPUs worldwide. This decentralized operation model not only greatly improves the stability and security of the models but also reduces the operational costs of AI models, enabling more small and medium-sized AI projects to be realized. On the DBC platform, AI developers can fully utilize GPU resources globally for efficient and stable model operation.

2. Connecting AI developers with GPU miners

Through its token issuance mechanism, DBC effectively connects AI developers and GPU miners. AI developers can issue tokens on the platform and use these tokens to pay for GPU computing power, thus achieving free use of GPU computing resources. GPU miners, in turn, earn token rewards by providing computing power, creating a win-win model that greatly promotes the prosperity of the ecosystem. This matching mechanism not only reduces costs for AI developers but also attracts more GPU miners to join the DBC ecosystem, further driving the development of the ecosystem.

3. Compatibility with EVM smart contract standards

DBC is also compatible with the Ethereum Virtual Machine (EVM) smart contract standard, allowing existing DApps to migrate seamlessly to the DBC platform. This feature lowers the technical threshold for developers and attracts more developers to join the DBC ecosystem. Additionally, compatibility with EVM smart contract standards enables DBC to interface seamlessly with the Ethereum ecosystem, further expanding its application scenarios and potential user base.

Ecological Development of DBC

1. Diverse ecological participants

The DBC ecosystem involves multiple participants, including AI developers, GPU miners, users, and DBC token holders. These participants together form the DBC ecosystem, promoting its prosperous development through mutual cooperation and incentives.

• AI Developers: They are one of the core participants in the DBC ecosystem. Through the DBC platform, AI developers can develop AI models more efficiently and bring them to market. At the same time, they can leverage the GPU computing support and ecological resources provided by DBC to continuously enhance their technical strength and market competitiveness.
• GPU Miners: They are another important participant in the DBC ecosystem. By providing GPU computing power, GPU miners can earn DBC token rewards. This incentive mechanism not only attracts more GPU miners to join the DBC ecosystem but also promotes the prosperous development of the ecosystem.
• Users: They are the ultimate beneficiaries of the DBC ecosystem. Through the DBC platform, users can enjoy the convenience and advantages brought by decentralized AI. At the same time, they can participate in ecological governance and share in the ecological development results by holding DBC tokens.
• DBC Token Holders: They are an important force within the DBC ecosystem. By holding DBC tokens, they can participate in ecological governance, earn mining rewards, and share in the ecological development results. As the ecosystem continues to grow, the value of DBC tokens will also continue to rise.

1. Representative Project: DeepLink Protocol

DeepLink Protocol is one of the star projects in the DBC ecosystem. It provides a low-latency rendering solution for cloud gaming by integrating AI and blockchain technology. This innovative application has attracted millions of users and showcased the immense potential of decentralized AI in the cloud gaming sector. The success of DeepLink Protocol has not only brought more users and traffic to the DBC ecosystem but has also further enhanced DBC's visibility and influence in the AI field. As DeepLink Protocol continues to grow, it will become a shining business card for the DBC ecosystem.

3. Decentralized AI Agent: The AI Agent track is currently hot, and several AI Agent projects have been developed based on DBC. Feng stated that it is possible to develop truly decentralized AI Agents based on DBC. Currently, AI agents on the market are centralized and rely on centralized large language model services, requiring payment in dollars to the large model. Once the project party stops paying, the entire AI agent will collapse. Many centralized electronic currencies in the past, regardless of how hot they were, eventually disappeared; decentralization is the future. AI agents developed based on DBC do not have this issue, as AI models run on GPUs from global miners, ensuring that AI models will run indefinitely. AI agents based on DBC will be very powerful, Feng said, for example, an XAIAgent AI agent project that can help each X account holder create their own AI agent avatar and issue tokens for different X account AI agent avatars. In the future, there will be millions of decentralized AI Agents on the DBC chain, Feng confidently stated.

4. Collaboration with Google Cloud

The collaboration between DBC and Google Cloud is another highlight in the ecological development. Google Cloud provides strong computing power support for DBC, enabling more GPU miners to participate in ecosystem construction. At the same time, DBC has attracted more users and developers to join the ecosystem through Google Cloud's channels. This cooperative model not only promotes the rapid development and growth of the ecosystem but also creates a win-win situation for both parties. Through collaboration with Google Cloud, DBC further expands its application scenarios and potential user base. Meanwhile, Google Cloud leverages DBC's platform advantages to further promote its development in the AI field.

Uniqueness and Distinctiveness of the Project

DBC is currently the only decentralized AI public chain network on the market. Compared to other common decentralized AI projects such as Bittensor (TAO) and IO.NET, Feng detailed the following points regarding its uniqueness and distinctiveness:

• Different Clients: DBC aims to lower the technical threshold for AI developers starting businesses in the deAI field, fostering a symbiotic relationship with developers; whereas decentralized GPU networks primarily provide relatively inexpensive GPU resource rentals to AI companies, establishing a buyer-seller relationship.
• Different Positioning: DBC is positioned as the ETH of the artificial intelligence field; while decentralized GPU networks are more akin to decentralized AWS.
• Different Services Provided: DBC provides developers with the ability to issue tokens, run smart contracts, and operate AI models in a deAI environment, rather than renting out GPU computing power; whereas decentralized GPU networks only rent out GPU computing power.
• Different Influence: Users of DBC's deAI applications all hold DBC tokens, and the scale of token holding is rapidly growing; while users of decentralized GPU networks do not hold their tokens.
• Different Core Resources: DBC's core resource is underlying technology that supports AI projects in issuing smart contracts and running AI models in a decentralized manner; while the core resource of decentralized GPU networks is GPUs.

However, in the specific operation of the ecosystem, its advantages mainly manifest in the following aspects:

• Broader Ecological Support: DBC not only supports the decentralized operation of AI models but also provides free GPU computing support for AI developers through token issuance mechanisms and mining incentives. AI developers can develop AI models more efficiently and bring them to market. AI models can run on GPUs worldwide without relying on centralized servers. This decentralized operation greatly enhances the stability and security of the models, while projects like Bittensor mainly focus on decentralized inference of AI models, with relatively limited ecological support.
• Lower Development Costs: On the DBC platform, AI developers can pay for GPU computing power by issuing tokens, with each AI model able to issue an independent token, thus achieving free use of GPU computing resources. This mechanism not only provides financing and incentives for AI models but also enhances their independence and market competitiveness. By issuing tokens, AI models can gain broader user attention and support, significantly reducing AI development costs and enabling more small and medium-sized AI projects to be realized. In contrast, projects like Bittensor require users to pay platform tokens to use computing power, resulting in relatively high development costs.
• Stronger Community Participation: Through token issuance mechanisms and mining incentives, DBC has attracted a large number of GPU miners to participate in ecosystem construction. These miners not only provide computing power support but also actively engage in ecological development through community governance. In contrast, community participation in projects like Bittensor is relatively low, leading to slower ecological development.

Future Outlook for DBC

When discussing the changes in DeepBrainChain over the years, Feng stated that DBC has evolved from a decentralized GPU network to an artificial intelligence public chain, marking a revolutionary upgrade. During the development process, DBC encountered numerous technical challenges, as neither decentralized GPU networks nor artificial intelligence public chains had reference models, requiring independent exploration. Particularly, figuring out how to combine the characteristics of public chains with AI, and ensuring that AI models operate stably and provide consistent services in a decentralized environment, were all discovered through practical exploration.

Feng also shared his personal technical experiences, stating that as a technical person, he often simulates ideas in his mind during breaks or flights, entering a state of detachment from the surrounding environment, where many innovative ideas and technical concepts are born. Especially when facing technical challenges, such as when each GPU machine in a decentralized network runs an AI model, the amount of network communication data grows exponentially as the number of GPUs increases. Ensuring that when a GPU machine malfunctions, it can be removed from the network in a very short time to maintain the robustness of the entire network, are all problems solved through continuous thought and practice.

The ultimate vision of DBC is to become the world's leading decentralized AI public chain network. In the future, it will continue to increase R&D investment, continuously launch new algorithms and technical optimization solutions, enhance system performance and stability; actively expand application scenarios and potential user groups, promoting the application and development of decentralized AI in more fields; and further improve community governance mechanisms, encouraging more community members to participate in ecological construction and governance.

As the only decentralized AI public chain network currently on the market, DeepBrainChain is leading the transformation of the AI industry with its unique decentralized AI model operation mechanism and rich ecological support. Through continuous technological innovation and ecological expansion, DBC is gradually building a stable, efficient, and secure decentralized AI public chain network.

For AI practitioners and developers, DBC is undoubtedly a platform worth paying attention to and exploring. It not only provides AI developers with a more efficient, stable, and secure development environment but also attracts a large number of GPU miners and users to participate in ecological construction through rich ecological support and incentive mechanisms. With the continuous expansion of the decentralized AI market and ongoing technological advancements, DBC is expected to become a leader in the AI field.