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 unlimited potential. Since its establishment in 2017, DBC has been committed to building a decentralized AI infrastructure, gradually constructing a stable, efficient, and secure decentralized AI public chain network through continuous technological innovation and ecosystem expansion.
In the process of gaining a deeper understanding of DBC, we were fortunate to interview DBC's founder, Feng. Feng shared DBC's ecosystem vision and planning, making us full of expectations for DBC's future.
The birth and growth of DBC
DBC, short for DeepBrainChain, was founded by Feng, who pursued a master's and doctoral degree in AI-related fields from 2019. He dropped out in 2011 to start his entrepreneurship in artificial intelligence, bringing with him 8 years of experience in the AI field and 1 year in the blockchain industry when founding DBC. Thus, DBC has been dedicated to building a decentralized AI infrastructure from the very beginning. DBC has evolved from an initial network of distributed GPU computing capabilities to a public chain network that supports the decentralized operation of AI models over the course of 7 years.
In the early stages of entrepreneurship, Feng, with a profound interest in artificial intelligence technology and early exploration experience, deeply realized the enormous pressure that high GPU computing costs exert on AI developers. Hence, 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 an upgrade and transformation from 1.0 to 2.0 during its development process, 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 decentralized operation efficiency and stability of AI models. 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 an artificial intelligence public chain dedicated to building deAI infrastructure, helping AI developers rapidly develop deAI products, shortening development time from 3 years to 3 months. This infrastructure includes three core functional characteristics:
Basic functions of the public chain, supporting the issuance of tokens and the development of smart contracts;
Decentralized operation of AI models provides a decentralized environment for the operation of AI models;
and free GPUs, enabling developers to obtain GPU usage resources by issuing tokens and initiating mining mechanisms.
The core values of DBC can be summarized in three points:
The operation of decentralized 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 models but also reduces the operating costs of AI models, allowing more small and medium-sized AI projects to be realized. On the DBC platform, AI developers can fully utilize GPU resources globally to achieve efficient and stable model operations.
Connecting AI developers and GPU miners
Through the 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 power. Meanwhile, GPU miners earn token rewards by providing computing power. This win-win model 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.
Compatible with EVM smart contract standards
DBC is also compatible with the Ethereum Virtual Machine (EVM) smart contract standard, allowing existing DApps to seamlessly migrate to the DBC platform. This feature lowers the technical threshold for developers and attracts more developers to join the DBC ecosystem. At the same time, compatibility with EVM smart contract standards enables DBC to seamlessly connect with the Ethereum ecosystem, further expanding its application scenarios and potential user base.
The development of the DBC ecosystem
Rich ecosystem 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 the prosperity and development of the ecosystem 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 also utilize the GPU computing power support and ecosystem 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 has not only attracted more GPU miners to join the DBC ecosystem but also promoted 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 also participate in ecosystem governance and share the results of ecosystem development by holding DBC tokens.
DBC token holders: They are an important force in the DBC ecosystem. By holding DBC tokens, they can participate in ecosystem governance, earn mining rewards, and share the results of ecosystem development. As the ecosystem continues to grow, the value of DBC tokens will also continue to rise.
Representative project: DeepLink Protocol
The DeepLink Protocol is one of the star projects in the DBC ecosystem. It provides an ultra-low latency rendering solution for cloud gaming by integrating AI with blockchain technology. This innovative application has attracted millions of users and demonstrates the immense potential of decentralized AI in the cloud gaming field. The success of the DeepLink Protocol not only brings more users and traffic to the DBC ecosystem but also further enhances DBC's reputation and influence in the AI field. With the continued growth of the DeepLink Protocol, it will become a shining card for the DBC ecosystem.
Decentralized AI Agent: The AI Agent track is currently very hot, and several AI Agent projects have already been developed based on DBC. Feng said that truly decentralized AI Agents can be developed based on DBC. Currently, AI agents on the market are centralized and rely on centralized large language models that require payment in dollars. Once the project party stops paying fees, the entire AI agent will collapse. Many centralized electronic currencies existed in the past, regardless of how popular they were, they eventually perished; decentralization is the future. AI agents developed based on DBC do not have this problem; AI models run on GPUs provided by miners worldwide and will operate permanently. AI agents based on DBC will be very powerful. For example, there is 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 Cooperation with Google Cloud
The collaboration between DBC and Google Cloud is another highlight in the development of the ecosystem. Google Cloud provides strong computing power support for DBC, enabling more GPU miners to participate in ecosystem construction. At the same time, DBC has also attracted more users and developers to join the ecosystem through Google Cloud's channels. This cooperation model not only promotes the rapid development of the ecosystem but also brings a win-win situation for both parties. Through collaboration with Google Cloud, DBC further expands its application scenarios and potential user base. At the same time, Google Cloud also 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 like 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 in the deAI field, maintaining a symbiotic relationship with developers; while decentralized GPU networks primarily provide relatively cheap GPU resource rentals to AI companies, maintaining a buyer-seller relationship with clients.
Different positioning: DBC is positioned as the ETH of the artificial intelligence field; whereas 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 an environment for deAI model operations, rather than renting out GPU computing power; while decentralized GPU networks only rent out GPU computing power.
Different influences: Users of DBC's deAI applications all hold DBC tokens, and the scale of token holdings is rapidly growing; while users of decentralized GPU networks do not hold their tokens.
Different core resources: DBC's core resources are underlying technologies that support AI projects in issuing smart contracts and decentralized operation of AI models; while the core resources of decentralized GPU networks are GPUs.
However, in the specific operation of the ecosystem, its advantages are mainly reflected in the following aspects:
Broader ecosystem support: DBC not only supports the decentralized operation of AI models, but also provides free GPU computing power 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 significantly improves the stability and security of models, while projects like Bittensor mainly focus on decentralized inference of AI models, with relatively limited ecosystem support.
Lower development costs: On the DBC platform, AI developers can pay for GPU computing power through token issuance, with each AI model able to issue an independent token, thus achieving free use of GPU computing power. At the same time, this mechanism not only provides financing and incentive measures for AI models but also enhances the independence and market competitiveness of models. By issuing tokens, AI models can gain broader user attention and support, significantly reducing the costs of AI development, making it possible for 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 the token issuance mechanism and mining incentives, DBC has also attracted a large number of GPU miners to participate in ecosystem construction. These miners not only provide computing power support but also actively participate in ecosystem development through community governance and other means. In contrast, projects like Bittensor have relatively low community participation and slower ecosystem development.
Future prospects of DBC
Talking about the changes in DeepBrainChain over the years, Feng stated that DBC has evolved from a decentralized GPU network in 1.0 to an artificial intelligence public chain, which is a revolutionary upgrade. During the development process, DBC faced numerous technical challenges as there were no reference objects for either a decentralized GPU network or an artificial intelligence public chain; it required exploration on its own. Especially how to combine the characteristics of public chains with AI, and how to ensure the stable operation of AI models in a decentralized environment and provide stable services, all of these were discovered through practice.
Feng also shared personal technical experiences, stating that as a technician, he often simulates in his mind during breaks or flights, entering a state of detachment from the surrounding environment. Many innovative ideas and technical thoughts are born during these times. Especially when encountering technical difficulties, such as how each GPU machine runs an AI model within a decentralized network, as the number of GPUs increases, the network communication data grows exponentially. Ensuring that when a GPU machine fails, it can be excluded from the network in the shortest possible time to maintain the robustness of the entire network are all resolved through continuous thinking and practice.
DBC's ultimate vision is to become the world's leading decentralized AI public chain network. In the future, it will continue to increase investment in research and development, constantly launch new algorithms and technical optimization solutions, enhance system performance and stability; actively expand application scenarios and potential user bases, promote the application and development of decentralized AI in more fields; and further improve community governance mechanisms, encouraging more community members to participate in ecosystem construction and governance.
As the only decentralized AI public chain network currently on the market, DeepBrainChain, with its unique decentralized AI model operation mechanism and rich ecosystem support, is leading the transformation of the AI industry. Through continuous technological innovation and ecosystem 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 worthy of attention and exploration. 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 ecosystem construction through rich ecosystem 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.
