With the continuous development of various technological fields, Blockchain and artificial intelligence (AI) technologies are working together to drive an unprecedented technological revolution. In this transformation, DeepBrainChain (DBC), as the pioneer of a decentralized AI public chain, is leading the future development of the AI industry with its unique charm and infinite potential. Since its establishment in 2017, DBC has been committed to building a decentralized AI infrastructure, and through continuous technological innovation and ecosystem expansion, it has gradually built a stable, efficient, and secure decentralized AI public chain network.
In the process of delving deeper into DBC, we had the privilege of interviewing the founder of DBC, Feng. Feng shared DBC's ecological vision and planning, which has filled us with anticipation for DBC's future.
The birth and growth of DBC DBC, full name DeepBrainChain, was founded by Feng. Feng pursued a master's and doctoral degree in AI-related fields from 2019, and then dropped out in 2011 to start a business in the field of artificial intelligence. When he founded DBC, he already had 8 years of experience in the AI field and 1 year of experience in the Blockchain industry, so DBC has been committed to building a decentralized AI infrastructure from the very beginning. It took DBC 7 years to evolve from an initial GPU distributed computing capability network to the current public chain network that supports the decentralized operation of AI models.
In the early stages of entrepreneurship, Feng, driven by his deep interest in AI technology and early exploration experience, deeply felt the tremendous pressure on AI developers caused by the high cost of GPU computing power. Therefore, he conceived the idea of combining Blockchain technology with AI to reduce the cost of AI development, and led the team to continuously explore and innovate.
Currently, DBC has experienced an upgrade and transformation from version 1.0 to 2.0 in its development process, overcoming multiple challenges such as technical bottlenecks, low market awareness, and uncertain regulatory policies. The team has continuously developed new algorithms and optimized system performance, improving the efficiency and stability of the decentralized operation of AI models. At the same time, DBC is also compatible with the Ethereum Virtual Machine (EVM) smart contract standard, reducing the technical threshold for developers and attracting more developers to join the ecosystem.
The core value of DBC Regarding the product positioning of DeepBrainChain, Feng stated that DBC is positioned as an AI public chain, committed to building a deAI infrastructure to help AI developers quickly develop deAI products, shortening the development time from 3 years to 3 months. This infrastructure includes three core functional features:
Public chain basic functions, supporting Token issuance and smart contract development;
Decentralized AI model operation, providing a decentralized environment for the operation of AI models;
And free GPU, where developers can issue Tokens to activate the mining mechanism and obtain GPU usage resources.
The core value of DBC can be summarized in the following three points:
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 depend on centralized servers, but can run on GPUs around the world. This decentralized operating model not only greatly improves the stability and security of the models, but also reduces the running cost of AI models, enabling more small and medium-sized AI projects to be implemented. On the DBC platform, AI developers can fully utilize the GPU resources around the world to achieve efficient and stable model operation.
Matching AI developers with GPU miners DBC, through its Token mechanism, effectively matches AI developers and GPU miners. AI developers can issue Tokens on the platform and use these Tokens to pay for GPU computing power, thereby realizing the free use of GPU computing power. GPU miners, on the other hand, can obtain Token rewards by providing computing power. This win-win model greatly promotes the prosperity of the ecosystem. This matching mechanism not only reduces the cost 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 standard DBC is also compatible with the Ethereum Virtual Machine (EVM) smart contract standard, which allows existing DApps to be seamlessly migrated to the DBC platform. This feature reduces the technical threshold for developers and attracts more developers to join the DBC ecosystem. At the same time, the compatibility with the EVM smart contract standard also allows DBC to seamlessly integrate with the Ethereum ecosystem, further expanding its application scenarios and potential user base.
The ecological development of DBC Diverse ecosystem participantsThe DBC ecosystem involves multiple participants, including AI developers, GPU miners, users, and DBC Token holders. These participants together form the DBC ecosystem, and through mutual cooperation and incentives, they drive the prosperous development of the ecosystem.
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 the market. At the same time, they can also use the GPU computing power support and ecosystem resources provided by DBC to continuously enhance their technical capabilities and market competitiveness.
GPU miners: They are another important participant in the DBC ecosystem. By providing GPU computing power, GPU miners can receive DBC Token rewards. This incentive mechanism not only attracts more GPU miners to join the DBC ecosystem, but also promotes the prosperity 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 fruits 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, obtain mining rewards, and share the fruits of ecosystem development. As the ecosystem continues to grow and develop, the value of DBC Tokens will also continue to rise.
Representative project: DeepLink Protocol DeepLink Protocol is one of the star projects in the DBC ecosystem. By integrating AI and Blockchain technology, it provides an ultra-low latency rendering solution for cloud gaming. This innovative application has attracted millions of users to participate, and has also demonstrated the huge potential of decentralized AI in the cloud gaming field. The success of DeepLink Protocol has not only brought more users and traffic to the DBC ecosystem, but also further enhanced the reputation and influence of DBC in the AI field. As DeepLink Protocol continues to grow and develop, it will become a shining business card in the DBC ecosystem.
Decentralized AI Agent: The AI Agent track has been hot recently, and there are currently multiple AI Agent projects based on DBC development. Feng said that based on DBC, it is possible to develop truly decentralized AI Agents. The AI agents currently on the market are centralized, calling the services of centralized large language models in the background, and need to pay US dollars to the large models. Once the project party stops paying the fees, the entire AI agent will be paralyzed. The future of the currently hyped centralized AI Agents with Tokens will die out, just as there were many centralized digital currencies before BTC, no matter how hot they were, they eventually disappeared. Decentralization is the future. The AI agents developed based on DBC do not have this problem, as the AI models are running on GPUs from global miners, and the AI models will run permanently. Feng said that the AI agents based on DBC will be very powerful, such as the XAIAgent AI agent project, which can help each X account owner create their own AI agent virtual person and issue Tokens for different X account AI agent virtual persons. In the future, there will be hundreds of thousands of decentralized AI Agents on the DBC chain, Feng said confidently.
Cooperation with Google Cloud DBC's cooperation with Google Cloud is another highlight in its ecosystem development. Google Cloud provides DBC with powerful computing power support, allowing more GPU miners to participate in ecosystem construction. At the same time, DBC also attracts more users and developers to join the ecosystem through Google Cloud's channels. This cooperation model not only promotes the rapid development and expansion of the ecosystem, but also brings a win-win situation for both parties. Through the cooperation with Google Cloud, DBC further expands its application scenarios and potential user base. Meanwhile, Google Cloud also leverages the platform advantages of DBC to further promote its development in the AI field.
The uniqueness and uniqueness of the project Compared to other common decentralized AI projects such as Bittensor (TAO) and IO.NET, Feng detailed the following points regarding the uniqueness and uniqueness of DBC:
Here is the English translation:Different customers: DBC aims to lower the technical threshold for AI developers to start businesses in the deAI field, and the relationship with developers is symbiotic; while the decentralized GPU network mainly provides relatively cheap GPU resources for AI companies, and the relationship with customers is a buyer-seller relationship. Different positioning: DBC is positioned as the ETH in the field of artificial intelligence; while the decentralized GPU network is more similar to a decentralized AWS. Different services provided: DBC provides developers with Token issuance, smart contract operation, and the running environment of deAI AI models, and does not rent out GPU computing power; while the decentralized GPU network only rents out GPU computing power. Different influence: The users of DBC's deAI applications all hold DBC, and the scale of token holders is growing rapidly; while the users of the decentralized GPU network do not hold its tokens. Different core resources: The core resource of DBC is the underlying technology, which supports AI projects to issue smart contracts and run AI models in a decentralized manner; while the core resource of the decentralized GPU network is GPU. However, the advantages are mainly reflected in the following aspects in the specific ecosystem operation:
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 the token issuance mechanism and mining incentives, so that AI developers can develop AI models more efficiently and bring them to the market. AI models can run on GPUs around the world without relying on centralized servers. This decentralized operation mode greatly improves the stability and security of the models, while projects like Bittensor mainly focus on the decentralized inference of AI models, and the ecosystem support is relatively limited. Lower development costs: On the DBC platform, AI developers can pay for GPU computing power by issuing tokens, and each AI model can issue an independent Token to realize free use of GPU computing power. At the same time, this mechanism not only provides financing and incentive means for AI models, but also enhances the independence and market competitiveness of the models. By issuing Tokens, AI models can gain wider user attention and support, and greatly reduce the cost of AI development, allowing more small and medium-sized AI projects to be implemented. While projects like Bittensor require users to pay platform tokens to use computing power, the development cost is relatively high. 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. In contrast, the community participation of projects like Bittensor is relatively low, and the ecosystem development is relatively slow.
Feng mentioned the changes of DeepBrainChain in recent years, saying that DBC has evolved from a 1.0 decentralized GPU network to an artificial intelligence public chain, which is a revolutionary upgrade. In the development process, DBC has encountered many technical challenges, because whether it is a decentralized GPU network or an artificial intelligence public chain, there is no reference object, and it needs to explore on its own. Especially how to combine the characteristics of the public chain and AI, how to ensure that the AI model can run stably and provide services stably in the decentralized environment, these are all explored in practice.
Feng also shared his personal technical experience, saying that as a technical person, he often ponders in his brain during rest or flight, and at this time he will fall into a state of detachment from the surrounding environment, and many innovative ideas and technical ideas are born at this time. Especially when facing technical difficulties, such as when each GPU machine in the decentralized network runs an AI model, as the number of GPUs increases, the network communication data grows exponentially, how to ensure that when a GPU machine has a problem, it can be excluded from the network in a very short time to ensure the robustness of the entire network, these are all solved through continuous thinking and practice.
DBC's ultimate vision is to become the world's leading decentralized AI public chain network, and it will continue to increase R&D investment in the future, continuously introduce new algorithms and technical optimization solutions, and improve the performance and stability of the system; at the same time, it will actively expand application scenarios and potential user groups, promote the application and development of decentralized AI in more fields; and further improve the community governance mechanism, encourage more community members to participate in ecosystem construction and governance.
As the only decentralized AI public chain network in the current market, DeepBrainChain, with its unique decentralized AI model running 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 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 ecosystem construction through rich ecosystem support and incentive mechanisms. As the decentralized AI market continues to expand and technology continues to progress, DBC is expected to become a leader in the field of AI.
