DeepBrain Chain DBC: The path of exploration of decentralized AI public chain, supporting the permanent operation of millions of AI Agents

Author: Mia, ChainCatcher

With the continuous development of various scientific and technological fields , blockchain and artificial intelligence technologies are working together to promote an unprecedented technological revolution. In this transformation, DeepBrainChain (DBC), as the 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. Through continuous technological innovation and ecological expansion, it has gradually built a stable, efficient, and secure decentralized AI public chain network.

In the process of learning more about DBC, we were fortunate enough to interview Feng, the founder of DBC. Feng shared DBC’s ecological vision and plan, making us full of expectations for the future of DBC.

The birth and growth of DBC

DBC, the full name of DeepBrainChain, was founded by Feng, who studied for a master's and doctoral degree in AI-related majors in 2019, and then dropped out of school 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 area. With experience in the blockchain industry, DBC has been committed to building a decentralized AI infrastructure from the beginning. It took 7 years for DBC to gradually develop from the original GPU distributed computing power network to the public chain network that supports the decentralized operation of AI models today.

In the early days of his business, Feng relied on his deep interest in artificial intelligence technology and early exploration experience to deeply understand the huge pressure on AI developers caused by the high cost of GPU computing power. Therefore, he came up with the idea of ​​combining blockchain technology with AI to reduce AI development costs, and led the team to continuously explore and innovate.

At present, DBC has experienced upgrading and transformation from 1.0 to 2.0 in the development process, overcoming multiple difficulties such as technical bottlenecks, low market awareness, and regulatory policy uncertainty. The team has improved the decentralized operating efficiency and stability of the AI ​​model by continuously developing new algorithms and optimizing system performance. At the same time, DBC is also compatible with the Ethereum Virtual Machine (EVM) smart contract standard, which lowers the technical threshold for developers and attracts more developers to join the ecosystem.

DBC’s core values

When talking about the product positioning of DeepBrainChain, Feng said that DBC is positioned as an artificial intelligence public chain and is committed to building deAI infrastructure to help AI developers quickly develop deAI products and shorten the research and development time from 3 years to 3 months. This infrastructure consists of three core functional features:

The basic functions of the public chain support the issuance of Token and the development of smart contracts;

Decentralized AI model operation provides a decentralized environment for the operation of AI models;

As well as free GPU, developers can obtain GPU resources by issuing Tokens and activating the mining mechanism.

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

1. Operation of decentralized AI models

The biggest highlight of DBC is that it supports the decentralized operation of AI models. This means that AI models no longer rely 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 model, but also reduces the operating cost of the AI ​​model, allowing more small and medium-sized AI projects to be implemented. On the DBC platform, AI developers can make full use of GPU resources around the world to achieve efficient and stable model operation.

2. Bringing together AI developers and GPU miners

DBC effectively brings together AI developers and GPU miners through the currency issuance mechanism. AI developers can issue coins on the platform and use these coins to pay for GPU computing power, thereby realizing free use of GPU computing power. GPU miners 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 of AI developers, but also attracts more GPU miners to join the DBC ecosystem, further promoting the development of the ecosystem.

3. 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 lowers the technical threshold for developers and attracts more developers to join the DBC ecosystem. At the same time, compatibility with the EVM smart contract standard also enables DBC to seamlessly connect with the Ethereum ecosystem, further expanding its application scenarios and potential user groups.

DBC ecological development

1. Rich ecological participants

The DBC ecosystem involves multiple participants, including AI developers, GPU miners, users and DBC token holders. These participants together constitute the DBC ecosystem, which promotes the prosperity and development of the ecosystem through mutual collaboration 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 the market. At the same time, they can also use the GPU computing power support and ecological resources provided by DBC to continuously improve 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 receive DBC token rewards. This incentive mechanism not only attracts more GPU miners to join the DBC ecosystem, but also promotes the prosperity and 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 ecological governance and share ecological development results by holding DBC tokens.
• DBC token holders: They are an important force in the DBC ecosystem. By holding DBC tokens, they can participate in ecological governance, obtain mining rewards, and share ecological development results. As the ecosystem continues to develop and grow, the value of DBC tokens will also continue to increase.

2. Representative project: DeepLink Protocol

DeepLink Protocol is one of the star projects in the DBC ecosystem. It provides an extremely low-latency rendering solution for cloud games by integrating AI and blockchain technology. This innovative application not only attracted millions of users to participate, but also demonstrated the huge potential of decentralized AI in the field of cloud gaming. The success of DeepLink Protocol not only brings more users and traffic to the DBC ecosystem, but also further enhances DBC's visibility and influence in the AI ​​field. As DeepLink Protocol continues to grow and develop, it will become a shining business card in the DBC ecosystem.

3. Decentralized AI Agent: The AI ​​Agent track has been hot recently. There are currently many AI Agent projects developed based on DBC. Feng said that based on DBC, a truly decentralized AI Agent can be developed. Currently, all AI agents on the market are centralized. Yes, to call the service of a centralized large language model behind the scenes, you need to pay the large model US dollars. Once the project party stops paying the fee, the entire AI agent will be paralyzed. The centralized AI with tokens is currently being hyped. Agent will die in the future. Before BTC, there were many centralized electronic currencies. No matter how hot they were, they all died out in the end. Decentralization is the future. The AI ​​agent developed based on DBC does not have this problem. The AI ​​model runs on GPU miners from around the world, and the AI ​​model will run permanently. AI agents based on DBC will be very powerful, Feng said. For example, there is the XAIAgent AI agent project, which can help each X account owner create his or her own AI agent virtual person, and can issue tokens to different X account AI agent virtual persons. . In the future, there will be millions of decentralized AI Agents on the DBC chain, Feng said confidently.

4 Cooperation with Google Cloud

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

Uniqueness and uniqueness of the project

DBC is currently the only decentralized AI public chain network on the market. Compared with other common decentralized AI projects such as Bittensor (TAO), IO.NET, etc., Feng listed the following details on its uniqueness and uniqueness: What time is it:

• Different customers: DBC aims to lower the technical threshold for AI developers to start businesses in the field of deAI, and has a symbiotic relationship with developers; while the decentralized GPU network mainly provides relatively cheap GPU resource rentals for AI companies, and has a buying and selling relationship with customers.
• Different positioning: DBC is positioned as ETH in the field of artificial intelligence; while the decentralized GPU network is more similar to decentralized AWS.
• The services provided are different: DBC provides developers with an AI model operating environment for issuing tokens, running smart contracts, and deAI, and does not rent out GPU computing power; while the decentralized GPU network only rents out GPU computing power.
• Different influences: DBC’s deAI application users all hold DBC, and the scale of currency holdings is growing rapidly; while users of the decentralized GPU network do not hold its tokens.
• The core resources are different: 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 the GPU.

However, in specific ecological operations, its advantages are mainly reflected in the following aspects:

• Wider ecological support: DBC not only supports the decentralized operation of AI models, but also provides AI developers with free GPU computing power support through currency issuance mechanisms and mining incentives. AI developers can develop AI more efficiently. model and bring it to market. AI models can run on GPUs around the world without relying on centralized servers. This decentralized operation method greatly improves the stability and security of the model. However, projects such as Bittensor mainly focus on decentralized reasoning of AI models, and their ecological support is relatively limited.
• Lower development costs: On the DBC platform, AI developers can pay for GPU computing power by issuing coins, and each AI model can issue an independent Token, thereby realizing 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 model’s independence and market competitiveness. By issuing tokens, AI models can gain wider user attention and support, and can also greatly reduce the cost of AI development, allowing more small and medium-sized AI projects to be implemented. Projects such as Bittensor require users to pay platform currency to use computing power, and the development cost is relatively high.
• • Stronger community participation: Through the currency issuance mechanism and mining incentives, DBC has also attracted a large number of GPU miners to participate in ecological construction. These miners not only provide computing power support, but also actively participate in ecological development through community governance and other methods. On the contrary, projects such as Bittensor have relatively low community participation and relatively slow ecological development.

DBC’s future prospects

Talking about the changes in DeepBrainChain in recent years, Feng said that DBC has evolved from a 1.0 decentralized GPU network to an artificial intelligence public chain, which is a revolutionary upgrade. During the development process, DBC encountered many technical challenges, because whether it was a decentralized GPU network or an artificial intelligence public chain, there was no reference object and needed to be explored on its own. In particular, how to combine the characteristics of the public chain with AI, how to ensure the stable operation of the AI ​​model and the stable provision of services in a decentralized environment, these are all explored in practice.

Feng also shared his personal technical experience. He said that as a technician, he often deduces in his brain while resting or flying. At this time, he will fall into a state of being separated from the surrounding environment. Many innovative ideas and technical ideas are here. time was born. Especially when encountering technical problems, for example, every GPU machine in a decentralized network runs an AI model. When the number of GPUs increases, network communication data increases exponentially. How to ensure that when a GPU machine has a problem, it can be processed at the extreme speed? Eliminating this GPU from the network in a short period of time to ensure the robustness of the entire network was solved through continuous thinking 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 investment in research and development, continuously launch new algorithms and technical optimization solutions, improve the performance and stability of the system, and actively expand application scenarios. and potential user groups to promote the application and development of decentralized AI in more fields; and further improve the community governance mechanism to encourage 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 operating 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 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 ecological construction through rich ecological support and incentive mechanisms. As the decentralized AI market continues to expand and technology continues to advance, DBC is expected to become a leader in the AI ​​field.