ChatGPT just celebrated its two-year anniversary online. In these two years, the world has undergone many changes, and the resurgence of AI technology is an undeniable force. OpenAI quickly became the focus and sparked concerns and controversies. Musk openly criticized OpenAI, believing that its operation is not as 'open' as its name implies. From data collection to algorithms and data usage, its operation process is full of opacity, like a 'black box'. While acknowledging the convenience that AI technology brings to production, we also need to realize that artificial intelligence technology can be Open Source.

In the traditional AI development path, high Computing Power costs, centralized data storage, and technological barriers have imposed multiple restrictions on developers. And this is exactly where the field of encryption, or more precisely, blockchain technology can play a role. On November 28th, Google Cloud, a technology giant with abundant technical resources, and the encryption project DeepBrain Chain held a Decentralization AI event to specifically discuss the issues and opportunities in this area.

DeepBrain Chain (DBC for short) was founded in 2017, jointly promoted by the DeepBrain Chain Foundation and the DeepBrain Chain Council. In 2021, the DBC 1.0 GPU distributed GPU Computing Power network went live, while DBC 2.0 is the world's first artificial intelligence public chain. After 7 years of research and development, the public chain testnet was launched in August this year, and the Mainnet will be launched in mid-December.

DBC 2.0: The first Decentralization AI Blockchain

The field of artificial intelligence is already a red ocean, but Decentralization AI technology still has room for development in current practical applications. DeepBrain Chain, as a pioneer in the early layout of AI technology in the encryption field, has already made initial progress in technology development, mechanism design, and ecological construction.

How to balance Decentralization AI performance, cost, and resource bottlenecks?

First, DBC 2.0 is compatible with the EVM Smart Contract standard, supporting developers to issue tokens based on its public chain, deploy Smart Contracts, and develop Decentralized AI applications, enabling any AI project to easily achieve Decentralization and maintain long-term stable operation through the DBC ecosystem.

From the perspective of public chain performance, DBC supports processing 1000 transactions per second, with a block time of only 6 seconds, providing strong support for building complex AI applications. In addition, the gas fee for each transaction is less than $0.0001, significantly reducing development costs. Furthermore, DBC is fully compatible with EVM, and existing DApps can be seamlessly migrated to the platform, further reducing the technical barriers for developers.

Secondly, DBC 2.0 operates using the Decentralization AI model. Ethereum founder Vitalik has warned that relying on centralized AI models may result in users being bound by data and algorithms, while DBC 2.0 provides a solution to this problem by supporting the fully Decentralization deployment and operation of AI models.

The development of traditional Decentralization AI projects usually costs tens of millions of dollars and takes 3-4 years, while DBC's efficient development tools shorten the development cycle to 3 months and reduce costs to the million-dollar level through simple API interfaces and AI container deployment capabilities. More importantly, the Decentralization model running effectively protects user privacy and avoids the risk of data leakage.

Thirdly, DBC 2.0 provides GPU free trial and high-performance support. It launches the Mining mechanism through issuanceToken, allowing developers to use GPU resources for free and significantly shorten the R&D cycle. The traditional mode, which used to take 3 to 4 years, is now reduced to just 3 months. This efficient resource integration capability provides strong technical support for the rapid implementation of Decentralization AI.

The high cost of Computing Power has always been the biggest bottleneck for the development of the AI industry, especially for small and medium-sized AI companies, the cost of purchasing and leasing GPU resources has deterred them. DBC 2.0 provides a new solution path, where developers only need to issue their own Tokens and start the GPU Mining mechanism to obtain GPU resources for free, breaking away from the traditional high-cost model. In addition, Miners are rewarded with Tokens by contributing Computing Power, this Mining incentive model not only reduces the financial burden on developers but also attracts more Computing Power to join, promoting ecosystem expansion. This inclusive model allows more small and medium-sized AI projects to use high-quality Computing Power resources at low cost, thus driving innovation and development in the AI industry.

Overall, DBC not only optimizes resource allocation, but also provides a new development platform for AI projects with high efficiency, security, and low cost through Decentralization and economic incentives.

From Cloud Gaming to Decentralization Reasoning Network, Comprehensive Coverage of Diverse Scenarios

The previous article introduced some core advantages of DBC 2.0, a Decentralization AI public chain. On top of that, DBC has also developed a number of high-quality ecological projects, demonstrating how to push the boundaries of AI technology and bring revolutionary changes to the global market.

As one of the core projects of the DBC ecosystem, DeepLink provides a rendering solution with extremely low latency for cloud gaming by integrating AI and blockchain technology. By involving GPU providers in the 'Orion Contest', DeepLink has brought over 2000 GPU Nodes to DBC, which not only promotes the expansion of the entire ecosystem but also opens up a new path for the cloud gaming industry with low cost and high performance.

In terms of the layout of the Decentralization AI model, DecentralGPT has become the star project of DBC. Benchmarking OpenAI, DecentralGPT adopts an open-source approach, emphasizing data privacy and transparency, and is committed to providing users with more autonomous AI services. Its recently launched million-dollar GPU competition has not only attracted GPU providers from around the world to join, but also further consolidated DBC's resource advantage in the field of Decentralization AI, promoting the growth of the entire ecosystem.

Analyst Ze Ren Li on "DecentralGPT: The Value of Decentralized AI Language Model"

The DBC ecosystem is not limited to core technological breakthroughs, but also covers a wide range of diverse scenarios through a series of innovative projects. SuperImage uses Decentralization AI for image generation, supporting multiple text-to-image models, allowing users to generate highly realistic artworks in seconds, and providing new possibilities for digital creation. DRCpad focuses on Primary Market transactions of AI Nodes, laying a solid foundation for the Decentralization AI ecosystem of DBC by screening and incubating high-quality projects.

In addition, the business cooperation between DBC and HYCONS CLOUD has also expanded to fields such as artificial intelligence, autonomous driving, biomedicine, cloud gaming, etc., providing convenient cooperation channels for enterprises and developers in need of GPU resources. This resource sharing model has dropped the Computing Power threshold for various industries and promoted technological inclusiveness.

At the infrastructure level, DBC also provides comprehensive tool support. DBCSCAN, as its EVM browser, has been launched on the testnet, supporting smart contract deployment and transaction queries. DBCWallet is feature-rich, covering POS stake, governance voting, treasury proposals, etc., providing a complete ecosystem operation platform for developers and users. These tools and platforms further enhance the user experience and development convenience of the DBC ecosystem.

The DBC ecosystem AI project also covers a wide range of areas from AI financial forecasting to AI scientific exploration. For example, AIDF is positioned as a financial forecasting platform for Decentralization, while AITalk focuses on AI dialogue interaction, and DeepVideo and Hyper 3D explore the potential of video generation and 3D model generation, respectively. Whether it is used for GameNPC and GamerGPT in games, or for MathAI and BioFold in education and scientific research, these projects collectively outline a variety of visions for the DBC Decentralization AI ecosystem.

An overview of the Token Economy Model of DBC 2.0

DBC (DeepBrainChain) Token has a total supply of 10 billion, with a fixed supply that will never increase. It is expected to complete all issuance in about 100 years. DBC adopts a deflationary model, where the rental GPU fee paid by users will be destroyed in different proportions based on the total GPU quantity: when the network's total GPU quantity is within 5000 units, the destruction proportion is 30%; when it exceeds 5000 units, the proportion increases to 70%; when it reaches or exceeds 10000 units, the destruction proportion increases to 100%.

Users need to purchase DBC Token through a trading platform or other channels to pay for GPU rental fees. This mechanism reduces the circulating supply of DBC in the market each time a GPU is rented. In addition, Miners need to stake DBC to provide GPU services. Each GPU initially requires staking 1000 DBC (currently valued at 4 USD). With the increasing number of GPUs, the total amount of staked DBC will also increase accordingly. As of now, the total amount of DBC staked by GPU Miners worldwide has reached 74,680,376 tokens, accounting for 1.33% of the total circulation.

DBC POS Super Node requires staking DBC to receive Block rewards. Currently, the total amount of DBC staked on the network is 1,466,792,420, accounting for 26.14% of the total DBC issuance.

At the same time, DBC Token is also the governance token of the DeepBrainChain network. The network selects 21 committee members through the POS mechanism to jointly manage the ecological development fund. The committee DAO holds elections every four months, and the ranking of all candidates is determined by the number of votes received, with each DBC token equaling one vote. The treasury funds managed by the committee DAO are used to support the development of the ecosystem and further promote the sustainable operation and rise of the DeepBrainChain network.

As mentioned earlier, DBC 2.0 Testnet went live in August, and a few months have passed. How is it performing now?

According to the official website, the current total computing power of DBC has reached 259,985.16, with over 1145 GPUs, and the GPU rental rate is as high as 92.58%. GPU rental has consumed more than 113 million DBC, fully demonstrating the high efficiency of its resources.

The more ecological applications, the greater the demand for GPU by the ecological system applications themselves. The more DBC transactions used every day, the more DBC is destroyed, and the greater the value of DBC.

Taking the cloud Internet cafe application as an example, cloud Internet cafe users need to purchase tokens on the trading market in order to use GPUs. For every additional GPU, 30% of the tokens purchased from the trading market will be destroyed. If there are 1000 cloud Internet cafes, each with 100 machines, and each machine is used for 10 hours per day, paying 0.1 USD per hour, of which 30% is destroyed. Every month, tokens worth 900,000 USD are destroyed.

According to the coin price of 0.002 USDT, more than 400 million coins need to be destroyed in a month. At the same time, to support 1000 internet cafes, 70,000 machines are needed, and an additional 7 billion coins need to be staked.

Symphony between Traditional Tech Giants and Decentralization AI

At the intersection of artificial intelligence and blockchain technology, DBC AI public chain is in sharp contrast to traditional Decentralization Computing Power projects. Decentralization Computing Power projects mainly target centralized AI enterprises, whose competitors include giants such as Google and Microsoft. They provide Computing Power support for centralized AI by renting GPU resources. However, the competition in this market is extremely fierce, and almost all tracks are occupied by centralized enterprises, forming a homogenized competition characterized by high Computing Power costs and limited price elasticity.

In contrast, the DBC AI public chain has opened up a new Decentralization AI market by serving AI developers. With empowering developers as the core, DBC provides infrastructure for the Decentralization AI ecosystem, helping developers quickly rebuild business models, thereby avoiding the dilemma of low user migration costs and intense price competition in centralized AI models. This strategy not only fills the gap in the Decentralization AI market, but also opens up a new blue ocean for AI technology exploration and innovation.

Meanwhile, DeepBrain Chain has also partnered with technology giant Google Cloud. The conference on November 28, with the theme of 'Driving the Future of Decentralized AI,' showcased the phased results of this collaboration and outlined the vision of traditional technology giants joining hands with Decentralization technology platforms to explore the future.

Google Cloud solution architect Leon Li's keynote speech on 'Decentralized AI: How to use GPU for distributed inference on Google Cloud'

First of all, Google Cloud provides powerful Computing Power support for the DBC ecosystem. Decentralization AI network requires a large number of GPU resources, and for Miners who lack GPU devices, Google Cloud's GPU service becomes an important supplement, enabling more participants to easily join the DBC ecosystem, and also bringing new user growth points and business models to Google Cloud.

Google Cloud has also dropped the participation threshold for users through the "One-Click Mining" function, allowing them to run AI model mirrors and participate in various AI Token Mining on the DBC AI public chain without a strong technical background. This convenience has attracted more developers and users, further expanding the scale of Decentralization AI ecosystem and laying the foundation for the popularization of AI technology.

It is reported that DeepBrain Chain is building a special fund to incubate more innovative deAI projects. The success of these projects will further drive the prosperity of the DBC chain itself, forming a virtuous cycle of mutual promotion between ecology and infrastructure.

Google Cloud will continue to empower DeepBrain Chain with technology and resources, while DeepBrain Chain, through the innovation of Decentralization AI technology, attracts more developers and users to join forces and drive the rapid rise of this emerging market. This cooperative model injects new momentum into the Decentralization AI ecosystem and brings a new development path to the global AI market.