DeepBrain Chain ($DBC) is a decentralized high-performance GPU computing network that can expand infinitely. It integrates and provides idle computing power and data resources from around the world, offering a secure and economical guarantee for the development of AI applications. Its goal is to become the most widely used GPU computing infrastructure in the global AI and metaverse era.
DeepBrain Chain officially launched in 2017, completed its fundraising, and was listed on Huobi Exchange in 2018. By 2020, it had provided services to over 500 AI-related universities and laboratories worldwide. In 2021, the mainnet for nodes was officially launched. This year, DeepBrain Chain plans to develop a short-term GPU rental model and achieve token interactions within the network.
He Yong: Chairman and CEO of DeepBrain Chain Foundation, AI expert, and an innovative figure in Shanghai’s computer industry. He began researching Bitcoin and blockchain technology in 2014. He is proficient in product design and machine learning algorithms and is the inventor of an intelligent semantic error correction engine commonly used in game translation. He Yong is also one of the first entrepreneurs in China’s AI field and led the development of the world’s first AI speaker.
Wang Dongyan: Chief AI Officer of DeepBrain Chain. He is an expert with nearly 20 years of experience in artificial intelligence, business intelligence, and data science in Silicon Valley. Dr. Wang Dongyan has led top technical teams for Fortune 500 companies (Cisco, NetApp, Midea Group, Samsung) and has won numerous awards.
Brain Xu: Chief Data Scientist of DeepBrain Chain. Since 1998, he has had extensive experience with over 48 products (AI, ML, and data analysis, etc.) in the software field. He has developed 20 projects for major clients (Boeing, DARPA, etc.), authored 38 technical papers and US patents, and produced 76 technical reports.
Jason Pai: Senior Product Expert and Director of AI Mining Machines at Silicon Valley Labs. He holds a Master’s in Business Analytics from New York University’s Stern School of Business and a Master’s in Industrial Engineering from Arizona State University’s Fulton School of Engineering, focusing on technology management and operations research. Before joining DeepBrain Chain, Jason had 15 years of experience in hardware R&D and product management, having worked at Supermicro, IBM, and Ford Motor Company.
Source: DeepBrain Chain
As of July 30, 2024, 810 GPUs were in the computing power mainnet, with 11 computing pools participating. The total computing power value has reached 272,731.31. These GPUs have collectively staked 80,544,779 $DBC, with a GPU rental rate of 77.41%. Over 200,000 addresses hold $DBC, with nearly 1.3 billion tokens staked.
DeepBrain Chain Network Structure:
Source: DeepBrain Chain
DeepBrain Chain essentially builds the infrastructure for the 5G+AI era as a distributed high-performance computing network. Current blockchains face insufficient performance, scalability, upgrade difficulties, and lack of infrastructure. DeepBrain Chain has made numerous technical optimizations to address these existing blockchain issues:
Anyone can build their own GPU cloud service platform based on the DeepBrain network. DeepBrain Chain aims to establish a comprehensive ecosystem, generating AI data trading platforms, AI algorithm trading platforms, AI model trading platforms, AI container trading platforms, and AI application trading platforms.
AI Training
AI training involves using large amounts of data and algorithms to train networks. The goal is to obtain a model capable of making predictions. The market size for GPU servers used for AI training is expected to reach $12 billion by 2024 and continue to grow.
AI Inference
AI inference allows trained AI models to make predictions based on new data. The market is expected to reach $8 billion this year and will continue to grow.
Cloud Gaming
Cloud gaming services allow games to be rendered and processed through cloud-based GPU servers, with the game images streamed to players’ devices. Cloud gaming enables any AAA game to run on any device.
Visual Rendering
Visual rendering solutions are primarily used in the film and 3D animation industries. The global market size reached $723.7 million in 2023 and is expected to grow rapidly this year.
Cloud Cafe
Cloud cafes are a new internet café service based on cloud computing technology. In cloud cafes, games and applications run on remote GPU servers and are streamed to the café’s computers in real time. Internet café operators do not need to invest in high-performance GPU hardware, significantly reducing hardware investment costs. As of 2023, there were over 200,000 internet cafés worldwide with 10 million computers.
ZK Mining
ZK Mining refers to projects such as Filecoin, Aleo, and Ethereum Layer 2 networks that require GPU servers for zero-knowledge proof calculations.
The native token of DeepBrain Chain, $DBC, has a total issuance of 10 billion tokens. 40% of the total supply is generated through mining, with the entire supply expected to be fully issued within 100 years. $DBC follows a deflationary model: when the total number of GPUs in the DeepBrain Chain network is below 5,000, 30% of the user rental fees are burned. When the number exceeds 5,000, the burn rate increases to 70%; when it exceeds 10,000, it reaches 100%.
$DBC Allocation (Source: DeepBrain Chain)
To obtain $DBC tokens, you can purchase them through cryptocurrency exchanges. For instance, the reputable Gate.io exchange supports $DBC purchases. You simply need to create a Gate.io account, complete the KYC process, and deposit funds into your account to purchase $DBC tokens directly.
DeepBrain Chain is actively expanding into overseas markets. A recent meetup in Seoul attracted numerous investors, media developers, and industry professionals, resulting in a successful event. The company is also advancing into overseas application markets such as Singapore and Vietnam. Following the establishment of DBC-IDC in Korea, the rollout of cloud cafes is underway.
Additionally, DeepBrain Chain aims to promote the global adoption of decentralized AI and GPU capabilities. It seeks to foster collaboration among AI developers, GPU providers, and investors, creating and maintaining a vibrant and innovative ecosystem. This approach not only adapts to the future of AI but also actively shapes it, driving global innovation and efficiency.
DeepBrain Chain assists AI practitioners, enterprises, universities, research institutions, cloud gaming, rendering, and blockchain users in reducing computing costs, improving computational efficiency, and enhancing product experiences. Significant progress has been made in GPU cloud platforms, distributed computing networks, and the mainnet.
DeepBrain Chain provides fast, economical, and secure services to the global AI community. Integrating Web3 technology effectively addresses several challenges in the AI application domain, such as privacy and high costs, and continues to expand its application scope. The DeepBrain Chain team, with its high reputation and extensive experience in the AI industry, is now actively expanding into overseas markets and developing the network ecosystem. If you are optimistic about the future of the AI industry, it might be worth considering an early investment in DeepBrain Chain.
DeepBrain Chain ($DBC) is a decentralized high-performance GPU computing network that can expand infinitely. It integrates and provides idle computing power and data resources from around the world, offering a secure and economical guarantee for the development of AI applications. Its goal is to become the most widely used GPU computing infrastructure in the global AI and metaverse era.
DeepBrain Chain officially launched in 2017, completed its fundraising, and was listed on Huobi Exchange in 2018. By 2020, it had provided services to over 500 AI-related universities and laboratories worldwide. In 2021, the mainnet for nodes was officially launched. This year, DeepBrain Chain plans to develop a short-term GPU rental model and achieve token interactions within the network.
He Yong: Chairman and CEO of DeepBrain Chain Foundation, AI expert, and an innovative figure in Shanghai’s computer industry. He began researching Bitcoin and blockchain technology in 2014. He is proficient in product design and machine learning algorithms and is the inventor of an intelligent semantic error correction engine commonly used in game translation. He Yong is also one of the first entrepreneurs in China’s AI field and led the development of the world’s first AI speaker.
Wang Dongyan: Chief AI Officer of DeepBrain Chain. He is an expert with nearly 20 years of experience in artificial intelligence, business intelligence, and data science in Silicon Valley. Dr. Wang Dongyan has led top technical teams for Fortune 500 companies (Cisco, NetApp, Midea Group, Samsung) and has won numerous awards.
Brain Xu: Chief Data Scientist of DeepBrain Chain. Since 1998, he has had extensive experience with over 48 products (AI, ML, and data analysis, etc.) in the software field. He has developed 20 projects for major clients (Boeing, DARPA, etc.), authored 38 technical papers and US patents, and produced 76 technical reports.
Jason Pai: Senior Product Expert and Director of AI Mining Machines at Silicon Valley Labs. He holds a Master’s in Business Analytics from New York University’s Stern School of Business and a Master’s in Industrial Engineering from Arizona State University’s Fulton School of Engineering, focusing on technology management and operations research. Before joining DeepBrain Chain, Jason had 15 years of experience in hardware R&D and product management, having worked at Supermicro, IBM, and Ford Motor Company.
Source: DeepBrain Chain
As of July 30, 2024, 810 GPUs were in the computing power mainnet, with 11 computing pools participating. The total computing power value has reached 272,731.31. These GPUs have collectively staked 80,544,779 $DBC, with a GPU rental rate of 77.41%. Over 200,000 addresses hold $DBC, with nearly 1.3 billion tokens staked.
DeepBrain Chain Network Structure:
Source: DeepBrain Chain
DeepBrain Chain essentially builds the infrastructure for the 5G+AI era as a distributed high-performance computing network. Current blockchains face insufficient performance, scalability, upgrade difficulties, and lack of infrastructure. DeepBrain Chain has made numerous technical optimizations to address these existing blockchain issues:
Anyone can build their own GPU cloud service platform based on the DeepBrain network. DeepBrain Chain aims to establish a comprehensive ecosystem, generating AI data trading platforms, AI algorithm trading platforms, AI model trading platforms, AI container trading platforms, and AI application trading platforms.
AI Training
AI training involves using large amounts of data and algorithms to train networks. The goal is to obtain a model capable of making predictions. The market size for GPU servers used for AI training is expected to reach $12 billion by 2024 and continue to grow.
AI Inference
AI inference allows trained AI models to make predictions based on new data. The market is expected to reach $8 billion this year and will continue to grow.
Cloud Gaming
Cloud gaming services allow games to be rendered and processed through cloud-based GPU servers, with the game images streamed to players’ devices. Cloud gaming enables any AAA game to run on any device.
Visual Rendering
Visual rendering solutions are primarily used in the film and 3D animation industries. The global market size reached $723.7 million in 2023 and is expected to grow rapidly this year.
Cloud Cafe
Cloud cafes are a new internet café service based on cloud computing technology. In cloud cafes, games and applications run on remote GPU servers and are streamed to the café’s computers in real time. Internet café operators do not need to invest in high-performance GPU hardware, significantly reducing hardware investment costs. As of 2023, there were over 200,000 internet cafés worldwide with 10 million computers.
ZK Mining
ZK Mining refers to projects such as Filecoin, Aleo, and Ethereum Layer 2 networks that require GPU servers for zero-knowledge proof calculations.
The native token of DeepBrain Chain, $DBC, has a total issuance of 10 billion tokens. 40% of the total supply is generated through mining, with the entire supply expected to be fully issued within 100 years. $DBC follows a deflationary model: when the total number of GPUs in the DeepBrain Chain network is below 5,000, 30% of the user rental fees are burned. When the number exceeds 5,000, the burn rate increases to 70%; when it exceeds 10,000, it reaches 100%.
$DBC Allocation (Source: DeepBrain Chain)
To obtain $DBC tokens, you can purchase them through cryptocurrency exchanges. For instance, the reputable Gate.io exchange supports $DBC purchases. You simply need to create a Gate.io account, complete the KYC process, and deposit funds into your account to purchase $DBC tokens directly.
DeepBrain Chain is actively expanding into overseas markets. A recent meetup in Seoul attracted numerous investors, media developers, and industry professionals, resulting in a successful event. The company is also advancing into overseas application markets such as Singapore and Vietnam. Following the establishment of DBC-IDC in Korea, the rollout of cloud cafes is underway.
Additionally, DeepBrain Chain aims to promote the global adoption of decentralized AI and GPU capabilities. It seeks to foster collaboration among AI developers, GPU providers, and investors, creating and maintaining a vibrant and innovative ecosystem. This approach not only adapts to the future of AI but also actively shapes it, driving global innovation and efficiency.
DeepBrain Chain assists AI practitioners, enterprises, universities, research institutions, cloud gaming, rendering, and blockchain users in reducing computing costs, improving computational efficiency, and enhancing product experiences. Significant progress has been made in GPU cloud platforms, distributed computing networks, and the mainnet.
DeepBrain Chain provides fast, economical, and secure services to the global AI community. Integrating Web3 technology effectively addresses several challenges in the AI application domain, such as privacy and high costs, and continues to expand its application scope. The DeepBrain Chain team, with its high reputation and extensive experience in the AI industry, is now actively expanding into overseas markets and developing the network ecosystem. If you are optimistic about the future of the AI industry, it might be worth considering an early investment in DeepBrain Chain.