DeepBrain Chain was founded in November 2017 with the vision to build an infinitely scalable high-performance distributed computing network based on blockchain technology and become the most important infrastructure in the 5G+AI era. Read on to learn more about the DeepBrain Chain AI project.
What is the DeepBrain Chain AI (DBC) crypto project?
DeepBrain Chain is the first artificial intelligence platform to be powered by blockchain technology. The DeepBrain Cloud Platform was launched in April 2017 and the DeepBrain Chain Token Sale whitepaper was released in August 2017. The DeepBrain Chain platform is described as decentralized, lost cost and privacy protection (DeepBrain Chain, 2018). DeepBrain Chain is designed to save organizations time and money when training AI models and performing AI processing. DeepBrain Chain is building an AI platform and an intelligent economy system.
The DeepBrain Chain contains three important parts: high performance computing network, blockchain core network and GPU computing core network. The high-performance computing network was officially launched at the end of 2018, the blockchain mainnet was launched on May 20, 2021, and the GPU computing mainnet was launched on November 22. The core network of DeepBrainChain is built on top of Polkadot Substrate. DeepBrainChain is also one of the few high-performance computing projects that has achieved large-scale implementation in the blockchain industry. Since its inception, DeepBrain Chain has been committed to improving the ease of DeepBrain Chain’s computing power network.
Usability and marketing promotion, and made great progress. It has been widely used in various scenarios such as blockchain, artificial intelligence, cloud gaming, visual rendering, biopharmaceuticals, simulation and semiconductor simulation, and has provided many companies with high cost-effective GPU computing power. Cumulatively, more than 50 manufacturers worldwide have deployed high-performance GPU cloud platforms based on the DeepBrain Chain network, serving hundreds of enterprises and tens of thousands of AI developer groups.
How does DeepBrain Chain AI (DBC) crypto project work?
Decentralized nodes in the network consist of large clusters of permanent nodes, independent idle GPU server nodes, and idle GPUs owned by individual people. Transactions on the network use smart contracts based on NEO and the DBC token, known as DBC. Miners will be rewarded with DBC when they perform calculations.
When a company wants to use the DeepBrain Chain platform, it must upload its neural network, calculate the demand to be placed on the DeepBrain Chain network, and submit the required amount of DBC GAS, which is the payment required to use the network resources. This client request is turned into a docker image, which is then streamed to the DeepBrain Chain network. Mining nodes on the network will work to deploy the docker image, and successfully deployed nodes will receive DBC as a reward.
mining nodes
Each mining node consists of 6 main parts: a compute engine, an image management system, a storage management system, an identity service engine, a network management engine, and a database service engine. Dice. These 6 parts interconnect to work on deploying the docker image.
Mining nodes are only rewarded if they successfully deploy images, and their compensation is based on their level of success. Nodes that leave mid-training will be punished instead of rewarded, having their probability of rewards reduced for a period of 100 hours.
Private data
DeepBrain Chain allows sellers and buyers to interact on a decentralized data trading platform. On this platform, sellers can send their data to anonymous nodes to be trained and then worked on by computing engines. Buyers will be able to access the results of their request without having to access the raw data that the salesperson allowed them to train. This allows the seller to continue to own the data while selling the ability to use it with a much lower risk of having the data stolen.
Bottom Tier Blockchain
DeepBrain Chain’s bottom layer blockchain helps govern the platform. This lower-layer blockchain uses a Matrix platform and high-performance asynchronous architecture, has a multi-chain structure, uses a self-encoded two-layer transport protocol or a two-layer encrypted transport protocol, has a multi-layer network, and uses a mechanism which is a hybrid of delegated proof of stake (DPOS) and proof of importance (POI) (DeepBrain Chain, 2018) — for more technical details, see the DeepBrain Chain whitepaper.
What are the use cases for DeepBrain Chain?
DeepBrain Chain is designed to be used primarily for AI training, modeling, computing, algorithms and data. For example, a small organization looking to implement an image recognition solution might choose to use DeepBrain Chain to train its AI in order to save time and money compared to buying the necessary components to build its own system.
Another promising use case for DeepBrain Chain involves its data trading platform. A seller who wants to sell the use of the data they own can use the data trading platform to allow buyers to use their data for AI training applications, while the seller is confident in maintaining property rights and data privacy thanks to the design of the platform. Buyers may also find the data trading platform to be a great added value as their AI can be trained on more complete data as sellers may feel more comfortable allowing more parts of their data to be accessed by the AI due to the design of the data trading platform. More information about the data trading platform is mentioned above and detailed in the DeepBrain Chain whitepaper.
Advantages of DeepBrain Chain’s AI computing network
DeepBrainChain’s vision is to become the world’s largest AI computing network. The DeepBrainChain computing network is a completely open source and open source network. Anyone can build their own cloud platform based on the DeepBrainChain computing network. computing network in the world, and they are growing fast. See 6 advantages of DeepBrain Chain’s AI computing network:
- Multiple Machine Model – DeepBrain Chain’s AI Computing Net has abundant GPU resources, from 2GPU machine to 128GPU machine, you can choose and switch at any time; from NVIDIA 1080Ti to specialized NVIDIA V100, you’ll find something that works for you.
- Low cost – Through DeepBrain Chain’s unique token economy model, can incentivize mining nodes to offer cheap computing power, costing AI companies only 30% of what they originally spent to conduct training, thus solving the industry’s problem I would have to invest hugely.
- Distributed – The nodes recruited by DeepBrain Chain are spread all over the world, with computing power covering every corner of the world; we use IPFS decentralized storage protocol to store documents, to ensure data security in a trustless environment.
- Flexible supply – Through flexible scaling technology, DeepBrain Chain achieves automatic deployment, which means that content in a container can be copied and deployed to idle nodes to solve the problem of sudden increase in demand volume during peak hours .
- Peer to Peer Matchmaking – The DeepBrain Chain platform automatically matches compute power requests with compute power resources at no intermediate cost to users.
- Support for multiple frames – DeepBrain Chain AI Computing Network will support multiple training frameworks and currently supports TensorFlow, Caffe2, Pytorch, MXNet, CNTK, H2O.
DBC Token
The DBC token has a total supply of 10 billion, with 50% of the supply being produced through mining; 9% of the total supply was available as part of a public token sale and 6% was available in a pre-sale to professional investors and AI makers; 10% was reserved for the DeepBrain Chain team, along with 25% for the DeepBrain Chain foundation and ecosystem.
Within the DeepBrain Chain, DBC tokens will be used as payment for activities performed on the platform. For example, if someone wants to buy or train data on the platform, they can perform their transaction on DBC. In addition, DBC will be used to fund GAS payments.
Bottom Line
A DeepBrain Chain AI hopes to build an infinitely scalable and distributed high-performance computing network through blockchain technology to achieve cost reduction and improvement of AI computing power efficiency around the world, promote the popularization and democratization of AI computing power AI and accelerate the arrival of the era of artificial intelligence.
