DeepBrain Chain was established in November 2017. Its vision is to build the world's largest distributed high-performance computing power network based on blockchain technology and become the most important infrastructure in the era of AI+Metaverse. DeepBrain Chain consists of three important parts: high-performance computing power network and blockchain main network. The high-performance computing power network will be officially launched at the end of 2018. The blockchain main network will be launched on May 20, 2021. It will be officially launched in November 2021.
The main network of DeepBrain Chain is developed based on Polkadot Substrate. DeepBrain Chain is also one of the few high-performance computing projects in the blockchain industry that has achieved large-scale implementation. DeepBrain Chain has been committed to improving the computing power of DeepBrain Chain since its establishment. The ease of use of the network and the promotion of commercialization have made great progress, and have been widely used in various scenarios such as blockchain, artificial intelligence, cloud games, visual rendering, biopharmaceuticals, and semiconductor simulation. It provides high-cost GPU computing power, and nearly 30 manufacturers around the world have deployed high-performance GPU cloud platforms based on the DeepBrain Chain network, serving hundreds of companies and tens of thousands of AI developer groups.

1. Application scenarios

Using blockchain technology, we have developed a decentralized, low-cost and privacy-protected AI computing platform, and provide comprehensive related products and services.
DeepBrain Chain is a decentralized neural network. Numerous nodes around the world will provide AI companies with computing power and receive DBC rewards. 70% of DBC will be paid by the system, while AI companies only need to pay 30%.
We adopt a hybrid consensus mechanism that combines DPOS with POI.
DeepBrain Chain is also a secure data transaction platform that maximizes data value while ensuring data privacy by separating data ownership from data use.

2. DeepBrain Chain AI Computing Power Network

The vision of DeepBrain Chain is to become the largest artificial intelligence computing power network in the world. It is a completely open and open source network. Anyone can build their own cloud platform based on DeepBrain Chain computing power network. There are more than 20 cloud platforms, and they are growing rapidly.
The characteristics of DeepBrain Chain AI computing power network are as follows:

1. Various types of machines
DeepBrain Chain Skynet's AI training GPU resources are abundant, from 2-card GPU to 128-card GPU, and you can switch at any time, from Nvidia 1080TI to professional Class Nvidia V100, there is always one for you.

2. Low cost
The core problem that DeepBrain Chain solves is the high hardware investment in the artificial intelligence industry. Through DeepBrain Chain's unique token economic model, mining nodes are encouraged to provide Cheap computing resources reduce the training cost of artificial intelligence manufacturers to 30% of the original.

3. Distributed
The computing nodes collected by DeepBrain Chain are all over the world, and the massive computing power is seamlessly covered; the decentralized storage protocol IPFS is used to store files to realize the non-trust environment Data Security.

4. Elastic supply
Through elastic expansion technology, DeepBrain Chain can automatically deploy containers, and quickly replicate and deploy them to multiple idle nodes during traffic peaks.

5. Peer-to-peer matching
DeepBrain Chain integrates the computing resources of computing power demanders and computing power providers, and users do not need to bear any intermediate costs.

6. Multi-framework support
DeepBrain Chain AI computing power network will support many training frameworks, and currently supports TensorFlow, Caffe2, PyTorch, MXNet, CNTK, H2O.

(The above information is from DBC official website)

Related link:
https://www.deepbrainchain.org/ailanding.html