DeepBrain Chain was established in November 2017 with the goal of creating a scalable, distributed high-performance computing network using blockchain technology, aiming to become a vital infrastructure in the 5G+AI era. As humanity transitions into an age of intelligence, artificial intelligence is becoming deeply integrated into various aspects of daily life. The core components driving this advancement include deep models, big data sourced from the internet, sensors, and IoT devices, and high-performance computing utilizing GPU, FPGA, and specialized chips. Individual deep models require increasing amounts of computing power: for example, ImageNet image recognition may require 110 GPUs, while AlphaFold/AlphaFold2 could require 100200 GPUs. Additionally, the BERT language model might demand 100~200 GPUs, or with 1026 TPUs, training time could be reduced to 76 minutes. OpenAI's GPT-3 language model, with 1,000 GPUs, features 175 billion parameters, requiring substantial investment for training. Moreover, the multimodal large-scale pre-training model developed by the Beijing Academy of Artificial Intelligence (BAAI) requires 2,000 GPUs. This growing demand for computing power in the field of artificial intelligence underscores the need to address the supply and demand imbalance and reward computing power appropriately. DeepBrain Chain aims to address this challenge by leveraging blockchain technology to establish a scalable, distributed high-performance computing network. This network aims to reduce costs and improve efficiency in AI computing power globally, democratizing access to AI computing resources and accelerating the advancement of artificial intelligence.