Deepbrain Chain, an AI computing platform built on NEO, has announced the pre-order of its AI Mining Stations (AIMs). The AI Mining Stations are part of the company’s vision to become a “Decentralized AI Cloud,” providing high performance computing power and data privacy for companies and miners with AI needs. You can check the status and details of the pre-order here. At time of writing, 678 people have reserved a total of 1712 machines.
DeepBrain Chain’s AIMs work as AI servers and cryptocurrency mining machines. Mining with AIMs allows operators to earn DBC tokens, and participate in the DBC economy through a shared distributed network. The network expands to DeepBrain’s partners as well, as they can also offer their AI machines to mine and earn DBC rewards, or purchase computing power through DeepBrain Chain’s platform at a discounted rate. DeepBrain Chain intends to release and ship AIM miners in Q4 2018. You can read the full details of the intended release and other details here, under the “Release of AIMs” section.
The AI mining stations intend to solve a conundrum of computing power in the AI industry: according to DeepBrain, the required computing power for AI training doubles every three and a half months. To resolve this critical issue, the DeepBrain mining stations will form a globally-shared computing services platform, and as more stations join the network, the computational power will increase. It’s claimed that this synergy will create a “virtuous circle,” benefiting all network participants. The machines will also form the backbone of DeepBrain Chain’s network, with owners rewarded in DBC tokens. Each server will be leveraged for the completion of deep learning and machine learning tasks requested by the platform’s petitioners.
For DeepBrain to realize its vision of a Decentralized AI Cloud, it is pioneering a new algorithm named AI-based Proof of Contribution (AI-POC). AI-POC draws resources and computing power from each machine in the network, and these resources are then allocated according to the needs of the DeepBrain ecosystem.
As per the DeepBrain Chain whitepaper, 5 billion DBC tokens have been allocated as the reward for mining. Over the next 5 years, 500 million tokens will be released yearly, halving every five years after. The tokens will be distributed into three categories: 350 million for computing power rewards, 100 million for storage rewards, and 50 million for consensus node rewards.
There are 5 types of mining stations available for purchase. They are the Personal Data Storage miners available in 2, 4, and 8 GPU configurations, standalone workstations, and a 128GPU customized AI HPC Cluster. You can read the full specifications for each machine here. In addition to mining, owners can opt for their machines to become consensus nodes, compute nodes, or storage nodes to earn part of the DBC rewards.
Along with the announcement of its AI mining stations, DeepBrain also said that its Testnet will go live in June 2018. The Testnet will let users monitor the status of their AI training in real time, with the results automatically saved and recorded. For security, DeepBrain has included a number of security checks and defence systems to keep its data secure, including a task grading strategy to prevent bad actors from disrupting the network.
The pre-sale of DeepBrain Chain’s AI miners is the platforms first step to create a global AI ecosystem using blockchain technology. The miners will allow DeepBrain to extend is ecosystem to include a distributed data and AI marketplace, following the release of its Mainnet in Q4. The platform has the end goal of partnering with enterprises with AI needs to share computing power, data, and algorithms. The end benefit for DBC holders is to reduce the cost and development of distributed AI applications, which in turn may foster their value and consequent adoption.
More information on DeepBrain Chain can be found at the below links.
About The Author: Matthew North
Matthew North is a freelance writer and journalist who resides in East Asia. He spends his time writing and learning about financial technologies like the Blockchain and digital currencies. You can follow him on twitter @fintech_matthew.
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