Deepbrain Chain's Ai Miners Attract More Than $100m, Here Are Three Thing You Need To Know

SAN FRANCISCO - June 1, 2018 - PRLog -- On May 18th 2018, DeepBrain Chain announced pre-order of AI Miners (the "DBC AIM") on its official website and WeChat HTML5 page. As of June 1st, more than 1,000 people have reserved DBC AIM, including over 200 128GPU large-scale AIM clusters, pledging in total more than $100m.

So why are DBC AIMs a big hit with investors?

Solving the AI companies' Pain Points

Since 2012, computing demand by AI companies has grown more than 300,000 times. Cost of hardware has become a hinderance to AI companies and in particular AI start-ups. Most of today's deep learning chips are either Google's TPUs or Nvidia GPU. While Google's TPU is mostly used in Google's cloud computing center, Nvidia GPU has the lion's share of the market.

Different from gaming chips, deep-learning chips are extremely expensive, costing up to six figure. Even with cloud computing, computation is still beyond the reach of those without a deep pocket.

DeepBrain Chain's TestNet will be live this June. Its tech team has finished the design of iteration 1 framework and testing has begun. They have also finished the design of the AI training status real-time monitor system and started the design of iteration 2.

Top Team Controlling DBC AIM Quality

In April this year, Dr. Dongyan Wang, a top silicon valley AI expert joined DeepBrain Chain, serving as its Chief AI Officer and Executive VP of its Silicon Valley Research Center. Dr. Wang has close to 20 years of Silicon Valley experience in artificial intelligence and led top teams at Fortune 500 companies (Cisco, Netapp, Midea and Samsung). Within 1 year and 9 months, Dr. Wang established Midea's Silicon Valley research center from scratch, and built its heterogeneous distributed deep learning AI platform "Midea Brain". After he joined DeepBrain Chain, a lot of senior industry experts followed in his footstep.

Innovative and Good Investment Products

In the blockchain industry, mining is very important. Compared to investing in the secondary market, mining is less risky and generates more steady income. Hence it is favored by most people. However, most of today's mining, such as mining of Bitcoin or Ethereum is still PoW, a mechanism much criticized for its waste of resources.

In PoW mining, an enormous amount of computing power often gets wasted. By combining mining with AI training, DeepBrain Chain pools together globally scattered computing power to help AI companies to complete their training tasks. In other words, it turns wasteful blockchain mining into highly efficient AI deep learning, machine learning and computing while providing miners the same, if not higher, income.

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