Decentralized computer network for large scale AI training.
ICO of Hadron company attracts funds to create open decentralized market for distributed AI training. Through the market, the unused computing power of any device can be put to work, in exchange for tokens. Companies or other consumers who require resources to train models working with AI can access a potentially unlimited pool of processing power through a decentralized user network.
They already have a working version of their product. For an alpha test you can enroll here.
The team of the project looks very solid, we want to note such persons as: Darick Tong - earlier was the chief engineer in Google, where he played an important role in the development of Gmail, since 2003 he is engaged in the creation of large-scale distributed systems. He is a laureate of the Google Founders Award for his contribution to the development of Gmail, and he is also a graduate of Stanford University. Michael Chu: has seven years of experience as an engineer in Intel, where he helped to develop Intel Centrino, has a bachelor's degree in computer science. A list of well-known Hadron advisors includes: Rob-Ferber, Hyperloop One's chief engineer and responsible for science in Tesla, and David Galvan, vice president of business development of Mastercard.
Advantages: The team has both technical and business experience in creating and scaling products. The Alpha product works with 300k logs. A solid level of community support for the project at an early stage
Among the disadvantages, it can be noted that the competitors are such giants as Microsoft, Clarifai and Amazon, but the company has answers to this, in particular in the field of pricing and scalability.
It is too early to talk about the investment attractiveness of the project, the data is not enough, but it's worth keeping an eye on it.