A Next-Generation Global Decentralised Infrastructure for Computing Power.
Decentralized infrastructure of next generation for sharing computing resources, based on the blockchain technology. The goal of Amino is the optimal connection and management of unoccupied computing resources and creation a stable distributed computing network that supports a wide range of applications. The Amino ecosystem consists of a three-level computing architecture that uses a new OS, managed by two types of tokens.
1st level - Super Nodes. The level distributes the computation tasks. These nodes control the whole Amino system and the rewards in it. They use a blockchain with low delay to record transactions;
2nd level - Master Nodes. Lead nodes provide computational resources and are responsible for scheduling between subordinate to them slave nodes. They also record the statistics of these computational tasks, to give it to supernodes.
3rd level - Slave Nodes. Slave nodes are computers, in the Amino system, providing resources for computing tasks. When the master node distributes the client task to the computational unit, the module downloads task information from this master node, provides the requested computing resources, and passes the result of the task back to the master node. The virtual machine slave node is located on the user's computer next to the virtual machine where the user's OS is contained, and this is controlled by the Amino OS.
Amino OS is an improved version of KVM (Kernel-based Virtual Machine). Improvements consist in improving work with memory, GPU, CPU, and also in speeding up reading from USB devices.
Token: The system will have 2 types of tokens - AMO for management and GAS - for reward the providers and charging from consumers.
The Amino team consists of outstanding scientists and experts from the best universities in New Zealand and Australia. The founders of the project have leadership skills, as well as experience in the development of the project.
The team has 5 doctors who specialize in cloud computing and system management.
Dr. Michael O 'Sullivan, Co-Founder / CTO / Ph.D Stanford – an expert on operational research in the field of intelligent cloud computing.
Professor Cameron Walker, Co-Founder / Chief Scientist - Associate Professor of the University of Auckland. The main area of research is computational analytics of system performance.
Felix Shu Xia, Co-Founder / Trustee – the founder of Suntech Group, the 3rd largest internal security company in New Zealand. The founder and General Director of the Institute of Innovation of the University of Auckland (China).
PB Tech - The largest in New Zealand I.T. retailer.
G-Render is a GPU video-rendering company.
CloudYo Tech - The largest AI platform and in-depth training in China.
Leonardo is a supercomputer for graphics rendering.
Competitors: Golem, SONT, Ankr, and also centralized giants such as Amazon, Microsoft.
Among the advantages - MVP for the commercial sector has been working for 2 years, a solid scientific and leadership team, good partnerships. Among the disadvantages - a long roadmap (launch of the alpha version - October 2018. Testnet - Q1 2020. Beta version - Q2 2020), a very competitive niche. Tokenometrics and partners have not been announced yet. The date of joining the telegram group is the factor that determines the priority in the white list. We will follow the project.