NEBULA AI (NBAI) — DECENTRALIZED AI BLOCKCHAIN

Nebula AI is a decentralized blockchain integrated with Artificial Intelligence and sharing economies. It can significantly reduce the traditional electricity usage on mining, by converting GPU mining machines into AI computing units. It allows anyone access AI computing resources from anywhere to anyplace in the world.

WHY BLOCKCHAIN?

Blockchain technology is a comprehensive technology system based on distributed systems, computer networks, cryptography, data structures and other research results in various fields. The blockchain records and maintains data in multiple ways, assures the data transmission and access security by applying cryptography, and the data is stored in a chain structure and can only be read or written to ensure its consistency, prevent tampering and cannot be denied. Blockchain technology represented by Bitcoin and Ethereum implements peer-to-peer credit transactions between distributed nodes by adding technologies such as data encryption, consensus mechanisms, times-tamps, and economic incentives. It has solved the problems of cumbersome and inefficient transaction cycles, high costs and unsafe data storage, which have become commonplace in traditional centralized systems, and became the nuclear technology of the modern digital cryptocurrency system. This technology system enables information consensus, sharing, and co-responsibility among all participants that can be entirely ported to the underlying applications of most trust-based business models and organizations.

PROJECT OBJECTIVES

In order to improve the status quo of the current centralized cloud computing, we utilize the decentralization of blockchain technology to rent and distribute the computing power of artificial intelligence machines globally. Blockchain encryption technology efficiently avoids the problem of internal leakage and the maintenance of distributed AI calculation units is handed over to the owners of various AI calculation units, which considerably reduces the workload of maintenance. We split this overall goal into the following sub-goals:

Shared AI Computing Platform
The shared AI computing device platform will address the unbalanced demand between consumers and suppliers of AI devices. Suppliers of AI computing devices cannot use 100% of their computing power, which leads to some computing resources being idle. On the other hand, a large number of users who need the computing power of artificial intelligence cannot obtain the economical and efficient AI computing resources. Peer-to-peer payment in blockchain technology, as well as blockchain ledger technology, enable shared AI computing to be paid and shared in the most convenient way.
AI Physical Computing Units
A large number of GPU computing mining machines can be converted into AI computing units, from simple hash calculation into more meaningful AI task calculation. Due to the particularity of AI calculation, it is necessary to pre-install the specified system and regularly update the client, including the ledger system, in order to play hardware performance better and share AI computing power.
Decentralized AI Applications
Decentralized AI Applications system requires a corresponding interface for DAI App programmers to invoke conveniently and use the platform’s computing power. It includes the payment API, computing capacity estimation API and work estimation API, etc., in order to speed up the development of AI applications.
Integrated IPFS Distributed Storage
Decentralized applications require distributed file storage systems to store data.
An option is the IPFS storage system to replace the traditional centralized cloud storage or local file storage, in order to achieve better distributed storage.
InterPlanetary File System (IPFS) is a protocol and eponymous network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system. The nodes in the IPFS network will form a distributed file system. Most of the future IPFS will use cross-chain service.
AI Engineer Training Center
Nebula AI will establish a systematic artificial intelligence training center to provide practical knowledge in the field of artificial intelligence. Engineers gradually create and train artificial intelligence models in product design through system learning and project operations. We are dedicated to disseminating the latest applications and knowledge in the AI industry and developing and delivering outstanding AI talents.

MISSION

Our mission is to fill the talent gap, give full play to the power of artificial intelligence in business.

NBAI ECOSYSTEM

The NBAI ecosystem consists of two major components, the NBAI foundation and the NBAI system. The NBAI foundation supports the development, operation, and management of blockchain development platforms, AI joint labs, and engineer training centers. NBAI system integrates the top-level applications such as DAI App, scientific research and application, university education, and the bottom-level of NBAI blockchain, Artificial IntelligenceMining Machine and Artificial Intelligence Data Center.

This indicates the economic model of NBAI ecosystem. Developers provide users with DAI Apps, users pay for NBAI tokens or use Apps for free based on rules set by the developers. Developers submit artificial intelligence tasks to NBAI and pay for NBAI tokens based on NBAI’s estimated costs. Then NBAI will open the tasks and miners are free to receive and handle the tasks from NBAI, they will get the corresponding NBAI token as a reward after completing the tasks. Clients and miners can trade NBAI tokens through the exchange, so as to achieve a complete set of value-added economic systems.

TOKEN PLAN

Use Value of Tokens
When the training data is relatively small, the token consumed is less, and when the training data is large, the token consumed increases accordingly. The costs paid depends on the training costs and the value of the current token which is the hash power of each 1080Ti graphics card within one minute, that is, 7514 GFLOP/s × 60.

ROADMAP

Q1 2017
Began to design concept, research, and explore the hyperledger

Q3 2017
Developed the AI DAI APP and conceptual prototype.

Q1 2018
Started to sell tokens; Helix test chain went live.

Q3 2018
Helix public chain will go live, integrate the first DAI APP; start to develop the Orion and Orion prototype chain.

Q1 2019
Orion test chain will go live.

Q3 2019
Orion public chain will go live and integrate 10 DAI APPs.

Q1 2020
Orion will integrate 50 DAI APPs.

Q3 2020
Orion will integrate 500 DAI APPs.

For more information, please visit:

Website: https://www.nebula-ai.com/

Whitepaper: https://www.nebula-ai.com/whitepaper/NBAI_whitepaper_EN.pdf