What Makes Matrix AI Different? (part 3)

Matrix vs Centralized AI Platform

Having created an high-performance AI-empowered blockchain in Matrix 1.0, Matrix 2.0 will focus on building a decentralized AI ecosystem based on this efficient blockchain. So how is Matrix better compared to traditional centralized AI platforms?

A Multidimensional Big Data Platform

Different from a centralized platform, Matrix seeks to transform data into the personal assets of users, as opposed to the assets owned by the platform. Not only do users get rewards for uploading data, but they also keep ownership of the uploaded data and earn returns when the data is used by others. This feature would not be possible on a centralized platform.

Under this notion, we could soon see the world’s first multidimensional big data platforms. Compared to “single dimensional big data” provided by current big data companies and “multidimensional small data” owned by individuals, multidimensional big data will be of a higher quality and serve as the source material for AI development. With the arrival of multidimensional big data platforms, Matrix as well as the entire AI industry will see explosive growth.

Affordable Computing Power

Compared to traditional centralized AI computing platforms, another advantage of Matrix is affordable pricing, since computing power providers in Matrix AI Network already earn their investment back through mining, and leasing idle computing power is merely a side income for them. Compared to the expensive computing power which AI companies currently use, Matrix’s cheaper alternative will no doubt benefit the AI industry.

Of course, Matrix’s computing power cannot match centralized computing platforms when it comes to response speed. But affordability still gives Matrix an edge, especially for tasks that don’t require high response speed such as AI model training.

A Diverse Ecosystem

Computing power and data are indispensable resources for the development of AI. In the Matrix ecosystem, we will have a multidimensional big data platform to provide high-quality data, as well as a computing power distribution platform to provide affordable computing power. All this will attract more AI scientists to join Matrix in the future, and competition among a large number of AI services will help diversify the Matrix ecosystem and get the AI industry on the fast track.

An Open Platform

Matrix does not plan to hold monopoly over the computing power and AI services on its platform. Instead, our team will focus on developing new technologies and platform features, while for the commercialization part we provide API and SDK for anyone with customer resources or experience operating a business to build his/her own AI cloud computing/AI service platform using our tools. This is an ecosystem where all parties can play to their strengths. We will let the world promote our services for us, and this is Matrix’s way for the future.

Matrix will also hold an open attitude towards algorithm scientists. Every scientist can create and launch his/her algorithms and services here. This will mean more options for users, and individualized services can better meet the needs of everyone.

The Average AI Platform
Data Safety Distributed Storage Centralized Storage, Data Safety Concerns
Data Type Multidimension, High Quality Large Quantity, Single Dimension, Low Quality
Computing Power Price Low High
Openness Fully Open Closed
Governance DAO Centralized
Business Model C2C/B B2C/B