AIDAPPS to unveil AI Distributed Cloud Platform at 'International AI Competition 2020' > News

 

AIDAPPS (represented by Heo Tae-in) will showcase its AI Distributed Cloud Platform at the 'International AI Competition 2020' held from the 27th to the 29th at COEX in Seoul, Samsung-dong. This platform is a system that leverages AIDAPPS's AI Blockchain to provide hardware and software's idle computing resources to consumers.

The system supports an ecosystem where nodes provide computing resources such as CPU, GPU, memory, and storage through a distributed deep learning environment. The distributed cloud integrates blockchain technology and AI to offer a trustworthy infrastructure for AI-driven big data analysis. This enables individuals, businesses, and developers worldwide to easily and affordably access an AI framework for deep learning and machine learning.

Differing from traditional centralized cloud systems, the AI distributed cloud emphasizes affordability and exceptional security as its primary features.

IPFS, which stands for 'Inter Planetary File System,' is a distributed file system that operates through files and IDs (Inter-Planetary Names, or IPNs), functioning as a hypermedia protocol. Designed to connect all computing devices within a unified file system, IPFS enables fetching pieces of files from multiple nodes simultaneously, leading to a reduction of over 60% in traditional bandwidth costs. Additionally, IPFS is characterized by its open and decentralized nature.

The key features include clients providing data for Machine Learning/Deep Learning (ML/DL), storing data on the client server within the AICON PLATFORM, transmitting ML/DL data to the D-Cloud for processing and storage, utilizing distributed resources provided by users for data refinement and outcome generation within the ML/DL framework, and delivering ML/DL data back to clients.

The data provider (client) is the entity requiring Machine Learning/Deep Learning (ML/DL) services, encompassing individuals, businesses, developers, and governmental bodies. These data providers submit their data to the AICON PLATFORM to obtain results from necessary ML/DL analyses. Leveraging the supercomputing capabilities of the AICON PLATFORM, data providers utilize distributed resources for data analysis, thereby reducing the significant costs associated with the extensive resources required for Machine Learning/Deep Learning.

The AICON platform serves as a gateway within the AICON blockchain ecosystem, playing a pivotal role. Built on Hyperledger Fabric-based private chains, the platform offers frameworks and tools necessary for Machine Learning/Deep Learning (ML/DL) and provides users' distributed resources to clients using supercomputing technology.

The resource provider (user) is the entity within the AICON blockchain ecosystem that offers resources. This can include individuals or businesses who contribute their own PC or smartphone's idle resources such as CPU, GPU, memory, and storage to the AICON platform, which are then provided to clients.

Furthermore, AIDAPPS's distributed cloud system runs on the blockchain, and through compartmentalization, it offers enhanced security for network protection far beyond what the current infrastructure provides. Even if an attacker gains access to a data block, it remains only a portion of the file, making penetration difficult.

The Distributed Cloud (D-Cloud) devices are poised for explosive growth in the rapidly advancing Korean market undergoing digital transformation in sectors such as 5G communications, smart factories, financial information, and healthcare. AI-Dapps aims to connect AI blockchain technology and cloud services through distributed clusters, providing trustworthy big data AI analysis to individuals and businesses alike. Moreover, enterprises, governments, local governments, and platform operators receive the D-Cloud environment within the AICON platform. Regular users gain access to real-time streaming and file synchronization drive services through D-Cloud.
 

* Article Date - October 25, 2020