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Fabric AI architecture

Overview of Fabric AI’s architecture and its key components

Stakeholders

Stakeholders

Service Consumer architecture line AI Innovator architecture line Data Provider architecture line Infrastructure Provider
architecture line
Fabric AI Platform

Fabric AI
Platform

AI Xplorer Fabric AI Toolkit Fabric AI SDK architecture line Fabric AI
Daemon
Fabric AI Network

Fabric AI
Network

Services
Registry AI and Data Warranty and Staking Ontology Reputation & Rating Execution Storage architecture line
Fabric AI Worker 1
Trusted Execution Environment
Fabric AI Worker N
Trusted Execution Environment
DLT

DLT

Fabric AI DLT

Fabric AI token

The Fabric AI token is a utility token fueling the ecosystem economy by enabling value transfer between parties

Staking
Staking Staking
Reward
Reward Reward
Payment
Payment Payment
Medium of Exchange
Medium of Exchange Medium of Exchange
Governance
Governance Governance

Challenging the most difficult problems faced by AI Platforms

Decentralization

Ensure there is no central entity controling the location of data or information processing.

Ensure there is no central entity controling the location of data or information processing. Decentralization

Usability

Simplify interactions between end-users and AIs by providing straightforward, nontechnical flows.

Simplify interactions between end-users and AIs by providing straightforward, nontechnical flows. Usability

Security

Protect end-user privacy and guarantee intellectual property rights.

Protect end-user privacy and guarantee intellectual property rights. Security

Smart Economy

Create a built-in robust exchange medium that facilitates fair transactions between supply-and-demand of AI services.

Create a built-in robust exchange medium that facilitates fair transactions between supply-and-demand of AI services. Smart Economy

Interoperability

Implement the use of standardized interfaces, to allow multiple AI agents to cooperate and connect in order to provide relevant answers to complex problems.

Implement the use of standardized interfaces, to allow multiple AI agents to cooperate and connect in order to provide relevant answers to complex problems. Interoperability

Scalability

Expand network capabilities by allowing network participants to rent their computing power for the execution and training of AIs.

Expand network capabilities by allowing network participants to rent their computing power for the execution and training of AIs. Scalability

Positioning

Brief comparison with the most notable alternatives suggests that Fabric AI offers the most attractive set of features.

Features Centralized Decentralized
IBM
Watson 		Google
AI 		Azure
AI 		Amazon
ML 		Singularity Ocean
Protocol 		Effect
AI 		DeepBrain Thought
Network 		Fabric AI
 
Features Centralized Decentralized
IBM
Watson 		Google
AI 		Azure
AI 		Amazon
ML 		Singularity Ocean
Protocol 		Effect
AI 		DeepBrain Thought
Network 		Fabric AI
 
Decentralization  
Governance
Execution
Storage
 
Security  
Ownership
Privacy
 
Computation  
Scalability
Trustfulness
 
Accessibility  
Developer-friendly
User-friendly
Tools-integration
 
Smart economy  
Fair market
Open market
Marketplace
 
Interoperability  
Algorithm composition
Structural level
Open source Framework support
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