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AI-Chain
Computing Architecture
Combine blockchain, privacy computing, and decentralized computing networks to ensure the transparency, security, and verifiability of AI computing tasks.
Web3 Ecosystem
Compute Architecture Overview
Submission layer
Users or developers submit AI computing tasks.
Distributed Computing Layer
Tasks distributed globally for execution via blockchain contracts.
Privacy protection layer
Use ZK-SNARKs, FHE, and MPC to keep data encrypted during computations.
Blockchain storage layer
The calculation results are stored on the blockchain to ensure transparency and verifiability.
Data market layer
Data can be traded in a decentralized manner on the AI data market, where users can share or monetize their data.
Web3 Ecosystem
Compute Architecture Overview
Web3 Ecosystem
Technology core
Privacy protection technology
ZK-SNARKs ensure trustworthy computation results while keeping data private.
FHE computes data in an encrypted state without exposing plaintext.
MPC enables multiple parties to collaborate on computations without revealing original data.
Decentralized computing
Adopt a consensus mechanism to prevent monopolization of centralized computing power.
The calculation task is automatically assigned to the optimal node via trusted task scheduling.
Blockchain Deposit Proof
AI calculation results are recorded on the chain to ensure traceability and prevent data tampering.
All transactions are executed transparently via smart contracts to eliminate human intervention.
Solution
Computing advantage
Features AI-Chain solution
Distributed computing
Tasks are executed decentralize, without relying on a single server.
Privacy protection
Adopting ZK-SNARKs, FHE, and MPC to ensure secure data computation.
Trustless mechanism
Tasks scheduled through blockchain smart contracts to avoid centralized control.
Verifiable results
Chain calculation results to ensure transparency and trustworthiness.