Platform ArchitectureThree-Layer Design
A layered architecture designed for scalability, security, and decentralization powering the ML Bridge ecosystem.
System Overview
ML Bridge operates as a three-layer architecture connecting blockchain, compute, and applications.
Blockchain Layer
Smart contracts & consensus mechanisms on Base L2
Compute Layer
Distributed processing network with verification
Application Layer
APIs, SDKs & user interfaces
Smart Contract Layer
Ethereum-compatible contracts providing trustless coordination and economic incentives.
MLBridge
0x8597...969CMain coordination and orchestration contract
MLBridgeToken
0xd622...B639ERC-20 governance and utility token
ModelRegistry
0xC383...cCbAI model registration, metadata, and versioning
TaskManager
0xE54f...FF7ATask creation, assignment, and lifecycle management
ConsensusVerifier
0x2824...e749Result verification and consensus mechanisms
RewardDistributor
0x5899...18b6Token rewards, penalties, and staking mechanisms
ReputationRegistry
0xC08F...39B6Performance and reputation tracking
MLBridgeTimelock
0xECED...F86aGovernance timelock controller
Compute Layer
Distributed network of compute providers with consensus-based verification.
Task Execution
High-performance ML inference and training jobs
Result Verification
Multiple providers verify outputs for consensus
Reward System
Earn MLB tokens for honest contributions
Consensus-Verified Computation Protocol (CVCP)
Application Layer
Developer-friendly APIs, SDKs, and interfaces for seamless integration.
REST API
WebSocket APIComing Soon
SDKs
Web Interface
Security Architecture
Performance Targets
Explore More
Dive deeper into specific components of the ML Bridge architecture.