Deploy & Monetize Your AI Models
Join the decentralized AI revolution and earn revenue from your machine learning models
Supported Model Types
Deploy any type of machine learning model on our decentralized platform
Computer Vision
Image and video processing models for classification, detection, and analysis.
Natural Language Processing
Text processing models for understanding and generation tasks.
Time Series & Analytics
Predictive models for temporal data and business analytics.
Custom Models
Any PyTorch or TensorFlow model with standard input/output interfaces.
Before You Start
Ensure you have everything needed for a smooth deployment
Technical Requirements
- Model trained in PyTorch (.pt) or TensorFlow (.pb/.h5) formats
- Standardized input/output interface for seamless integration
- Model size up to 2GB (contact support for larger models)
- Clear documentation on performance benchmarks and resource needs
Account Setup
- Web3 wallet (MetaMask recommended)
- Sufficient ETH for transaction fees (gas)
- MLB tokens for staking (optional but recommended)
- Comprehensive model documentation with examples
🖥️ User Interface Walkthrough
Follow this step-by-step guide through the ML Bridge interface to register your first model
Access Model Registration
Navigate to the model registration wizard from the main dashboard.
User Interface Elements:
Click "Models" in the main navigation
Large blue button to start registration
Optional tutorial overlay for first-time users
Fill Model Information
Complete the basic model details in the registration wizard.
User Interface Elements:
Descriptive name for your model (required)
Semantic version (e.g., 1.0.0)
Detailed description of capabilities and use cases
Select model type (Image, NLP, Audio, etc.)
Upload Model File
Upload your model file or provide access method.
User Interface Elements:
Drag & drop area or click to browse files
Shows upload progress and IPFS storage status
Switch to provide IPFS hash or API endpoint
Text field for IPFS hash or API URL