Decentralized Data & Model Management

AI OmniChain's decentralized framework goes beyond computation, covering data and model management. This creates a more open and collaborative system, where no single entity holds control over data or models.

• Data Ownership and Sovereignty

  AI developers and businesses can securely host their models and datasets on AI OmniChain, retaining full ownership of their intellectual property. Decentralized hosting also prevents any central authority from altering or controlling how models are used.

• AI Model Versioning

  The AI model marketplace allows for versioning and updates, enabling models to be improved over time while keeping older versions accessible.

• Collaborative Training

  The community-driven training model encourages various stakeholders to contribute to AI development by offering data, compute power, or feedback on training. Contributors receive OMNIT tokens as rewards, supporting a growing ecosystem focused on model enhancement..

Example: Deploying a New AI Model Version

# Example command to update an AI model on the OmniTensor network

# Deploy new version of the AI model
omnitensor deploy-model --model <model_id> --version <new_version> --source <file_path>

# Example parameters
# model_id: 0x5678efgh9123
# new_version: 2.0
# source: /local/path/to/new_model_v2.onnx

# Result: The new version of the AI model is deployed on the decentralized network.