Why Choose Ai-Net

Advanced Consensus Mechanism To ensure robust security and accommodate AI workloads, Ai-Net employs a variant of Delegated Proof of Stake (DPoS). Key features of DPoS utilized by Ai-Net include:

• Validator Specialization: Nodes can prioritize AI-related tasks based on their reputation in the AI development community and computing capabilities, determining their stake weight. Validator sets undergo regular rotation to encourage diverse participation and mitigate centralization risks.

• Byzantine Fault Tolerance (BFT): Ai-Net incorporates Byzantine Fault Tolerance (BFT) to withstand malicious actors and maintain network integrity even in the presence of faulty nodes.

Modular Architecture

• Core Consensus Layer: Handles fundamental blockchain functions including block creation and transaction validation.

• AI Execution Layer: Facilitates efficient operation of Linguistic Models (LLMs), AI models, and interaction with TensorFlow and LangChain.

• Privacy Layer: Implements privacy-preserving technologies such as zero-knowledge proofs and secure multi-party computing for sensitive AI computations.

• Connectivity Layer: Enables cross-chain communication and integration with external data sources, vital for many AI applications.

Developer Tools

• AI-focused Smart Contract Libraries: Pre-built components for common AI tasks like federated learning, secure data sharing, and model deployment within smart contracts.

• WebAssembly Support (WASM): Enhances cross-compatibility and developer flexibility by offering WASM as a portable format for AI models.

• Integrated Development Environments (IDEs): Streamlined IDEs equipped with debugging tools, blockchain interfaces, and AI libraries for simplified development workflows.