The world of artificial intelligence is rapidly evolving, and Nesa stands at the forefront with its innovative approach to decentralized AI. By introducing the AI Terminal (AIT), Nesa has redefined how AI inference queries are executed, making them fully decentralized, privacy-preserving, and verifiable. Here’s a closer look at the groundbreaking features and technologies that power Nesa’s vision for a decentralized AI future.
Introducing the AI Terminal (AIT)
The AI Terminal (AIT) is the world’s first end-to-end execution interface and machine network designed to handle AI inference queries on-chain. AIT addresses critical challenges in trust, privacy, and scalability, ensuring secure and efficient AI execution.
Key Features of the AIT:
- Trusted Execution
Special nodes enhanced with Trusted Execution Environments (TEEs) ensure secret share distribution and robust attestation for secure computation. - Leading Privacy
Using Secure Multi-Party Computation (SMPC) and Zero-Knowledge Proofs (ZKP), Nesa ensures privacy-preserving computation with full verifiability. - Environment Standardization
Nesa standardizes the execution environment by containerizing models, specifying OS versions, compile options, and hardware specs. This eliminates variability and ensures consistency in AI model execution. - Two-Phase Transactions
High throughput and low latency are achieved through Inference Request Queueing, enabling seamless, scalable AI inference processing. - Robust Inference Committee Selection
A secure and fair selection process using Verifiable Random Functions (VRFs) ensures the integrity and trustworthiness of the inference committee. - Custom Aggregation
Flexible aggregation methods allow tailored inference outputs to meet diverse application needs.
End-to-End Decentralized Model Querying
Nesa’s network is the first to offer a fully decentralized model querying system. AI models and query templates are containerized on-chain, while an ecosystem of off-chain services, such as vector storage and Retrieval-Augmented Generation (RAG), supports AI execution.
How It Works:
- NES Miners: Miners execute AI inference locally on decentralized TEE compute provided by Nesa.
- Consensus: Results are validated and reported on-chain using ZK proofs in a privacy-preserving transaction.
- Ecosystem Integration: The network hosts augmentative services to enhance AI workflows, ensuring scalability and reliability.
Model Consistency & Reliability
Uniformity in model execution is a cornerstone of the AIT. Every computational factor — OS, hardware, compilation options — is chartered to ensure:
- Model Config Specificity: Rigorous configuration eliminates variability, guaranteeing consistent inference outcomes.
- Decentralized Inference Protocol: A standardized execution protocol ensures reliable, real-time AI behavior across all nodes.
Privacy with Hybrid Enhanced ZK
To safeguard integrity and prevent dishonest behavior, Nesa employs a two-phase transaction structure using the commit-reveal paradigm. This incentivizes honest computation while ensuring trust in inference results.
Deterministic AI with VRF & Pseudo-Random Seed
Randomness in AI models can hinder reproducibility, but Nesa solves this by:
- Fixing random seeds for deterministic results.
- Leveraging Verifiable Random Functions (VRFs) for unbiased, provable public randomness when needed.
Kernel Validation for Reliability
Before an AI kernel is stored on-chain, it undergoes rigorous validation to ensure:
- Compliance with the specified configuration template.
- Consistent results across diverse environments, ensuring reliability and trust.
The Future of Decentralized AI
Nesa is setting a new standard for decentralized AI by offering a network that combines security, privacy, and innovation. With its AI Terminal and robust infrastructure, Nesa empowers developers to build scalable AI solutions that redefine user experiences and business operations.
Join us in shaping the future of AI — Experience fully decentralized AI with Nesa! 🌐
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