ZkAGI (ZkAGI)

ZkAGI introduces an approach to privacy-preserving AI by integrating the computational capabilities of a GPU DEPIN network with the security features of a ZKML coprocessor. This combination enables secure training and inference of AI models by validating computations without exposing sensitive data.

Funding Round: N/A

Whitepaper

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NA

Updated: Feb 13, 2025

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Ticker

ZkAGI

Type

Utility-token

Token standard

SPL

FoundedIndia

Launchpads

AITECH PAD

Ecosystems

Solana

What is ZkAGI

ZkAGI (Zero-Knowledge Artificial General Intelligence) is a framework designed to advance decentralized physical infrastructure networks (DePIN) by promoting privacy-preserving AI technologies. Its primary objective is to incentivize GPU providers, model trainers, AI developers, and data owners to participate in a secure ecosystem. ZkAGI achieves this through the integration of federated learning and zero-knowledge proofs, ensuring that AI model inference and data remain private.

Key features of ZkAGI include:

• Privacy-preserving AI using cryptographic techniques for zero-leakage model inference
• Decentralized AI model training and inference using GPU networks across a global scale
• Zero-Knowledge Machine Learning (ZKML) for verifiable AI execution without revealing sensitive data
• Utilization of Transformer-based Large Language Models (LLMs) for accurate natural language processing