KeyFlow

  With the explosive growth of Large Language Models (LLMs) and Generative Artificial Intelligence (AIGC), global demand for high-performance computing power is surging. However, the high concentration of computing power supply, low computing resource utilization, and the lack of cross-platform collaboration mechanisms for AI Agents are becoming major bottlenecks hindering the intelligent transformation and upgrading of industries. The authoritative paper "Decentralized Artificial Intelligence: Convergence of Distributed Compute, Verifiable AI, and Smart Contracts," published in leading academic journals and presented at major conferences, explores the core paradigm of decentralized artificial intelligence in depth: building a self-driven AI Agent collaboration network by aggregating distributed computing resources, introducing Verifiable Machine Learning (Verifiable AI) technologies, and leveraging automated smart contracts. KeyFlow is positioned at the forefront of this t...

  After AI evolved from the standalone breakthroughs of large language models (LLMs) to collaboration among swarms of autonomous agents, global technology and financial infrastructure is undergoing an unprecedented structural overhaul. From the maturation of underlying distributed GPU compute networks to multi-agent systems making autonomous decisions in complex business scenarios, AI is evolving from a mere “productivity tool” into an “economic actor” capable of independent interaction. However, when hundreds of millions of AI agents begin autonomously fetching data, procuring compute, coordinating services, and allocating assets, traditional financial clearing systems and general-purpose public chain architectures run into significant efficiency and trust bottlenecks. Against this backdrop, KeyFlow has developed and launched the Agent Value Clearing Network, a decentralized clearing network purpose-built for AI agents, designed to provide high-concurrency, low-friction, transpare...