将闲置设备变成全球可信的AI算力网络，降低部署成本。
Ratio1 -- AI meta-OS
- 用区块链整合边缘设备算力，构建去中心化AI操作系统
- 采用双共识机制，提升算力可用性与AI贡献可信度
- 适合开发者、研究者和分布式计算爱好者使用
我们提出 Ratio1 AI 元操作系统（meta-OS），一种去中心化的 MLOps 协议，统一跨异构边缘设备的 AI 模型开发、部署与推理。其核心创新是基于区块链的框架，将闲置计算资源（笔记本、智能手机、云虚拟机）转化为无需信任的全球超级计算机。系统包含新组件：去中心化认证层（dAuth）、内存态状态数据库（CSTORE）、分布式存储系统（R1FS）、同态加密联邦学习（EDIL）、去中心化容器编排（Deeploy）和预言机网络（OracleSync），共同保障 AI 流水线及容器应用在大规模下的安全可靠执行。协议采用形式化的循环代币经济模型，结合存活性证明（PoA）与 AI 贡献证明（PoAI）共识。相比集中式异构云 MLOps 及现有去中心化计算平台，Ratio1 在集成 AI 工具链和可信节点运营机制上更优，显著降低 AI 部署门槛并提升成本效率。我们提供了安全授权与奖励协议的数学建模，以及系统架构与协议流程的描述。论证表明，该完整生态系统在可访问性、可扩展性和安全性方面优于现有方案。
原文摘要 · Abstract (English)
We propose the Ratio1 AI meta-operating system (meta-OS), a decentralized MLOps protocol that unifies AI model development, deployment, and inference across heterogeneous edge devices. Its key innovation is an integrated blockchain-based framework that transforms idle computing resources (laptops, smartphones, cloud VMs) into a trustless global supercomputer. The architecture includes novel components: a decentralized authentication layer (dAuth), an in-memory state database (CSTORE), a distributed storage system (R1FS), homomorphic encrypted federated learning (EDIL), decentralized container orchestration (Deeploy) and an oracle network (OracleSync), which collectively ensure secure, resilient execution of AI pipelines and other container based apps at scale. The protocol enforces a formal circular token-economic model combining Proof-of-Availability (PoA) and Proof-of-AI (PoAI) consensus. Compared to centralized heterogeneous cloud MLOps and existing decentralized compute platforms, which often lack integrated AI toolchains or trusted Ratio1 node operators (R1OP) mechanics, Ratio1's holistic design lowers barriers for AI deployment and improves cost-efficiency. We provide mathematical formulations of its secure licensing and reward protocols, and include descriptive information for the system architecture and protocol flow. We argue that our proposed fully functional ecosystem proposes and demonstrates significant improvements in accessibility, scalability, and security over existing alternatives.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。