POKT Network's decentralized Remote Procedure Call (RPC) infrastructure, surpassing 740 billion requests since launching on MainNet in 2020, is well-positioned to extend into providing AI inference services with minimal design or implementation modifications. This litepaper illustrates how the network's open-source and permissionless design aligns incentives among model researchers, hardware operators, API providers and users whom we term model Sources, Suppliers, Gateways and Applications respectively. Through its Relay Mining algorithm, POKT creates a transparent marketplace where costs and earnings directly reflect cryptographically verified usage. This decentralized framework offers large model AI researchers a new avenue to disseminate their work and generate revenue without the complexities of maintaining infrastructure or building end-user products. Supply scales naturally with demand, as evidenced in recent years and the protocol's free market dynamics. POKT Gateways facilitate network growth, evolution, adoption, and quality by acting as application-facing load balancers, providing value-added features without managing LLM nodes directly. This vertically decoupled network, battle tested over several years, is set up to accelerate the adoption, operation, innovation and financialization of open-source models. It is the first mature permissionless network whose quality of service competes with centralized entities set up to provide application grade inference.

翻译：POKT网络自2020年主网上线以来，其去中心化远程过程调用（RPC）基础设施已处理超过7400亿次请求，具备以最小设计或实现改动扩展至提供AI推理服务的良好基础。本技术白皮书阐述该网络的开源与无许可设计如何协调模型研究者、硬件运营商、API提供商及用户（我们分别称之为模型源、供应商、网关和应用）之间的激励。通过其Relay Mining算法，POKT创建了一个透明的市场，其成本与收益直接反映经密码学验证的使用情况。该去中心化框架为大型AI模型研究者提供了传播研究成果并获取收益的新途径，同时规避了维护基础设施或构建终端用户产品的复杂性。供需关系通过自由市场机制自然调节，近年来的实践与协议运行已印证此点。POKT网关作为面向应用的负载均衡器，通过提供增值功能（无需直接管理LLM节点）促进网络增长、演进、采用与质量提升。这一历经多年实战检验的垂直解耦网络，旨在加速开源模型的采用、运营、创新与金融化进程。作为首个成熟的无许可网络，其服务质量已达到与中心化实体提供的应用级推理服务相竞争的水平。