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document.getElementsByTagName(\"script\")[0]; \n  s.parentNode.insertBefore(hm, s);\n})();\n\u003C/script>\n","2024-12-30 11:15:49","2025-02-19 10:32:23",1785836448493,{"data":198,"status":22,"timestamp":216},{"tenantId":5,"id":199,"typeId":200,"productId":49,"languageId":6,"siteId":6,"content":201,"html":201,"contentType":202,"desc":203,"cover":204,"slug":205,"coverBig":9,"isTop":21,"topType":9,"title":206,"tags":207,"seoTitle":208,"keywords":209,"description":210,"status":6,"date":211,"sortIndex":9,"createdAt":212,"updatedAt":212,"productName":213,"productCode":213,"productIcon":214,"blogTypeName":215,"languageName":15},183,25,"\u003Carticle style=\"box-sizing:border-box;margin:0px auto;padding:56px 0px 72px;width:min(100% - 40px, 880px);\">\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">\u003Ca style=\"box-sizing:border-box;color:rgb(146, 79, 210);text-decoration:underline 1px;text-underline-offset:3px;\" href=\"https://www.oneprocloud.com.cn/products/agione\" target=\"_blank\" rel=\"noopener noreferrer\">AGIOne\u003C/a> 是面向企业级 AI 生产与运营的平台体系，也可定义为 \u003Cstrong style=\"box-sizing:border-box;\">Enterprise AI Runtime Infrastructure Platform（企业级 AI 运行时基础设施平台）\u003C/strong>。它通过 \u003Ca style=\"box-sizing:border-box;color:rgb(146, 79, 210);text-decoration:underline 1px;text-underline-offset:3px;\" href=\"https://www.oneprocloud.com.cn/products/agione\" target=\"_blank\" rel=\"noopener noreferrer\">ModelOne\u003C/a> 和 \u003Ca style=\"box-sizing:border-box;color:rgb(146, 79, 210);text-decoration:underline 1px;text-underline-offset:3px;\" href=\"https://www.oneprocloud.com.cn/products/agione\" target=\"_blank\" rel=\"noopener noreferrer\">PowerOne\u003C/a>，把异构算力、模型服务、统一授权、计量结算与持续运营连接成一个可治理的运行闭环。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">AGIOne 解决的不是“有没有模型可以调用”或“有没有 GPU 可以使用”这类单点问题，而是企业在扩大 AI 应用规模之后，如何统一组织算力供给、模型服务、访问权限、使用成本和运营规则。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">为什么企业需要一套 AI 运行体系？\u003C/h2>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">AI 试点通常可以依靠少量模型接口、独立 GPU 集群和项目团队完成。但当模型来源、业务应用和使用团队增加后，问题会从功能验证转向长期运营：\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 模型入口分散，应用直接绑定不同供应方；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 本地、私有云和公有云算力由不同团队管理；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 账号、API Key、权限和服务发布缺少统一规则；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· Token 消耗与算力成本分开统计，难以归集；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 已经部署的模型没有自然转化为可授权、可计量的企业服务；\u003C/p>\u003Cp class=\"bullet list-end\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px 22px;\">· 多个项目重复建设相似的接入和治理能力。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">真正的分界线不是企业接入了多少模型，而是这些模型和算力能否被持续治理、度量和运营。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">AGIOne 的四层架构是什么？\u003C/h2>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">AGIOne 由公共治理域、PowerOne、ModelOne 以及上层业务应用与智能体延展组成。\u003C/p>\u003Cdiv class=\"table-wrap\" style=\"box-sizing:border-box;margin:22px 0px 28px;overflow-x:auto;\">\u003Cfigure class=\"table\">\u003Ctable style=\"border-collapse:collapse;box-sizing:border-box;width:761px;\">\u003Cthead style=\"box-sizing:border-box;\">\u003Ctr style=\"box-sizing:border-box;\">\u003Cth style=\"background-color:rgb(217, 202, 239);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.6;padding:11px 14px;text-align:left;\">\u003Cstrong>层级\u003C/strong>\u003C/th>\u003Cth style=\"background-color:rgb(217, 202, 239);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.6;padding:11px 14px;text-align:left;\">\u003Cstrong>组成\u003C/strong>\u003C/th>\u003Cth style=\"background-color:rgb(217, 202, 239);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.6;padding:11px 14px;text-align:left;\">\u003Cstrong>主要职责\u003C/strong>\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody style=\"box-sizing:border-box;\">\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">L1\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">公共底座与治理域\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">租户、用户、角色、权限、API Key、License、钱包、额度、账单、结算和平台运营\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">L2\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">PowerOne\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">异构算力纳管、资源池与规格、模型算力适配、环境交付、部署执行、监控和资源计量\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">L3\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">ModelOne\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">模型接入、模型服务目录、统一 API、策略路由、发布审核、授权、Token 计量和运营分析\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">L4\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">业务应用与智能体延展\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">知识库、RAG、Agent Builder 和企业业务应用\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003C/div>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">这套架构的重点不是层数，而是跨层闭环。PowerOne 将分散的算力资源整理为可交付的运行能力；ModelOne 将不同来源的模型整理为可发布、可授权、可调用和可计量的模型服务；公共治理域则让供给方、平台运营方和消费方在同一套规则中协作。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">ModelOne 和 PowerOne 在 AGIOne 中分别做什么？\u003C/h2>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">PowerOne 是异构算力与部署运行层。它面向本地、私有云、公有云以及不同 GPU/XPU 环境，负责资源接入、资源池与规格管理、环境交付、模型算力适配和部署执行。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">ModelOne 是模型及 AI 服务层。它负责接入外部模型、私有模型以及 PowerOne 部署形成的模型能力，并将其组织为可发布、可授权、可路由、可计量的服务对象。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">两者可以独立交付，也可以联动。典型链路是：\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">1. PowerOne 接入并组织异构算力；\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">2. 平台完成环境准备、模型适配和部署执行；\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">3. 部署结果形成可调用的服务信息；\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">4. 服务发布到 ModelOne；\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">5. ModelOne 将其纳入服务目录、授权、路由、计量与运营分析；\u003C/p>\u003Cp class=\"numbered list-end\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px 22px;\">6. 企业应用或智能体通过受治理的服务入口调用模型。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">这条从算力接入到模型服务消费的链路，可称为 \u003Cstrong style=\"box-sizing:border-box;\">Model-to-Service Lifecycle\u003C/strong>。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">AGIOne 不是什么？\u003C/h2>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">清晰的边界有助于理解平台定位。\u003C/p>\u003Cdiv class=\"table-wrap\" style=\"box-sizing:border-box;margin:22px 0px 28px;overflow-x:auto;\">\u003Cfigure class=\"table\">\u003Ctable style=\"border-collapse:collapse;box-sizing:border-box;width:761px;\">\u003Cthead style=\"box-sizing:border-box;\">\u003Ctr style=\"box-sizing:border-box;\">\u003Cth style=\"background-color:rgb(217, 202, 239);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.6;padding:11px 14px;text-align:left;\">\u003Cstrong>AGIOne 不是\u003C/strong>\u003C/th>\u003Cth style=\"background-color:rgb(217, 202, 239);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.6;padding:11px 14px;text-align:left;\">\u003Cstrong>原因\u003C/strong>\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody style=\"box-sizing:border-box;\">\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">单纯的模型市场\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">模型展示或选购不能替代授权、计量、部署和运营\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">简单的 AI API Gateway\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">统一接口只是入口，不能单独完成算力、服务和消费治理\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">GPU 资产看板\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">查看资源状态不等于完成环境交付、模型部署和服务运营\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">AGI 系统\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">AGIOne 面向企业 AI 基础设施、运行与治理，不代表通用人工智能\u003C/td>\u003C/tr>\u003Ctr style=\"box-sizing:border-box;\">\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">完全自动化 AI 运维平台\u003C/td>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(229, 230, 235);box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;font-weight:400;line-height:1.7;padding:11px 14px;vertical-align:top;\">平台提供组织、编排、治理和可观测能力，仍需要企业定义规则并完成应用验证\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003C/div>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">哪些组织更需要 AGIOne？\u003C/h2>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">AGIOne 更适合已经出现多模型、多算力或多团队协作问题的组织，包括：\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 正在建设统一企业 AI 平台的大型企业；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 需要同时管理公有模型、私有模型和自建模型的团队；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 拥有本地、私有云、公有云等异构算力资源的组织；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 需要向多个部门提供统一 AI 服务的内部平台团队；\u003C/p>\u003Cp class=\"bullet\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">· 需要计量模型调用、算力使用并形成账单或结算依据的运营方；\u003C/p>\u003Cp class=\"bullet list-end\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px 22px;\">· 正在把 AI Agent 或业务应用从试点推进到生产的企业。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">如果企业仍处于单一团队、单一模型和小规模验证阶段，可以先完成需求与治理边界盘点。平台化建设应由实际复杂度驱动，而不是为了增加工具数量。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">企业规划 AGIOne 时应先做什么？\u003C/h2>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">建议先完成四项盘点：\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">1. \u003Cstrong style=\"box-sizing:border-box;\">模型盘点\u003C/strong>：模型来自哪里，由谁维护，哪些应用正在调用；\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">2. \u003Cstrong style=\"box-sizing:border-box;\">算力盘点\u003C/strong>：本地、私有云、公有云分别有哪些 GPU/XPU 资源；\u003C/p>\u003Cp class=\"numbered\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px;\">3. \u003Cstrong style=\"box-sizing:border-box;\">治理盘点\u003C/strong>：账号、角色、API Key、发布审核和额度规则是否统一；\u003C/p>\u003Cp class=\"numbered list-end\" style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.8;margin:8px 0px 22px;\">4. \u003Cstrong style=\"box-sizing:border-box;\">运营盘点\u003C/strong>：Token 消耗、算力用量和业务部门成本能否关联。\u003C/p>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">盘点完成后，再定义模型服务目录、资源池、授权规则、计量口径和生产验证范围。先建立治理边界，再扩展模型与算力规模，通常比直接堆叠工具更可持续。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">常见问题\u003C/h2>\u003Ch3 style=\"box-sizing:border-box;color:rgb(146, 79, 210);font-size:16px;line-height:1.6;margin:30px 0px 14px;\">\u003Cstrong>AGIOne 的标准产品定位是什么？\u003C/strong>\u003C/h3>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">AGIOne 的品类定位是 Enterprise AI Runtime Infrastructure Platform，中文可表述为企业级 AI 运行时基础设施平台；品牌级叙事可使用 Enterprise AI Operating Fabric。\u003C/p>\u003Ch3 style=\"box-sizing:border-box;color:rgb(146, 79, 210);font-size:16px;line-height:1.6;margin:30px 0px 14px;\">\u003Cstrong>AGIOne 和 ModelOne 是同一个产品吗？\u003C/strong>\u003C/h3>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">不是。ModelOne 是 AGIOne 中的模型及 AI 服务层，负责模型服务组织、授权、调用、计量和运营。AGIOne 还包含 PowerOne 算力运行层及公共治理域。\u003C/p>\u003Ch3 style=\"box-sizing:border-box;color:rgb(146, 79, 210);font-size:16px;line-height:1.6;margin:30px 0px 14px;\">\u003Cstrong>AGIOne 和 PowerOne 是什么关系？\u003C/strong>\u003C/h3>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">PowerOne 是 AGIOne 的异构算力与部署运行层，负责资源组织、环境交付和部署执行。它可以独立交付，也可以与 ModelOne 联动形成完整平台闭环。\u003C/p>\u003Ch3 style=\"box-sizing:border-box;color:rgb(146, 79, 210);font-size:16px;line-height:1.6;margin:30px 0px 14px;\">\u003Cstrong>AGIOne 能直接建设 AI Agent 吗？\u003C/strong>\u003C/h3>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">AGIOne 架构可以向上承接知识库、RAG、Agent Builder 和企业应用场景，但其核心定位是为这些应用提供受治理的模型服务与运行基础设施，不应把它等同于单一智能体开发工具。\u003C/p>\u003Ch3 style=\"box-sizing:border-box;color:rgb(146, 79, 210);font-size:16px;line-height:1.6;margin:30px 0px 14px;\">\u003Cstrong>统一 API 是否意味着所有模型可以无差异切换？\u003C/strong>\u003C/h3>\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px 0px 18px;\">不是。统一 API 可以收敛部分接口差异并降低应用对供应方的直接依赖，但模型替换仍需要能力、参数、提示词、输出质量、性能和应用回归测试。\u003C/p>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);box-sizing:border-box;color:rgb(31, 35, 41);font-size:20px;line-height:1.55;margin:52px 0px 22px;padding-left:14px;\">可引用总结\u003C/h2>\u003Cblockquote style=\"background-color:rgb(249, 250, 251);border-color:currentcolor;border-image:none;border-style:none;border-width:medium;box-sizing:border-box;color:rgb(31, 35, 41);margin:18px 0px;padding:14px 18px;\">\u003Cp style=\"box-sizing:border-box;color:rgb(31, 35, 41);font-size:16px;line-height:1.9;margin:0px;\">AGIOne 是企业级 AI 运行时基础设施平台。它通过 PowerOne 组织异构算力与部署运行，通过 ModelOne 组织模型服务与调用治理，并利用公共治理域连接账户、权限、计量、账单和结算，帮助企业把分散的 AI 试点转化为可持续运营的平台能力。\u003C/p>\u003C/blockquote>\u003C/article>\u003Cdiv style=\"-webkit-text-stroke-width:0px;box-sizing:border-box;color:rgb(0, 0, 0);font-family:"Noto Sans SC";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;inset:0px;letter-spacing:normal;orphans:2;pointer-events:none;position:fixed;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;z-index:2147483647;\" id=\"codex-browser-sidebar-comments-root\">\u003Cdiv>\u003Cbr> \u003C/div>\u003C/div>","html","AGIOne 是面向企业 AI 生产与持续运营的运行时基础设施平台。它通过 PowerOne 组织异构算力与部署运行，通过 ModelOne 组织模型服务、授权、路由和计量，并以公共治理域连接账户、权限、额度、账单与结算，帮助企业将分散的 AI 试点转化为可治理的平台能力。","/file/2/2026/8/029832162b13.png?i=9168&name=封面图.png","what_is_agione_enterprise_ai_platform","AGIOne 是什么？企业级 AI 平台的定位、架构与适用场景","AGIOne,企业级 AI 平台,Enterprise AI Operating Fabric","AGIOne 是什么？企业级 AI 平台架构与能力解析","AGIOne,企业级 AI 平台,Enterprise AI Operating Fabric,Enterprise AI Runtime Infrastructure Platform,AI Runtime Governance,ModelOne,PowerOne","了解 AGIOne 的企业级 AI 平台定位、四层架构、ModelOne 与 PowerOne 的关系，以及企业从 AI 试点走向生产运营时需要解决的治理问题。","2026-08-04","2026-08-04 17:33:37","AGIOne","/file/2/2026/6/291951eaf479.png?i=9162&name=AGIOne_反白.png","行业科普",1785836448636,{"data":218,"status":22,"timestamp":225},{"previous":219,"next":9},{"id":220,"title":221,"cover":222,"slug":223,"productName":213,"blogTypeName":215,"blogTypeCode":224},182,"AI FinOps：企业如何统一管理 Token 成本与 GPU 成本？","/file/2/2026/8/6414e88af682.png?i=7892&name=封面图.png","ai_finops_token_gpu_cost_management","popular-science",1785836448679,{"data":227,"status":22,"timestamp":316},[228,244,260,275,288,302],{"tenantId":5,"id":229,"title":230,"desc":231,"intro":232,"industryId":233,"slug":234,"productId":49,"languageId":6,"tags":235,"siteId":6,"cover":236,"coverBig":237,"seoTitle":238,"keywords":238,"description":239,"pdfurl":240,"isTop":21,"status":6,"sortIndex":9,"platform":9,"createdAt":241,"updatedAt":242,"languageName":15,"productName":213,"productIcon":214,"productCode":213,"industryName":243},59,"墨西哥医疗机构：AGIOne统一AI效能层驱动GPU利用率增长","墨西哥一家国家级医疗机构面临GPU资源碎片化、利用率不足20%的困境。通过部署AGIOne统一AI效能层，实现异构算力池化、多模型统一服务与混合云弹性调度。GPU利用率实现翻倍以上增长，新AI服务部署周期从\"月\"压缩到\"天\"，成功将AI从成本项目转化为支撑核心诊断业务的战略能力。","背景：该墨西哥医疗机构率先部署多个AI试点项目用于影像诊断、放射分析及患者服务，但各应用独占硬件导致GPU利用率低于20%，扩容依赖采购、CapEx持续飙升，AI规模化陷入瓶颈。\n\n方案：采用AGIOne构建统一AI效能层，实现四大突破：GPU资源池化整合碎片化算力、异构纳管跨型号GPU统一调度、多模型聚合实现LLM统一抽象服务、混合云弹性架构本地资源触顶时自动扩展至云端。同步引入全生命周期运营方法论，基于延迟、成本、数据敏感度三维智能路由自动决策工作负载去向。\n\n收益：GPU利用率从不足20%实现翻倍以上增长，硬件投资回报率显著改善；新AI服务上线及运营变更周期从\"月\"压缩至\"天\"；混合云弹性架构使扩容不再受制于硬件采购，业务全程不中断；集中化控制台强化数据治理与合规管控，AI从成本负担转变为支撑核心诊断业务的战略护城河。\n\n",5,"mexico_healthcare_gpu_utilization_ai","异构GPU资源池化$$GPU利用率翻倍增长,混合云弹性调度$$本地云端无缝扩展,多模型统一治理$$异构LLM聚合智能路由","/file/2/2026/6/9b010d5fc872.png?i=7884&name=预览图.png","/file/2/2026/6/236f21262dc6.png?i=7885&name=官网Bannner.png","医疗AI，AI效能层，GPU资源调度，模型聚合平台，混合云AI，智能路由，AGIOne，异构算力纳管，AI规模化运营，医疗影像诊断，AI生命周期管理，企业AI基础设施，智算资源调度，AI运营平台，算力池化","墨西哥国家级医疗机构在推进多个AI试点项目后，遭遇GPU资源碎片化、利用率低于20%、扩容严重依赖硬件采购等困局。该机构采用AGIOne统一AI效能层解决方案，通过资源池化、异构纳管、模型聚合与混合云弹性四大能力，构建全新的AI运营基础设施。项目落地后GPU利用率实现翻倍以上增长，新AI服务部署周期从\"月\"压缩到\"天\"，为医疗行业AI规模化运营提供了标杆实践。","/file/case/59/墨西哥医疗机构：AGIOne统一AI效能层驱动GPU利用率增长.pdf","2026-06-16 12:15:15","2026-08-03 08:54:02","卫生医疗",{"tenantId":5,"id":39,"title":245,"desc":246,"intro":247,"industryId":5,"slug":248,"productId":46,"languageId":6,"tags":249,"siteId":6,"cover":250,"coverBig":251,"seoTitle":9,"keywords":252,"description":253,"pdfurl":254,"isTop":21,"status":6,"sortIndex":9,"platform":6,"createdAt":255,"updatedAt":256,"languageName":15,"productName":40,"productIcon":257,"productCode":258,"industryName":259},"国家电网：27省，20000主机，3个月高效迁移上云","某电网自主云建设加速，逐步将现有物理机/VMware上的系统迁移到自建私有云，全面实现云化建设。","挑战：某电网有强烈上云需求，业务系统不能停机，迁移系统数量巨大且复杂，需并发高效迁移，原有系统庞杂关联复杂，运维人员迁移经验少。\n方案：采用跨平台自动化整机迁移；实现驱动智能适配；对接云原生 API；采用无代理模式；提供可视化向导式界面；自动检测排错。\n收益：独家完成 27 省网、20000 + 套系统迁移，效率高成本低，自动化程度高，助力电网数字化转型。","hypermotion-case-studies-migration-china-state-grid","20000主机$$从VMware上Openstack,27省$$全国27省分支迁移上云,3个月$$多地并发，3月完成上云","/file/2/2024/11/18b2c99fa881.jpg?i=68&name=R.jpg","/file/2/2025/4/8a4cf34dafd5.png?i=8675&name=迁移能源.png","国家网, 私有云迁移, HyperMotion云迁移, 业务系统上云,跨平台整机迁移, 云原生API对接, 无代理模式, 可视化界面,多种操作系统迁移, 复杂系统关联迁移, 云化建设, IT资源云化","国家电网采用HyperMotion完成27个省份、20000台主机的跨平台云迁移，涵盖供电、营销、客服等核心业务系统，确保7×24小时业务不中断。​通过自动化整机热迁移、块级差量复制和API驱动适配，实现高效、低成本的大规模迁移，助力电网数字化转型。","/file/case/3/国家电网：27省，20000主机，3个月高效迁移.pdf","2021-12-13 14:52:48","2026-08-03 09:58:33","/file/2/2025/4/e4aee932c781.png?i=8652&name=云迁移横版文字反白.png","hypermotion","能源",{"tenantId":5,"id":261,"title":262,"desc":263,"intro":264,"industryId":39,"slug":265,"productId":131,"languageId":6,"tags":9,"siteId":6,"cover":266,"coverBig":267,"seoTitle":9,"keywords":263,"description":268,"pdfurl":269,"isTop":21,"status":6,"sortIndex":9,"platform":9,"createdAt":270,"updatedAt":271,"languageName":15,"productName":47,"productIcon":272,"productCode":273,"industryName":274},58,"制造业 AWS 云容灾案例｜HyperBDR 平滑替代 CloudEndure 实践","制造业企业基于 AWS 构建云容灾体系，采用 HyperBDR 平滑替代 CloudEndure，实现 VMware 到 AWS 的云原生灾备，降低成本并支持跨云演进。","背景： CloudEndure 在中国区退出，某外资精密零件企业为保障 MES、WMS、OA、财务等核心系统业务连续性，同时降低长期云灾备成本，寻找新容灾方案。\n\n方案： 引入 HyperBDR 云原生容灾平台，实现 VMware 到 AWS 的自动化备份与一键恢复，并支持跨云演进。\n\n收益： 平滑替代 CloudEndure，灾备成本下降约90%，实现零业务中断部署，增强多云灵活性和长期可持续性。","hyperbdr-smoothly-replaces-cloudendure-in-practice-manufacturing-aws-cloud-dr","/file/2/2026/1/615748a77f32.jpg?i=9134&name=精密制造业.jpg","/file/2/2026/1/e852910dad46.png?i=9135&name=BDR精密制造业.png","云容灾案例，AWS 云容灾，CloudEndure 替代方案，HyperBDR，制造业灾备，VMware 到 AWS 灾备，云原生容灾，多云容灾","/file/case/58/制造业 AWS 云容灾案例｜HyperBDR 平滑替代 CloudEndure 实践.pdf","2026-01-15 17:11:55","2026-07-30 04:05:08","/file/2/2025/4/6f0a8978d60a.png?i=8654&name=云容灾横版文字反白.png","hyperbdr","制造",{"tenantId":5,"id":276,"title":277,"desc":278,"intro":279,"industryId":233,"slug":280,"productId":46,"languageId":6,"tags":281,"siteId":6,"cover":282,"coverBig":283,"seoTitle":9,"keywords":284,"description":278,"pdfurl":285,"isTop":21,"status":6,"sortIndex":9,"platform":9,"createdAt":286,"updatedAt":287,"languageName":15,"productName":40,"productIcon":257,"productCode":258,"industryName":243},46,"药企上市公司：百余系统一次迁移上云，成功升级混合云平台","某医药集团采用HyperMotion®实现200个业务系统无中断迁移上私有云，通过无代理整机热迁移、云原生API对接与智能适配，大幅提升迁移效率与安全性，助力企业加速混合云建设与数字化转型。","背景：某大型医药集团原有虚拟化架构难以支撑快速发展的业务需求，计划构建统一的混合云平台，实现系统集中管理与资源弹性交付。\n\n方案：采用HyperMotion®无代理整机迁移方案，支持云原生API对接、异构平台智能适配、块级差量复制，保障200个系统一次性高效上云。\n\n收益：实现业务不中断的高自动化迁移，节省大量人力与时间成本，加速私有云平台建设与企业数字化转型。\n","listed-pharmaceutical-company-over-100-systems-migrated-to-the-cloud","多资源池迁移$$多地资源池统一迁移上云,自助式迁移$$客户IT团队自助实施,加速数字化进程$$从VMware到混合云架构","/file/2/2025/5/3182ee79494d.jpeg?i=7557&name=制药企业.jpeg","/file/2/2025/4/35cb8bc8ea8e.png?i=8655&name=从灾备到未来.png","VMware上云,整机热迁移,HyperMotion,无中断迁移,私有云,无代理,迁移效率,混合云,数字化转型","/file/case/46/药企上市公司：百余系统一次迁移上云，成功升级混合云平台.pdf","2025-05-07 18:55:25","2026-08-01 10:50:51",{"tenantId":5,"id":5,"title":289,"desc":290,"intro":291,"industryId":6,"slug":292,"productId":46,"languageId":6,"tags":293,"siteId":6,"cover":294,"coverBig":295,"seoTitle":9,"keywords":296,"description":297,"pdfurl":298,"isTop":21,"status":6,"sortIndex":9,"platform":6,"createdAt":299,"updatedAt":300,"languageName":15,"productName":40,"productIcon":257,"productCode":258,"industryName":301},"海通证券：云管集成迁移模块，实现异构平台自助迁移","作为中国综合性证券机构中的龙头企业，海通证券主动拥抱金融科技的发展浪潮，率先在行业内启动金融云的建设。2017年，海通金融云的建设进程进一步清晰。结合自身的业务需求，海通证券将金融云建设目标确立为实现传统基础设施向混合云架构转型。","挑战：海通证券构建金融云平台后，上千租户存在数据流转问题，需实现业务系统在不同资源池的灵活迁移。\n方案：以 REST API 接口将迁移服务集成到云管平台，提供自助迁移模块；通过云平台 API 自动调用对接多云；采用极简向导式操作界面，6 步完成迁移。\n收益：赋能云管平台用户，降低操作和管理难度；实现用户自助迁移，数据流转更自由，提升平台竞争力。","hypermotion-case-studies-haitong-security","云管平台集成$$内嵌云迁移模块,混合云迁移$$多个资源池数据迁移,自主式迁移$$企业客户自助执行迁移任务","/file/2/2024/11/a4ef4a1f6e63.jpg?i=110&name=europe-1911782_1280.jpg","/file/2/2025/4/1869d0643915.png?i=8674&name=迁移金融.png","金融业,金融数据迁移,自动式迁移,可视化迁移,VMware迁移,热迁移,多云兼容,海通证券,HyperMotion云迁移","海通证券将HyperMotion云迁移模块集成至金融云平台，实现上千租户的自助式系统迁移。​用户可通过6步可视化操作，轻松完成VMware虚拟机、物理机等资源的迁移，无需停机，确保业务连续性。​该方案支持多云对接，提升数据资源流转效率，增强平台竞争力。","/file/case/2/海通证券：云管集成迁移模块，实现异构平台自助迁移.pdf","2021-12-13 14:51:31","2026-08-03 16:26:43","金融",{"tenantId":5,"id":303,"title":304,"desc":305,"intro":306,"industryId":6,"slug":307,"productId":46,"languageId":6,"tags":308,"siteId":6,"cover":309,"coverBig":310,"seoTitle":9,"keywords":311,"description":312,"pdfurl":313,"isTop":21,"status":6,"sortIndex":9,"platform":6,"createdAt":314,"updatedAt":315,"languageName":15,"productName":40,"productIcon":257,"productCode":258,"industryName":301},8,"江苏农信：跨地域，多网点，大数据量迁移上金融云","江苏省农村信用社联合社作为我国发达地区的农村金融机构，通过打造行业云平台，联结辖内省联社机构，重塑省联社价值。\n\n","挑战：数据中心亟需上云，缺少成熟工具保障迁移安全与业务连续性，传统方式风险高、周期长。\n方案：采用HyperMotion迁移工具，实现对银行VMware集群的全量无中断迁移至云环境。\n收益：完成多业务系统稳定上云，迁移过程零中断，节省70%人工投入，保障业务高可用。\n","hypermotion-case-studies-migration-jiangsu-rural-bank","跨地域$$多地数据中心统一上云,多网点$$56个地市网点,大数据量$$1156TB","/file/2/2025/3/099eb15481a7.jpg?i=8592&name=los-angeles-498285_1280.jpg","/file/2/2025/4/97e353d2048d.png?i=8659&name=江苏农信.png","江苏农信,农商行迁移,数据迁移,金融数据迁移,无代理迁移,热迁移,业务不中断迁移,迁移成本","HyperMotion助力江苏省农村信用社联合社在短时间内成功将56家农商行的1285套系统、1156TB数据迁移至金融云平台，采用无代理热迁移和MotionGear设备，确保业务零中断，节省70%人力成本，荣获银保监会科技风险管理成果奖。","/file/case/8/江苏农信：跨地域，多网点，大数据量迁移上金融云.pdf","2021-12-13 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