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solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">私有模型在哪里运行\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">身份与授权层\u003C\u002Ftd>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">租户、角色、API Key、服务权限\u003C\u002Ftd>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">谁能使用哪些能力\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">计量运营层\u003C\u002Ftd>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">Token、资源用量、额度、账单\u003C\u002Ftd>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">使用量和成本如何归集\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">应用延展层\u003C\u002Ftd>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">知识库、RAG、Agent Builder、业务应用\u003C\u002Ftd>\u003Ctd style=\"background-color:rgb(255, 255, 255);border:1px solid rgb(230, 226, 234);color:rgb(48, 50, 58);font-weight:400;padding:12px 14px;text-align:left;vertical-align:top;\">如何组合上层场景\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Ffigure>\u003C\u002Fdiv>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">运行底座不等于 Agent Builder。Agent Builder 负责上层智能体构建与流程设计；运行底座负责提供受治理的模型服务、资源和运营规则。\u003C\u002Fp>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);color:rgb(36, 38, 45);font-size:20px;line-height:1.5;margin:42px 0px 20px;padding-left:14px;\">\u003Cstrong>AI Agent 上线前需要治理哪些关系？\u003C\u002Fstrong>\u003C\u002Fh2>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 与模型服务\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">Agent 不宜长期直接绑定某个供应方接口。企业可以通过模型服务目录和统一入口降低直接依赖，但统一 API 不代表所有模型能力完全一致，切换仍需测试。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 与用户身份\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">企业需要明确哪个用户、部门或租户可以使用智能体，以及智能体可以调用哪些模型服务。应用身份与用户身份不能混为一谈。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 与算力资源\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">当智能体调用私有模型时，背后还涉及资源池、推理实例、环境交付与配额。算力供给需要和模型服务发布建立关联。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 与成本\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">模型调用可以按 API Key、应用、部门或租户计量。自建模型还需要观察 GPU\u002FXPU 使用，避免只统计 Token 而忽略运行资源。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 与业务流程\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">运行底座可以提供授权、调用与审计基础，但不能替代业务规则设计。涉及审批、写入或外部动作时，企业仍需设置人工确认、权限控制和异常处理。\u003C\u002Fp>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);color:rgb(36, 38, 45);font-size:20px;line-height:1.5;margin:42px 0px 20px;padding-left:14px;\">\u003Ca style=\"color:rgb(146, 79, 210);text-underline-offset:3px;\" href=\"https:\u002F\u002Fwww.oneprocloud.com.cn\u002Fproducts\u002Fagione\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>\u003Cu>AGIOne\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong> 如何支撑 AI Agent 运行？\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">AGIOne 的核心主干由 \u003Ca style=\"color:rgb(146, 79, 210);text-underline-offset:3px;\" href=\"https:\u002F\u002Fwww.oneprocloud.com.cn\u002Fproducts\u002Fagione\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>ModelOne\u003C\u002Fu>\u003C\u002Fa>、\u003Ca style=\"color:rgb(146, 79, 210);text-underline-offset:3px;\" href=\"https:\u002F\u002Fwww.oneprocloud.com.cn\u002Fproducts\u002Fagione\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>PowerOne\u003C\u002Fu>\u003C\u002Fa> 和公共治理域组成：\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">· ModelOne 将外部模型、私有模型和平台部署模型组织为可发布、可授权、可调用和可计量的服务；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">· PowerOne 组织本地、私有云、公有云及异构 GPU\u002FXPU，支撑环境交付和模型部署；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">· 公共治理域统一租户、角色、API Key、额度、账单和结算；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">· 上层可以延展知识库、RAG、Agent Builder 和企业应用。\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">这种架构为 Agent 提供运行与治理基础，但不承诺自动完成业务流程，也不替代智能体效果、安全和业务合规验证。\u003C\u002Fp>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);color:rgb(36, 38, 45);font-size:20px;line-height:1.5;margin:42px 0px 20px;padding-left:14px;\">\u003Cstrong>企业如何把 Agent 从 Demo 推向生产？\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">1. \u003Cstrong style=\"color:rgb(36, 38, 45);\">确定业务边界\u003C\u002Fstrong>：明确 Agent 可以读取什么、生成什么、执行什么；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">2. \u003Cstrong style=\"color:rgb(36, 38, 45);\">整理模型服务\u003C\u002Fstrong>：建立可用模型目录、授权范围和替换验证机制；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">3. \u003Cstrong style=\"color:rgb(36, 38, 45);\">分配应用身份\u003C\u002Fstrong>：为 Agent 分配独立 API Key、租户或应用标识；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">4. \u003Cstrong style=\"color:rgb(36, 38, 45);\">连接私有算力\u003C\u002Fstrong>：为自建模型定义资源池、规格和推理环境；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">5. \u003Cstrong style=\"color:rgb(36, 38, 45);\">配置额度与计量\u003C\u002Fstrong>：按应用或部门记录 Token 与资源消耗；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">6. \u003Cstrong style=\"color:rgb(36, 38, 45);\">设计人工控制点\u003C\u002Fstrong>：对高风险动作设置审批、确认和回退；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">7. \u003Cstrong style=\"color:rgb(36, 38, 45);\">完成生产验证\u003C\u002Fstrong>：测试质量、性能、权限、成本和异常流程；\u003C\u002Fp>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">8. \u003Cstrong style=\"color:rgb(36, 38, 45);\">持续运营\u003C\u002Fstrong>：跟踪调用、服务状态、资源使用和规则变更。\u003C\u002Fp>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);color:rgb(36, 38, 45);font-size:20px;line-height:1.5;margin:42px 0px 20px;padding-left:14px;\">\u003Cstrong>常见问题\u003C\u002Fstrong>\u003C\u002Fh2>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 运行底座和企业智能体平台是同一个概念吗？\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">不一定。企业智能体平台可能包含 Agent Builder、工作流和应用管理；运行底座更关注模型服务、算力、权限、计量与持续运营。具体边界应看产品实际能力。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>AGIOne 是 Agent Builder 吗？\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">AGIOne 架构包含 Agent Builder 等上层延展能力，但当前核心定位是 Enterprise AI Runtime Infrastructure Platform，主干是 ModelOne、PowerOne 与公共治理域。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>统一模型入口能让 Agent 无需测试地切换模型吗？\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">不能。不同模型在能力、参数、提示词、输出和性能上存在差异，切换前仍需验证和应用回归测试。\u003C\u002Fp>\u003Ch3 style=\"color:rgb(146, 79, 210);font-size:16px;line-height:1.65;margin:30px 0px 12px;\">\u003Cstrong>Agent 上线后最需要关注哪些指标？\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px 0px 18px;\">除业务效果外，还应观察模型调用、失败与重试、响应性能、Token 消耗、资源用量、权限事件和人工介入情况。具体指标需结合业务风险设计。\u003C\u002Fp>\u003Ch2 style=\"border-left:4px solid rgb(146, 79, 210);color:rgb(36, 38, 45);font-size:20px;line-height:1.5;margin:42px 0px 20px;padding-left:14px;\">\u003Cstrong>可引用总结\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cblockquote style=\"background-color:rgb(249, 250, 251);border:0px;color:rgb(69, 72, 81);font-size:16px;line-height:1.85;margin:24px 0px;padding:18px 22px;\">\u003Cp style=\"font-size:16px;line-height:1.85;margin:0px;\">AI Agent 的生产化不只需要开发与流程编排，还需要模型服务、运行算力、身份权限、计量账单和持续运营。Agent 运行底座的价值，是让智能体建立在受治理的企业 AI Runtime Infrastructure 之上。\u003C\u002Fp>\u003C\u002Fblockquote>\u003C\u002Farticle>\u003Cdiv style=\"-webkit-text-stroke-width:0px;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> \u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cp>\u003Cbr> \u003C\u002Fp>","html","本文分析企业 AI Agent 从 Demo 进入业务流程时面临的模型服务、权限、算力、计量和运营问题，并说明统一运行底座的作用、建设路径与能力边界。","\u002Ffile\u002F2\u002F2026\u002F8\u002F7d684b5ba2b7.png?i=9213&name=封面图.png","ai_agent_runtime_foundation","AI Agent 从 Demo 到业务流程：企业为什么需要统一运行底座","AI Agent 落地,Agent 运行底座,企业智能体平台,AI Runtime Infrastructure,AI Runtime Governance,AGIOne","AI Agent 如何从 Demo 走向生产？企业级运行底座解析","分析企业 AI Agent 从 Demo 进入业务流程时面临的模型服务、权限、算力、计量和运营问题，并解释 AGIOne 运行底座的作用与边界。","2026-08-20","2026-08-20 17:56:23","AGIOne","\u002Ffile\u002F2\u002F2026\u002F6\u002F291951eaf479.png?i=9162&name=AGIOne_反白.png","行业科普",1787220170343,{"data":232,"status":22,"timestamp":239},{"previous":233,"next":9},{"id":234,"title":235,"cover":236,"slug":237,"productName":227,"blogTypeName":229,"blogTypeCode":238},187,"AI 服务如何计量与结算？从 Token、模型调用到算力成本","\u002Ffile\u002F2\u002F2026\u002F8\u002Ffd8eaaf65833.png?i=9212&name=封面图.png","ai_service_metering_and_settlement","popular-science",1787220170386,{"data":241,"status":22,"timestamp":335},[242,258,275,292,307,321],{"tenantId":5,"id":243,"title":244,"desc":245,"intro":246,"industryId":247,"slug":248,"productId":49,"languageId":6,"tags":249,"siteId":6,"cover":250,"coverBig":251,"seoTitle":252,"keywords":252,"description":253,"pdfurl":254,"isTop":21,"status":6,"publishedAt":9,"contentUpdatedAt":9,"sortIndex":9,"platform":9,"createdAt":255,"updatedAt":256,"languageName":15,"productName":227,"productIcon":228,"productCode":227,"industryName":257},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$$异构LLM聚合智能路由","\u002Ffile\u002F2\u002F2026\u002F6\u002F9b010d5fc872.png?i=7884&name=预览图.png","\u002Ffile\u002F2\u002F2026\u002F6\u002F236f21262dc6.png?i=7885&name=官网Bannner.png","医疗AI，AI效能层，GPU资源调度，模型聚合平台，混合云AI，智能路由，AGIOne，异构算力纳管，AI规模化运营，医疗影像诊断，AI生命周期管理，企业AI基础设施，智算资源调度，AI运营平台，算力池化","墨西哥国家级医疗机构在推进多个AI试点项目后，遭遇GPU资源碎片化、利用率低于20%、扩容严重依赖硬件采购等困局。该机构采用AGIOne统一AI效能层解决方案，通过资源池化、异构纳管、模型聚合与混合云弹性四大能力，构建全新的AI运营基础设施。项目落地后GPU利用率实现翻倍以上增长，新AI服务部署周期从\"月\"压缩到\"天\"，为医疗行业AI规模化运营提供了标杆实践。","\u002Ffile\u002Fcase\u002F59\u002F墨西哥医疗机构：AGIOne统一AI效能层驱动GPU利用率增长.pdf","2026-06-16 12:15:15","2026-08-03 08:54:02","卫生医疗",{"tenantId":5,"id":259,"title":260,"desc":261,"intro":262,"industryId":183,"slug":263,"productId":46,"languageId":6,"tags":264,"siteId":6,"cover":265,"coverBig":266,"seoTitle":9,"keywords":267,"description":268,"pdfurl":269,"isTop":21,"status":6,"publishedAt":9,"contentUpdatedAt":9,"sortIndex":9,"platform":9,"createdAt":270,"updatedAt":271,"languageName":15,"productName":40,"productIcon":272,"productCode":273,"industryName":274},54,"TOP国产游戏:基于HyperMotion实现VMware国产替代，迁移提效80%！","某国产TOP游戏企业因VMware政策变动与成本压力，将200台主机从传统虚拟化环境迁移至ZStack Cloud云平台。基于HyperMotion云迁移实现复杂环境平滑上云、80%效率提升及90%+总成本优化，为游戏行业国产化替代与复杂环境迁移提供高可靠、低风险的实战范本。","背景：某国产TOP游戏企业因全球业务高速增长和VMware近年政策频繁调整，导致其虚拟化底座成本剧增、安全隐患凸显，迫使企业加速国产化替代，需将OA、研发环境等200台异构主机（190+ VMware虚拟机+10台物理机）从VMware迁移至ZStack云平台，同时保障业务运行不受影响。\n\n方案：采用HyperMotion云迁移，无代理模式迁移190+ VMware虚拟机，轻量化代理迁移10台物理机；基于与ZStack云平台的自动化对接，实现目标端存储\u002F计算资源一键编排，减少人力投入；迁移前无限次仿真演练，大幅提升成功率。\n\n收益：实现200台主机100%成功率平滑上云，单个业务系统割接时间缩短至20分钟内，整体迁移效率提升80%以上；通过无限次演练降低出错成本，整体迁移TCO（总拥有成本）优化超90%，获得“稳、快、省”的国产化替代效果。\n\n","top-domestic-game-hypermotion-helps-improve-efficiency-by-80-to-fully-replace-vmware-and-migrate-to-zstack-cloud","VMware国产替代$$VMware迁移到ZStack Cloud,无代理热迁移$$业务无侵入、零中断,迁移TCO优化$$整体迁移成本降90%+","\u002Ffile\u002F2\u002F2025\u002F8\u002F6947461467fd.png?i=8883&name=小图.png","\u002Ffile\u002F2\u002F2025\u002F8\u002Fcebd426549e1.png?i=8884&name=大图.png","游戏企业,VMware迁移,VMware替代,国产化替代,ZStack,高效迁移,业务零中断,自动化迁移,批量迁移,迁移成功率,VMware无代理,迁移演练,TCO优化,成本优化","某国产TOP游戏企业因VMware政策变动与成本压力，将200台异构主机（190+ VMware虚拟机+10台物理机）从传统虚拟化环境迁移至ZStack Cloud云平台。通过HyperMotion云迁移，实现复杂环境平滑上云、80%效率提升及90%+总成本优化，为游戏行业国产化替代与复杂环境迁移提供高可靠、低风险的实战范本。","\u002Ffile\u002Fcase\u002F54\u002FTOP国产游戏:基于HyperMotion实现VMware国产替代，迁移提效80%25！.pdf","2025-08-21 12:17:24","2026-07-28 17:11:22","\u002Ffile\u002F2\u002F2025\u002F4\u002Fe4aee932c781.png?i=8652&name=云迁移横版文字反白.png","hypermotion","互联网",{"tenantId":5,"id":276,"title":277,"desc":278,"intro":279,"industryId":276,"slug":280,"productId":146,"languageId":6,"tags":281,"siteId":6,"cover":282,"coverBig":283,"seoTitle":9,"keywords":284,"description":285,"pdfurl":286,"isTop":21,"status":6,"publishedAt":9,"contentUpdatedAt":9,"sortIndex":9,"platform":6,"createdAt":287,"updatedAt":288,"languageName":15,"productName":47,"productIcon":289,"productCode":290,"industryName":291},22,"地产集团：高效公有云容灾， 解决分支结构统一数据保护难题","","挑战：某地产集团生产平台系统多样、架构复杂，业务系统分散多地，难以统一管理，且市场缺少高度自动化的云容灾工具。\n方案：HyperBDR 提供多云多场景容灾，驱动自动适配；实现海量数据跨区域容灾；运用 Boot in Cloud 技术；支持 VMware 源端无代理模式。\n收益：快速将 60 台主机等数据容灾上阿里云，满足容灾指标，为全面上云夯实基础，降本增效保障业务稳定。\n","hyperbdr-case-studies-property-dr-vmware-to-alibaba-cloud","混合云容灾$$对VMware\u002F深信服容灾,容灾上公有云$$优化成本，降低部署难度,跨区域容灾$$多分支机构统一容灾","\u002Ffile\u002F2\u002F2025\u002F4\u002F1dcc14c6dc45.png?i=8698&name=地产行业案例图.png","\u002Ffile\u002F2\u002F2025\u002F4\u002F0550fc6e1110.png?i=8665&name=地产.png","地产集团, 数字化转型, 数据安全保护, 业务连续性, 云容灾, HyperBDR云容灾, ERP, OA, 业务系统容灾, 自动化容灾, 多云多场景, 海量数据跨区域容灾, Boot in Cloud, VMware容灾","某地产集团采用HyperBDR将60台主机、120个硬盘、50TB数据从本地VMware系统容灾至阿里云，满足RTO、RPO要求，解决分支结构统一数据保护难题。​支持异构平台、跨区域容灾，采用Boot in Cloud技术，降低成本，保障业务连续性。","\u002Ffile\u002Fcase\u002F22\u002F地产集团：高效公有云容灾， 解决分支结构统一数据保护难题.pdf","2022-12-19 16:49:50","2026-08-02 18:32:32","\u002Ffile\u002F2\u002F2025\u002F4\u002F6f0a8978d60a.png?i=8654&name=云容灾横版文字反白.png","hyperbdr","地产",{"tenantId":5,"id":293,"title":294,"desc":295,"intro":296,"industryId":77,"slug":297,"productId":46,"languageId":6,"tags":298,"siteId":6,"cover":299,"coverBig":300,"seoTitle":9,"keywords":301,"description":302,"pdfurl":303,"isTop":21,"status":6,"publishedAt":9,"contentUpdatedAt":9,"sortIndex":9,"platform":6,"createdAt":304,"updatedAt":305,"languageName":15,"productName":40,"productIcon":272,"productCode":273,"industryName":306},7,"某省移动：政务系统分批次自助迁移上云，显著降本增效","某市移动需要将分散运行在源端VM（约20%） 和Xen（约80%）的主机，以滚动硬件替换的方式，实现云计算平台整体升级替换为新的基于OpenStack P版的移动公有云平台。要求数据迁移期间，业务系统运行不间断。不同业务单位的迁移时间点不同，需要分批次迁移。","挑战：某省移动需将分散在源端 VM 和 Xen 的主机迁移至新的 OpenStack P 版移动公有云平台，迁移时业务系统不能中断，且不同业务单位迁移时间点不同。\n方案：采用整机热迁移和块级别差量复制；进行驱动智能适配；对接云原生 API；采用无代理模式。\n收益：业务不停机，降低安全风险；工具操作简单，1 名运维人员 12 小时完成首批 39 台主机迁移，降本增效。","hypermotion-case-studies-a-china-mobile-provincial-company","虚拟化上云$$VMware及Xen上云,无代理迁移$$无代理安装，业务零影响,自动化迁移$$Openstack自动化编排","\u002Ffile\u002F2\u002F2024\u002F12\u002F25f5b7dc0afe.jpg?i=246&name=wireless-4507617_1280.jpg","\u002Ffile\u002F2\u002F2025\u002F5\u002F551276c75e0c.png?i=8767&name=迁移运营商.png","运营商, 云计算升级, OpenStack, 公有云平台, 主机迁移, 整机热迁移,  异构平台, 云原生API对接, 无代理模式, HyperMotion云迁移, 数据迁移, 迁移效率","某省移动采用HyperMotion将分散在VMware和Xen平台的政务系统迁移至OpenStack公有云，采用无代理整机热迁移和API自动化编排，确保业务不中断。​1名运维人员12小时完成首批39台主机迁移，显著降低人力成本，提升迁移效率。","\u002Ffile\u002Fcase\u002F7\u002F某省移动：政务系统分批次自助迁移上云，显著降本增效.pdf","2021-12-13 14:57:56","2026-07-31 18:52:17","运营商",{"tenantId":5,"id":39,"title":308,"desc":309,"intro":310,"industryId":5,"slug":311,"productId":46,"languageId":6,"tags":312,"siteId":6,"cover":313,"coverBig":314,"seoTitle":9,"keywords":315,"description":316,"pdfurl":317,"isTop":21,"status":6,"publishedAt":9,"contentUpdatedAt":9,"sortIndex":9,"platform":6,"createdAt":318,"updatedAt":319,"languageName":15,"productName":40,"productIcon":272,"productCode":273,"industryName":320},"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\u002FVMware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$$多地并发，3月完成上云","\u002Ffile\u002F2\u002F2024\u002F11\u002F18b2c99fa881.jpg?i=68&name=R.jpg","\u002Ffile\u002F2\u002F2025\u002F4\u002F8a4cf34dafd5.png?i=8675&name=迁移能源.png","国家网, 私有云迁移, 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强制造企业原容灾方案自动化程度低、实施繁琐，异地跨云容灾难度大，需保持分钟级保护和恢复。\n方案：采用全自动云容灾方案；一键式编排业务资源组；实现分钟级保护与恢复；支持任意选择时间点恢复和无限量快照。\n收益：创新跨国容灾场景，实现 200 多台主机大数据量容灾，RTO 和 RPO 均达 5 分钟，降低灾备成本","hyperbdr-case-studies-a-global-500-company","Openstack容灾$$两地数据中心容灾,RTO\u003C10m$$恢复时间要求低于10分钟,优化灾备TCO$$无需1：1备用主机","\u002Ffile\u002F2\u002F2024\u002F11\u002Ff417f1791d5e.jpg","\u002Ffile\u002F2\u002F2025\u002F4\u002F5a4062831c0d.png?i=8676&name=BDR制造.png","科技行业, 跨国容灾, OpenStack云平台, Ceph存储, 异地云容灾, HyperBDR, 异地数据保护, 恢复演练, 业务连续性, RTO, RPO, 自动云容灾, 块级别容灾,跨国数据流转, OA系统, 人力资源管理系统, 财务管理系统","某全球500强制造企业采用HyperBDR实现跨区域灾难恢复，替代传统本地备份服务，提升高可用性和应用保护水平，显著降低成本，增强业务连续性和灵活性。","\u002Ffile\u002Fcase\u002F9\u002F富士康：跨地域容灾，有效降低灾备成本.pdf","2021-12-13 15:00:58","2026-08-03 15:47:51","制造",1787220170426,{"data":337,"status":22,"timestamp":439},[338,349,353,361,371,379,389,399,407,415,423,431],{"id":339,"title":340,"cover":341,"desc":342,"siteId":6,"slug":343,"typeId":344,"productId":49,"languageId":6,"status":6,"date":345,"createdAt":346,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":347,"blogTypeCode":348,"languageName":15},178,"华为联合万博智云发布AGIOne AI基础设施编排联合方案，加速金融行业迈向智能体时代","\u002Ffile\u002F2\u002F2026\u002F5\u002F94b5e399bc94.png?i=9152&name=封面图-官网.png","华为携手万博智云在HiFS 2026峰会发布基于AGIOne的AI基础设施编排联合方案，助力金融机构构建智能体银行底座。","agione_ai_infrastructure_orchestration_financial_industry",8,"2026-05-22","2026-05-22 14:25:56","新闻","news",{"id":234,"title":235,"cover":236,"desc":350,"siteId":6,"slug":237,"typeId":215,"productId":49,"languageId":6,"status":6,"date":351,"createdAt":352,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},"本文解释企业如何按应用、部门、API Key 和模型服务记录 AI 使用，如何建立价格、额度、账单、对账与结算规则，并关联 Token 消费和算力成本。","2026-08-19","2026-08-19 10:23:47",{"id":354,"title":355,"cover":356,"desc":357,"siteId":6,"slug":358,"typeId":215,"productId":49,"languageId":6,"status":6,"date":359,"createdAt":360,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},175,"2026 年模型聚合服务趋势：从多模型部署到智能治理","\u002Ffile\u002F2\u002F2026\u002F3\u002Fe0ebbe8cec10.png?i=9144&name=111.png","2023 年生成式 AI 爆发推动企业多模型部署普及，却引发接入碎片化、运维复杂、成本失控等问题，催生出模型聚合服务平台。该平台以统一 API 网关为基础，通过策略化路由、模型可观测性实现多模型智能调度与治理，还从计量、路由优化、模算联动层面实现 Token 成本精细化管控。其正从基础聚合向策略智能化、治理即代码、融合 AIOps 演进，未来将成为连接多方的模型生态操作系统。企业落地需明确层级边界、渐进式实施策略，做好成本与可观测性管理，这一从部署到治理的升级，是企业实现 AI 能力高效转化的关","2026-model-aggregation-service-trend-from-multi-model-deployment-to-intelligent-governance","2026-03-20","2026-03-20 16:01:42",{"id":362,"title":363,"cover":364,"desc":365,"siteId":6,"slug":366,"typeId":87,"productId":49,"languageId":6,"status":6,"date":367,"createdAt":368,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":369,"blogTypeCode":370,"languageName":15},181,"PowerOne 是什么：为什么企业需要 AI 基础设施编排平台，而不是 GPU 资源看板","\u002Ffile\u002F2\u002F2026\u002F6\u002F67232003b05b.png?i=9158&name=封面图.png","PowerOne 是企业 AI 基础设施的组织、交付与运营平台，帮助企业将分散 GPU\u002FXPU 和多环境算力转化为可部署、可监控、可计量的 AI 基础设施服务。","what_is_powerone_ai_infrastructure_orchestration_platform","2026-06-04","2026-06-04 13:54:04","产品介绍","products",{"id":372,"title":373,"cover":374,"desc":375,"siteId":6,"slug":376,"typeId":87,"productId":49,"languageId":6,"status":6,"date":377,"createdAt":378,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":369,"blogTypeCode":370,"languageName":15},183,"AGIOne 是什么？企业级 AI 平台的定位、架构与适用场景","\u002Ffile\u002F2\u002F2026\u002F8\u002F92824e5effe7.png?i=9169&name=知乎图.png","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。","what_is_agione_enterprise_ai_platform","2026-08-04","2026-08-04 17:33:37",{"id":380,"title":381,"cover":382,"desc":383,"siteId":6,"slug":384,"typeId":385,"productId":49,"languageId":6,"status":6,"date":386,"createdAt":387,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":86,"blogTypeCode":388,"languageName":15},176,"连Token 都有了中文名，企业 CIO 却还是最后一个知道公司在AI上花了多少钱？","\u002Ffile\u002F2\u002F2026\u002F3\u002Fbaf17694f843.jpg?i=9146&name=未标题-1.jpg","企业 AI 规模化应用下，影子 AI 扩散、成本失控、技术债高筑等问题凸显，单一模型时代已落幕。ModelOne 企业级多模型管理平台，以统一 API、全链路成本观测、智能调度等能力，让 AI 从粗放走向可控，助力企业低成本、安全地实现 AI 规模化落地。","even-token-have-chinese-name-enterprise-cio-last-know-ai-spending",21,"2026-03-27","2026-03-26 17:30:05","solutions",{"id":390,"title":391,"cover":392,"desc":393,"siteId":6,"slug":394,"typeId":395,"productId":49,"languageId":6,"status":6,"date":367,"createdAt":396,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":397,"blogTypeCode":398,"languageName":15},180,"企业如何建立模型服务计量体系：从 Token 统计到成本归因和内部结算","\u002Ffile\u002F2\u002F2026\u002F6\u002F20e4e5f68951.png?i=9157&name=封面图.png","模型服务计量体系帮助企业将 Token 消耗、API Key、配额、账单和成本归因纳入统一运营框架。了解 ModelOne 如何支撑模型服务计量与运营分析。","enterprise_model_service_metering_system",24,"2026-06-04 11:35:18","最佳实践","best-practice",{"id":400,"title":401,"cover":402,"desc":403,"siteId":6,"slug":404,"typeId":215,"productId":49,"languageId":6,"status":6,"date":405,"createdAt":406,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},177,"企业CIO必读：2026年模型聚合服务五大趋势与AGIONE解决方案","\u002Ffile\u002F2\u002F2026\u002F4\u002Ff31a70d35b9d.png?i=9149&name=配图.png","对于任何一位企业CIO、CTO或技术决策者而言，2026年的AI应用格局已不再是“是否使用大模型”，而是“如何高效、经济、安全地驾驭一个由数十甚至上百个模型构成的复杂生态系统”。","model_aggregation_service_trends_2026","2026-04-23","2026-04-23 11:15:20",{"id":408,"title":409,"cover":410,"desc":411,"siteId":6,"slug":412,"typeId":215,"productId":49,"languageId":6,"status":6,"date":413,"createdAt":414,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},179,"AI API Gateway是什么？为什么企业开始从API中转走向多模型治理","\u002Ffile\u002F2\u002F2026\u002F5\u002Fa9c66f9ed2df.png?i=9156&name=文章封面图_官网.png","企业AI正在从\"模型接入\"进入\"模型运营\"阶段过去两年，企业部署大模型的重点正在发生明显变化。在 AI 应用早期阶段，很多企业首先解决的是\"模型接入\"问题。企业希望快速验证 AI 是否能够真正提升业务效率，因此更关注如何快速接入 OpenAI、Claude、Gemini 等模型，如何统一不同模型 API，以及如何降低开发团队的适配成本。在这样的背景下，API 中转、模型聚合以及统一调用入口快速兴起。这些工具在 AI 早期阶段确实发挥了重要作用。它们降低了模型接入门槛，也让很多团队第一次真正开始使","enterprise_ai_model_operation_ai_api_gateway","2026-05-28","2026-05-27 14:48:20",{"id":416,"title":417,"cover":418,"desc":419,"siteId":6,"slug":420,"typeId":215,"productId":49,"languageId":6,"status":6,"date":421,"createdAt":422,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},186,"什么是 AI Runtime Governance？企业如何统一管理模型、权限、成本与服务","\u002Ffile\u002F2\u002F2026\u002F8\u002F123797547ea8.png?i=9211&name=封面图.png","本文解释 AI Runtime Governance 的治理对象、生命周期和能力边界，并说明 AGIOne 如何通过 ModelOne、PowerOne 与公共治理域协同管理模型服务、运行资源、权限、计量和账务。","ai_runtime_governance","2026-08-17","2026-08-17 11:08:23",{"id":424,"title":425,"cover":426,"desc":427,"siteId":6,"slug":428,"typeId":215,"productId":49,"languageId":6,"status":6,"date":429,"createdAt":430,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},182,"AI FinOps：企业如何统一管理 Token 成本与 GPU 成本？","\u002Ffile\u002F2\u002F2026\u002F8\u002F6414e88af682.png?i=7892&name=封面图.png","企业 AI 成本管理正从 Token 用量统计走向涵盖模型消费、GPU\u002FNPU 算力、成本归属、预算和内部结算的运营体系。本文梳理 AI FinOps 的五个连续环节，并说明 AGIOne 如何将 ModelOne 与 PowerOne 的跨层数据汇总为可追溯的业务运营视图。","ai_finops_token_gpu_cost_management","2026-07-30","2026-08-03 09:51:09",{"id":432,"title":433,"cover":434,"desc":435,"siteId":6,"slug":436,"typeId":215,"productId":49,"languageId":6,"status":6,"date":437,"createdAt":438,"productName":227,"productCode":227,"productIcon":228,"blogTypeName":229,"blogTypeCode":238,"languageName":15},184,"企业 AI 平台与 AI API Gateway 有什么区别？","\u002Ffile\u002F2\u002F2026\u002F8\u002Faa2f013a4ca4.png?i=9170&name=封面图.png","AI API Gateway 主要解决模型接口的统一接入、转发与调用控制；企业 AI 平台则进一步覆盖模型服务、异构算力、身份权限、计量账单和持续运营。本文从能力边界和企业复杂度出发，给出两者的差异与选型框架。","enterprise_ai_platform_vs_ai_api_gateway","2026-08-12","2026-08-12 18:16:21",1787220170466,1787220170171]