[{"data":1,"prerenderedAt":174},["ShallowReactive",2],{"cms:global:en-US":3,"case-detail-en-qingyun-tech-huawei-kunpeng-atlas-300i-duo-llm-test-report":153,"cms:website-seo:20":170},{"basic":4,"theme":8,"seo":9,"footer":10,"social":15,"headerItems":19,"footerItems":58,"policyItems":146,"logoUrl":7},{"siteName":5,"tagline":6,"logoUrl":7,"faviconUrl":6},"广东倾云科技有限公司","","https:\u002F\u002Fwww.qingyunclouds.com\u002Fapi\u002Fpublic\u002Fassets\u002F1\u002Ffile",{"primaryColor":6,"accentColor":6},{"title":6,"description":6,"keywords":6,"canonical":6,"robots":6,"ogImageUrl":6},{"description":11,"heroDescription":11,"copyright":12,"contactHeading":13,"showLanguageSwitcher":14,"showBackToTop":14},"A technology R&D and service-oriented enterprise with the core of \"AI+Internet\", focusing on AI scenario transformation, software system construction and network infrastructure.","© CopyRight 2026 广东倾云科技有限公司 版权所有","Cooperation",true,{"website":16,"email":6,"phone":6,"address":17,"postalCode":18},"https:\u002F\u002Fwww.qingyunclouds.com\u002F","Room 717, 7th Floor, Torch Building, Zhongshan Port Street, Zhongshan City, Guangdong Province, China","508400",[20,28,34,40,46,52],{"id":21,"label":22,"kind":23,"openInNewWindow":24,"target":25,"children":27},"d6ba614a-7d89-4c43-a8ce-1d36866f59bf","Home","external_url",false,{"url":26},"\u002F",[],{"id":29,"label":30,"kind":23,"openInNewWindow":24,"target":31,"children":33},"nav-about","Abouts Us",{"url":32},"\u002Fabout",[],{"id":35,"label":36,"kind":23,"openInNewWindow":24,"target":37,"children":39},"nav-news","News",{"url":38},"\u002Fnews",[],{"id":41,"label":42,"kind":23,"openInNewWindow":24,"target":43,"children":45},"nav-cases","Case Center",{"url":44},"\u002Fcases",[],{"id":47,"label":48,"kind":23,"openInNewWindow":24,"target":49,"children":51},"nav-join","Careers",{"url":50},"\u002Fjoin",[],{"id":53,"label":54,"kind":23,"openInNewWindow":24,"target":55,"children":57},"nav-contact","Contact Us",{"url":56},"\u002Fcontact",[],[59,91,122],{"id":60,"label":61,"kind":62,"openInNewWindow":24,"target":63,"children":64},"footer-solutions","Solution","group",{},[65,71,76,81,86],{"id":66,"label":67,"kind":23,"openInNewWindow":24,"target":68,"children":70},"footer-retail","Smart Retail",{"url":69},"\u002F#solutions",[],{"id":72,"label":73,"kind":23,"openInNewWindow":24,"target":74,"children":75},"footer-office","Smart Office",{"url":69},[],{"id":77,"label":78,"kind":23,"openInNewWindow":24,"target":79,"children":80},"footer-city","Smart City",{"url":69},[],{"id":82,"label":83,"kind":23,"openInNewWindow":24,"target":84,"children":85},"footer-consumer","Intelligent C-end",{"url":69},[],{"id":87,"label":88,"kind":23,"openInNewWindow":24,"target":89,"children":90},"footer-tobacco","Digitalization of the tobacco industry",{"url":69},[],{"id":92,"label":93,"kind":62,"openInNewWindow":24,"target":94,"children":95},"footer-products","Products and Services",{},[96,101,106,111,117],{"id":97,"label":98,"kind":23,"openInNewWindow":24,"target":99,"children":100},"footer-llm","Development of Large Model Applications",{"url":69},[],{"id":102,"label":103,"kind":23,"openInNewWindow":24,"target":104,"children":105},"footer-ai","AI solution customization",{"url":69},[],{"id":107,"label":108,"kind":23,"openInNewWindow":24,"target":109,"children":110},"footer-software","Industry software customization",{"url":69},[],{"id":112,"label":113,"kind":23,"openInNewWindow":14,"target":114,"children":116},"footer-video","Video Creation Platform",{"url":115},"https:\u002F\u002Fwww.xuyingai.com\u002F",[],{"id":118,"label":119,"kind":23,"openInNewWindow":24,"target":120,"children":121},"footer-compute","Computing power server",{"url":69},[],{"id":123,"label":124,"kind":62,"openInNewWindow":24,"target":125,"children":126},"footer-company","Join us",{},[127,133,138,142],{"id":128,"label":129,"kind":23,"openInNewWindow":24,"target":130,"children":132},"footer-about","Company Profile",{"url":131},"\u002F#about",[],{"id":134,"label":135,"kind":23,"openInNewWindow":24,"target":136,"children":137},"footer-cases","Customer Case",{"url":44},[],{"id":139,"label":36,"kind":23,"openInNewWindow":24,"target":140,"children":141},"footer-news",{"url":38},[],{"id":143,"label":48,"kind":23,"openInNewWindow":24,"target":144,"children":145},"footer-join",{"url":50},[],[147],{"id":148,"label":149,"kind":23,"openInNewWindow":14,"target":150,"children":152},"5401443a-f196-4ff4-a970-5f6b79b6ae79","粤ICP备2021127448号",{"url":151},"https:\u002F\u002Fbeian.miit.gov.cn\u002F#\u002FIntegrated\u002Findex",[],{"id":154,"slug":155,"path":156,"title":157,"description":158,"date":159,"category":160,"cover":161,"client":6,"period":6,"tags":162,"metrics":163,"body":164,"seo":165,"relatedCases":169},4,"qingyun-tech-huawei-kunpeng-atlas-300i-duo-llm-test-report","\u002Fcases\u002Fqingyun-tech-huawei-kunpeng-atlas-300i-duo-llm-test-report","倾云科技关于华为鲲鹏+Atlas 300I Duo算力服务器大模型部署兼容性测试简报","倾云科技针对华为鲲鹏+Atlas 300I Duo算力服务器开展的大模型部署兼容性测试简报。测试涵盖硬件环境参数、多款大模型（如 Qwen 系列等）在国产硬件架构下的适配验证与推理运行测试，展示了倾云科技在国产私有化算力生态建设与技术落地上的软硬件调优实力。","2026-05-08T09:57:56.296+08:00","公司案例","https:\u002F\u002Fwww.qingyunclouds.com\u002Fapi\u002Fpublic\u002Fassets\u002F164\u002Ffile",[],[],"\u003Cp style=\"text-align: center\">\u003Cstrong>前言\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp style=\"text-align: center\">\u003Cbr>\u003C\u002Fp>\u003Cp>    为验证华为国产化算力服务器在大模型及AI应用场景下的部署适配能力，我司近期基于华为鲲鹏服务器整机环境，围绕底层基座、国产数据库、多款通义系列大模型及行业智能体训练，开展了系统性部署运行测试。测试环境严格采用本地化部署方式，重点关注软硬件兼容性、服务稳定性及运行资源表现，现将成果报告如下。\u003C\u002Fp>\u003Cp>\u003Cstrong>报告正文：\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>一、测试硬件整体配置信息\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>    本次大模型部署测试全程依托华为自研国产化算力服务器开展，整机硬件配置完整合规，满足AI模型本地化部署、后台稳定常驻运行全流程基础算力支撑需求，无硬件资源短板、无适配硬件冲突问题。\u003C\u002Fp>\u003Cp>\u003Cstrong>测试硬件底座：\u003C\u002Fstrong>华为鲲鹏国产服务器（整机 1 台）整机核心硬件一览：\u003C\u002Fp>\u003Cp>\u003Cstrong>· CPU：\u003C\u002Fstrong>2 颗 鲲鹏 920 处理器（48 核 @2.6GHz）\u003C\u002Fp>\u003Cp>\u003Cstrong>· 内存：\u003C\u002Fstrong>16 条 32GB DDR4 3200MHz ECC 内存\u003C\u002Fp>\u003Cp>\u003Cstrong>· 存储：\u003C\u002Fstrong>2 块 480G 系统 SSD + 2 块 960G 数据 SSD\u003C\u002Fp>\u003Cp>\u003Cstrong>· 算力加速：\u003C\u002Fstrong>2 张 Atlas 300I Duo AI 推理加速卡\u003C\u002Fp>\u003Cp>\u003Cstrong>· 配套：\u003C\u002Fstrong>华为原厂 RAID 卡、双白金冗余电源、国产网卡等全套组件\u003C\u002Fp>\u003Cp>\u003Cstrong>二、现场部署实测核心成果汇总表\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>核心工作：\u003C\u002Fstrong>完成环境适配、软件安装、模型上机部署、后台服务拉起核验；\u003C\u002Fp>\u003Cp>\u003Cstrong>核心结论：\u003C\u002Fstrong>全部正常运行，无报错、无兼容故障。\u003C\u002Fp>\u003Cp>\u003Cstrong>算力服务器图例如下：\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp style=\"text-align: center\">\u003Cimg src=\"https:\u002F\u002Fwww.qingyunclouds.com\u002Fapi\u002Fpublic\u002Fassets\u002F163\u002Ffile\" alt=\"01.png\">\u003C\u002Fp>\u003Cp style=\"text-align: center\">\u003Cimg src=\"https:\u002F\u002Fwww.qingyunclouds.com\u002Fapi\u002Fpublic\u002Fassets\u002F162\u002Ffile\" alt=\"02.png\">\u003C\u002Fp>\u003Cp>\u003Cstrong>三、整体测试工作总结\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>     本次工作已在华为国产化算力服务器上，顺利完成全部底层基座、国产数据库、多款通义系列AI大模型的标准化上机部署适配工作。整机硬件算力匹配度良好，软硬件无兼容冲突，所有项目均可稳定后台运行，圆满完成本次阶段性部署测试任务，已筑牢国产化AI算力运行底座，可直接开展后续深度性能测试、业务场景对接等进阶工作。\u003C\u002Fp>\u003Cp>     综上我司将持续推进国产化技术路线验证与落地，为行业智能化升级提供坚实可靠的技术保障。\u003C\u002Fp>\u003Cp>\u003Cstrong>本报告仅供内部参考及技术交流使用。\u003C\u002Fstrong>\u003C\u002Fp>",{"metaTitle":157,"metaDescription":166,"canonical":167,"robots":168,"ogImage":-1},"倾云科技发布华为鲲鹏+Atlas 300I Duo算力服务器大模型部署兼容性测试简报。针对企业私有化部署大模型需求，评估多款主流大模型在国产化算力硬件上的适配表现、运行稳定性与推理性能。","https:\u002F\u002Fwww.qingyunclouds.com\u002Fcaces\u002Fqingyun-tech-huawei-kunpeng-atlas-300i-duo-llm-test-report","index, follow",[],{"siteOrigin":171,"automaticCanonical":14,"managedOrigins":172},"https:\u002F\u002Fwww.qingyunclouds.com",[173],"https:\u002F\u002Fwww.gdqycloud.com",1794301314537]