[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fyIzSwobzpP3Z7sWqOyK0wnXY_DqDnCA3INM3KkBB1ds":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1173,"​DeepSeek关联公司 发布大语言模型创新部署专利，推动 AI 技术新发展","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">近日，DeepSeek 的关联公司 —— 杭州深度求索人工智能基础技术研究有限公司，公开了一项名为 “一种大语言模型的部署方法及系统” 的专利。这项专利的公布，标志着该公司在人工智能领域的又一重要进展，尤其是在大语言模型的部署方面。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">根据专利的摘要，该发明主要涉及到人工智能的核心技术。其创新之处在于将大语言模型的两个关键阶段 —— 预填充阶段和解码阶段，分别部署在高性能计算能力和大内存的机器上。这种分布式的部署方式能够有效均衡负载任务，最大限度地利用硬件资源。通过减少闲置的计算能力，该方法不仅降低了整体的延迟，还显著提高了系统的吞吐量。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">在当前的 AI 技术发展中，系统的扩展性和容错性显得尤为重要。DeepSeek 的这一专利，正是通过优化资源配置，增强了系统在面对不同工作负载时的适应能力。这种创新部署方法，预示着未来的 AI 模型将更高效、更智能，有望为各类应用场景提供更好的支持。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">值得一提的是，DeepSeek-V3作为该公司的核心产品之一，其强大的 Mixture-of-Experts （MoE） 语言模型，拥有671B 个参数，每个 token 的激活参数达到37B。这一技术的进步，无疑将推动 AI 技术的普及和应用，助力各行各业的数字化转型。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】 \u003C\u002Fspan>\u003Cspan style=\"font-size: 14px; color: rgb(187, 187, 187);\">AIbase基地 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20170\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20170\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002F767f7f8c784842788d7d41e1a100bb62\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002F767f7f8c784842788d7d41e1a100bb62\u002FAI领域.jpg",0,1,216,"2025-08-01 18:11",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ab0ba60a7-21e0-4824-9ca6-505e77ab941e%3A0.wav?Expires=1754047231&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=KCqaZkRSFjiZJr61Pf%2ByDfDaqbY%3D",2914652,"b0ba60a7-21e0-4824-9ca6-505e77ab941e","2025-08-01 18:10","DeepSeek affiliated company publishes a patent for large language model innovative deployment, promoting new developments in AI technology","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Recently, DeepSeek's affiliated company - Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., publicly disclosed a patent titled \"A Deployment Method and System for a Large Language Model.\" The release of this patent marks another important advancement by the company in the field of artificial intelligence, especially in the deployment of large language models.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">According to the summary of the patent, this invention mainly involves core technologies in artificial intelligence. Its innovation lies in deploying two key stages of a large language model - the pre-filling stage and the decoding stage - on machines with high-performance computing capabilities and large memory. This distributed deployment method can effectively balance the load tasks and maximize the use of hardware resources. By reducing idle computing capacity, this method not only reduces overall latency but also significantly improves system throughput.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In the current development of AI technology, system scalability and fault tolerance have become particularly important. DeepSeek's patent is enhancing the system's adaptability when facing different workloads through optimized resource allocation. This innovative deployment method indicates that future AI models will be more efficient and intelligent, and are expected to provide better support for various application scenarios.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">It is worth noting that DeepSeek-V3, one of the company's core products, has a powerful Mixture-of-Experts (MoE) language model with 671B parameters, and each token has an activation parameter of 37B. This technological advancement will undoubtedly promote the popularization and application of AI technology, helping various industries achieve digital transformation.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【News source】 \u003C\u002Fspan>\u003Cspan style=\"font-size: 14px; color: rgb(187, 187, 187);\">AIbase base \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20170\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20170\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this website to provide readers with more information. The content does not constitute investment or consumption advice. If there are any questions about the facts of the article, please verify with the relevant parties. The views of the article are not the views of this website and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Ac9edc649-7ba2-484d-b427-2c30ab9279a7%3A0.wav?Expires=1774838505&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=C7GGLWWK5pOLsLSR%2BFi0jpudNgA%3D","c9edc649-7ba2-484d-b427-2c30ab9279a7",3849792]