[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio1b957ac0":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":77},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio1b957ac0","谷歌(GOOG,GOOGL)公布新算法旨在降低内存占用-存储概念股应声下跌-闪迪(SNDK)一度跌8%","\u002Fdoc\u002Fdcio1b957ac0","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。谷歌(GOOG,GOOGL)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">谷歌此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩效率，解决高维数据处理带来的内存负担；Johnson-Lindenstrauss变换则通过数学降维技术，在保持数据关系不变的前提下大幅缩减数据规模，实现“零额外内存开销”的高效表达；PolarQuant则利用极坐标映射，将数据投射到固定结构中，从而跳过传统数据归一化步骤，进一步降低资源消耗。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">美股投资网获悉，谷歌研究科学家Amir Zandieh与公司副总裁兼资深研究员Vahab Mirrokni表示，随着AI在大语言模型与语义搜索等场景中的广泛应用，底层向量量化技术的重要性将持续提升。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">受此消息影响，存储与硬盘相关公司股价在周三早盘普遍下跌。美光科技(MU)股价一度下跌约4%，西部数据(WDC)一度下跌约4.4%，希捷科技(STX)一度下跌约5.6%，而闪迪(SNDK)跌幅一度达8%。市场担忧，若AI模型对内存依赖下降，可能削弱对存储芯片与硬盘产品的长期需求。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">与此同时，闪迪还宣布已与半导体公司Nanya 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