[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio5c956668":3},{"user":4,"document":8,"mainDocument":30,"columnUrl":32,"subscription":33,"footer":45,"text":80},{"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":26,"videoId":6,"liveVideoUrl":6,"duration":27,"price":27,"priceText":28,"priceBadgeText":28,"priceBadgeClass":29,"freeForMinGroupLevel":27,"redirectUrl":6,"readyToStream":5},"dcio5c956668","美股存储芯片股为何今日重挫？","\u002Fdoc\u002Fdcio5c956668","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>周三美股盘中，存储芯片板块遭遇显著回调。西部数据（WDC）和美光科技（MU）均跌超4%，希捷科技（STX）跌幅超5%。\u003C\u002Fp>\u003Cp>\u003Cstrong>引发这一轮集体走弱的直接原因，是谷歌刚刚发布了一项名为TurboQuant的新型AI内存压缩技术，引发了市场对存储硬件中长期需求前景的担忧。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>要理解为什么一个“软件算法”的进步会吓坏“卖硬件”的公司，我们得先搞清楚大模型运行时最占资源的地方——键值缓存（KV Cache）。\u003C\u002Fp>\u003Cp>当你在和AI对话，或者让它处理长文章时，为了记住前面的内容（上下文），AI必须在内存里实时暂存大量数据。这就像一个人为了记住长篇大论，脑子里得塞满临时的笔记。这些“临时笔记”不仅极其占用昂贵的存储空间，还拖慢了AI的反应速度，限制了它能同时服务多少人。\u003C\u002Fp>\u003Cp>谷歌推出的TurboQuant技术，正是为了精准攻克这一硬件痛点。根据公开测试数据，该技术能够在完全不损失大模型准确性、且无需重新训练的前提下，\u003Cstrong>将键值缓存直接压缩至原先的六分之一。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>同时，在英伟达H100加速器上，处理性能最高提升了8倍。\u003C\u002Fstrong>这意味着，原本需要大量高昂内存硬件才能支撑的长上下文推理运算，现在通过底层数据结构的“瘦身”，用极少的内存空间就能高效完成。\u003C\u002Fp>\u003Cfigure class=\"image\" data-img-size-val=\"1080,626\">\u003Cimg style=\"aspect-ratio:1080\u002F626;\" src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20260326\u002Fv2_50c36212e2934f6ea0b75ad40c2091df@5576020_oswg84561oswg1080oswg626_img_000\" alt=\"TurboQuant: Redefining AI efficiency with extreme compression\" width=\"1080\" height=\"626\">\u003C\u002Ffigure>\u003Cp>面对这种“以软代硬”的技术跨越，资本市场的第一反应往往是高度防御性的。既然单张显卡的内存吞吐效率被成倍放大，市场自然会推演：各大云服务商和企业客户未来对存储芯片的物理采购总量，是否会因此出现断崖式下滑？\u003C\u002Fp>\u003Cp>\u003Cstrong>叠加存储板块今年以来已经累积了较为可观的涨幅，整体估值处于相对高位。\u003C\u002Fstrong>在当前容错率极低的市场环境下，任何可能削减底层硬件采购量的边际技术进展，都足以促使机构资金选择提前获利了结。\u003C\u002Fp>\u003Cp>尽管投行如摩根士丹利随后指出，这种效率提升主要集中在推理阶段的缓存压缩，并不影响模型权重所需的高带宽内存（HBM）。且从长远经济学角度看，这可能触发“杰文斯悖论”：AI运行成本的大幅降低将使规模化部署门槛骤降，进而激活更多应用场景，最终反而推升硬件总需求。\u003C\u002Fp>\u003Cp>但对于当下的盘面而言，远期的产业推演往往让位于短期的“削减需求”恐慌，高估值叠加新技术冲击，共同构成了今天存储股集体下挫的核心逻辑。\u003C\u002Fp>","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202603-stk\u002FUploader1beud2nl02d_2026_03_25_22_18_59.jpg","2026-03-26T05:16:32.18","2026.03.26","2026\u002F03\u002F26",30803,[22,23,24,25],"MU","WDC","STX","SNDK","Article",0,"免费","success",{"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":31,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":26,"videoId":6,"liveVideoUrl":6,"duration":27,"price":27,"priceText":28,"priceBadgeText":28,"priceBadgeClass":29,"freeForMinGroupLevel":27,"redirectUrl":6,"readyToStream":5},[22,23,24,25],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":34,"services":35,"recentDocuments":44},"\u003Cfigure 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