[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio2380bb86":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},"dcio2380bb86","美股 SanDisk真正开始爆发是2025年，AI 进入数据密集型落地阶段！","\u002Fdoc\u002Fdcio2380bb86","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>人工智能在 2023 年到 2024 年期间已经迎来了第一轮爆发，但当时的增长动能主要集中在算力和网络领域，而非存储。SanDisk 美股代号 SNDK的真正爆发点是在 2025 年之后，随着人工智能进入数据密集型落地阶段才正式开启。\u003C\u002Fp>\u003Cfigure class=\"image\" data-img-size-val=\"920,711\">\u003Cimg style=\"aspect-ratio:920\u002F711;\" src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20260129\u002Fv2_41efaeb958da47c59eb8c5ddd51d8c80@5576020_oswg72809oswg920oswg711_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\" width=\"920\" height=\"711\">\u003C\u002Ffigure>\u003Cp>\u003Cstrong>核心误区&nbsp;\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>人工智能爆发并不等于存储立刻爆发\u003C\u002Fp>\u003Cp>很多人直觉上认为人工智能意味着海量数据，进而推断存储需求会立刻迎来爆发。但现实中，人工智能基础设施的投资顺序非常明确。\u003C\u002Fp>\u003Cp>人工智能资本支出的真实顺序是算力先行，主要涵盖 GPU、HBM 和服务器；接着是网络跟上，包括光模块和光网络；最后才是存储滞后，涉及企业级 SSD 和数据湖。在 2023 年到 2024 年期间，市场资金几乎全部投向了英伟达以及光通信领域。\u003C\u002Fp>\u003Cp>\u003Cstrong>为什么 2025 年之前 SNDK 没有起飞\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>首先，人工智能初期对固态硬盘的消耗并不大。在训练阶段，数据集相对固定，呈现一次加载、多次计算的特点。此时高带宽内存 HBM 的重要性远超存储容量，存储并非性能瓶颈，HBM 才是关键。\u003C\u002Fp>\u003Cp>其次，美股投资网调研发现，企业级固态硬盘市场在 2023 年到 2024 年处于逆风局。SanDisk 在那两年踩到了三重压力。一是闪存价格的大周期下行，由于闪存供过于求导致平均售价暴跌，出现出货量增长但收入不涨的局面。二是云厂商去库存，亚马逊、微软和谷歌等巨头优先消化旧库存，并不急于采购新品。三是人工智能投资高度集中，资金被 GPU 和网络设备占用，导致存储预算被延后。虽然需求存在，但采购处于冻结状态。\u003C\u002Fp>\u003Cp>\u003Cstrong>为什么 2025 年突然轮到 SanDisk 了\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>关键拐点在于，随着人工智能工作负载的真正落地，加上新一代企业级固态硬盘的推出，企业级固态硬盘已经从概念变成了 SanDisk 可量化且能显著增厚利润的增长引擎。\u003C\u002Fp>\u003Cfigure class=\"image\" data-img-size-val=\"740,532\">\u003Cimg style=\"aspect-ratio:740\u002F532;\" src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20260129\u002Fv2_6f68836ef2064c15a54f5020f0090b7f@5576020_oswg392607oswg740oswg532_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\" width=\"740\" height=\"532\">\u003C\u002Ffigure>\u003Cp>\u003Cstrong>2025 年之后人工智能为什么开始大量消耗存储\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>我们美股投资网认为有以下三个因素：\u003C\u002Fp>\u003Cp>\u003Cstrong>第一，人工智能从训练进入推理与应用阶段。\u003C\u002Fstrong>2025 年开始，检索增强生成、企业私有模型以及实时推理产生的大量日志和用户行为数据，使得模型不再仅仅是计算，而是需要不断读写数据。这一转变对固态硬盘产生了质的影响。\u003C\u002Fp>\u003Cp>\u003Cstrong>第二，数据开始爆炸式积累。\u003C\u002Fstrong>人工智能生成的数据量已经超过人类生成的数据，中间结果、嵌入向量以及向量数据库都需要低延迟和高频访问。这使得企业级 NVMe 固态硬盘成为了刚需。\u003C\u002Fp>\u003Cp>\u003Cstrong>第三，SanDisk 正好处于正确的产品周期。\u003C\u002Fstrong>SanDisk 的变化不仅是需求回暖，更是因为它推出了面向人工智能服务器和存储层的高性能企业级 NVMe 固态硬盘。这类产品的平均售价和毛利率都明显高于消费级产品，这种高质量增长并非单纯依靠价格反弹。\u003C\u002Fp>\u003Cp>\u003Cstrong>为什么是 SanDisk&nbsp;\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>SanDisk 拥有独特的位置，其企业级固态硬盘的比重持续提升，客户结构偏向云服务商和企业级人工智能领域。它不再仅仅是一家消费级闪存公司，因此市场开始赋予它人工智能存储的估值溢价。\u003C\u002Fp>\u003Cp>\u003Cstrong>总结\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>美股大数据 网站 StockWe.com&nbsp;\u003C\u002Fstrong>获悉，人工智能在 2023 年到 2024 年点燃了算力和网络，但真正大量消耗存储的阶段要到 2025 年之后才开始。随着人工智能从训练走向推理和企业级落地，企业级固态硬盘从配角转为核心基础设施，SanDisk 也终于迎来了属于自己的顺周期拐点。\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202601-stk\u002FUploaderhnhd42ekh0t_2026_01_28_17_15_39.jpg","2026-01-29T00:59:33.93","2026.01.29","2026\u002F01\u002F29",49987,[22],"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":28,"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},[22],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":31,"services":32,"recentDocuments":41},"\u003Cfigure class=\"image\">\u003Ca href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\" target=\"_blank\" 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href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\">案例介绍：英伟达深度研究报告\u003C\u002Fa>\u003C\u002Fh2>\u003C\u002Fdiv>",[33,37],{"productId":34,"serviceName":35,"priceText":36},"prod_PPxdDdK87QaiLv","月付","$12.95美元",{"productId":38,"serviceName":39,"priceText":40},"prod_PPxeMs3bix1da5","年付","$149.00美元",[],{"links":43,"images":68,"summaryHtml":73,"aboutTitle":74,"aboutHtml":75,"copyrightHtml":76},[44,47,50,53,56,59,62,65],{"label":45,"url":46},"深度报告","\u002Fcol\u002FdepthReport",{"label":48,"url":49},"VIP会员","\u002Fplan",{"label":51,"url":52},"期权推荐","\u002FOption",{"label":54,"url":55},"低价暴涨股","\u002FPenny",{"label":57,"url":58},"常见问题","https:\u002F\u002Fstockwe.com\u002FFAQ",{"label":60,"url":61},"美股课程","\u002Fcol\u002Fvideos",{"label":63,"url":64},"免责声明","\u002Fdisclaimer",{"label":66,"url":67},"联系我们","\u002FContactUs",[69,70,71,72],"https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploaderzic2tuwsol2_2025_09_11_18_21_07.gif","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploadercakzdvydksw_2025_09_03_09_00_56.png","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploadergtjyagwvoyk_2025_09_14_08_32_05.png","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploader3u0tt4jhlqh_2025_09_23_22_30_48.png","邮箱: buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 StockWe.com 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理千万级股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，精准买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":78,"search":79,"searchPlaceholder":79,"hotContent":80,"draft":81,"noData":82,"searchNoData":83,"edit":84,"editVideo":85,"courseContent":86,"more":87,"buyNow":88,"subscribeNow":89,"encoding":90,"paidContent":91},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]