[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio192c3038":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"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":23,"videoId":6,"liveVideoUrl":6,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio192c3038","Piper-Sandler首次覆盖AI芯片板块：英伟达(NVDA)、博通(AVGO)为“首选”，预计2030年算力市场规模将达2.2万亿美元","\u002Fdoc\u002Fdcio192c3038","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\n\u003C\u002Fp>\u003Cp>\u003Cspan>美股投资网获悉，Piper Sandler发表研报，首次覆盖人工智能(AI)芯片及半导体板块。该行对七只主要半导体股启动评级，其中AMD(AMD)、Arm(ARM)、博通(AVGO)、迈威尔科技(MRVL)和英伟达(NVDA)获“增持”评级，英特尔(INTC)和高通(QCOM)获“中性”评级。该行指出，博通和英伟达被列为其AI加速器领域的“首选”，而AMD和Arm则因在服务器CPU领域夺取份额而受到重点关注。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>在目标价方面，Piper Sandler给予AMD 600美元、Arm 320美元、博通460美元、英特尔110美元、迈威尔科技270美元、英伟达300美元、高通190美元。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>分析师David O'Connor和Zackary Altman在报告中表示，算力可谓是AI发展的核心基石，随着智能体AI的落地爆发，AI行业正迫切需要更多算力支撑。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>该行指出，2027年产能已经售罄，2028年订单簿也已排满。Piper Sandler预计，到2030年算力市场规模将达到2.2万亿美元，其中加速器市场为2万亿美元，CPU市场为2000亿美元;这意味着算力市场到2030年将扩大约5倍，并推动算力产业链营收扩张，转化为该组股票平均约45%的每股收益复合年增长率。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>该行认为，这些公司是超大规模云厂商和新云厂商建设中最重要参与者。报告还指出，当前算力稀缺在新云厂商的GPU小时定价中清晰可见。Silicon Data的H100定价指数显示，英伟达H100 GPU每小时价格为2.60美元，而12月为2.00美元，即OpenClaw出现之前。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>报告还提到，2025年2月也曾因DeepSeek部署带来的需求增强而出现需求激增;算力成本下降会进一步拉动使用量，反过来继续推高算力需求。Piper Sandler强调，需要注意，英伟达早在2022年第四季度就已量产H100，也就是说这款芯片距今技术迭代已近4年。此外，组件成本也在上升，从而推高硬件厂商收入;该行发现，GPU芯片成本在过去两代产品中已从30%升至40%。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>个股层面，O'Connor称英伟达为“AI算力的绝对领导者，拥有80%市场份额”。他表示，今年智能体AI工作负载的爆发带来了需求阶跃式变化，供应可能在未来两到三年保持紧张，并称该股以约14倍2028财年预期估值计算，是“AI领域中估值最低的股票之一”。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>O'Connor称博通是定制ASIC芯片的领导者，拥有75%份额，并指出供应紧张的问题。他写道“需求是供应的两倍，因此确保额外供应是关键。”他还指出，该公司在2027财年可预见的市场需求已达12吉瓦。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>O'Connor称AMD为“智能体AI的最佳受益标的”，指出AMD在服务器CPU领域持续获得份额，其Helios GPU也在放量，锚定客户包括OpenAI、Meta(META)和Anthropic。他预计AMD盈利到2030年将以65%的复合年增长率增长。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>分析师还看好迈威尔科技的数据中心业务，并称与谷歌(GOOGL)达成的1200亿美元协议具有变革性。他还提到，10月6日的分析师日可能成为潜在催化剂。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>最后，O'Connor强调了Arm在CPU知识产权领域的主导地位，以及向定制芯片和加速器IP的扩张，他认为这可能使Arm盈利翻倍。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>最专业的美股资讯,推荐美股大数据 \u003Ca 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buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 \u003Ca href=\"https:\u002F\u002Fstockwe.com\" rel=\"noopener\">StockWe.com\u003C\u002Fa> 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，每天处理海量股票数据：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，美股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":81,"search":82,"searchPlaceholder":82,"hotContent":83,"draft":84,"noData":85,"searchNoData":86,"courseContent":87,"more":88,"buyNow":89,"subscribeNow":90,"encoding":91,"paidContent":92},"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","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"]