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中概股的诱惑
06-12
$纳斯达克(.IXIC)$
涨不动了,利好全部落地。几乎所有美国公司的市盈率都远远高过25,有史以来最大的泡。
中概股的诱惑
02-10
简直是胡说八道,qwen和llama早就被国内的公司用起来了。根本就不需要再做测试,现在只需要把以前的问题重新再问一遍deepseek。
美股今年牛市就靠DeepSeek了,多只受益股和板块深度分析
中概股的诱惑
02-10
$阿里巴巴-W(09988)$
现在不适合看空了, 事实证明阿里巴巴的开源模型很强。而且也不需要那么多高端显卡训练AI进入平民时代。
中概股的诱惑
2024-12-20
$深证成指(399001)$
中美利息差距又要拉大了
中概股的诱惑
2024-11-12
$特斯拉(TSLA)$
长多短空
中概股的诱惑
2024-11-07
AI解禁是训练数据训练内容解禁,而不是对华芯片解禁,简体中文的小作文真的是服了,偷换概念指鹿为马,那真的是家常便饭。
抱歉,原内容已删除
中概股的诱惑
2024-03-05
$英伟达(NVDA)$
据业内人士透露,上个季度英伟达的财报里面包含了中国大陆地区的销量。只不过财报没有反映在中国大陆地区而已,反映在了台湾地区的销量上面。第四季度台湾地区的销量猛增,一个弹丸地区,是不可能需要那么多AI服务器的,电力资源也不允许。
中概股的诱惑
2023-10-18
$英伟达(NVDA)$
有很多人不见棺材不掉泪啊,黄仁勋自从上次发财报后就开始减持了,自己都不看好未来,你们还在往里面冲,笑死,华尔街要出货了,看清节奏。
中概股的诱惑
2023-10-18
$英伟达(NVDA)$
很早就在评论区分享过了,禁令肯定会来的,只不过呢美国政府民主党那边跟华尔街是有千丝万缕的联系的。从去年10月份到今年10月份刚好一年,中国已经采购了足够的AI芯片。英伟达本年度的暴涨,业绩是不可持续的。而且上半年的业绩暴增,也多亏了中国企业疯狂买买买,其实海外的那些大厂根本就不慌。当然黄仁勋自己也犯了错,就是没有跟台积电达成一个比较好的分润机制,导致台积电把更多的产能留给了苹果,英伟达空有订单,却无法体现在业绩上,台湾那边服务器厂商签的合同,基本上是要等到交货,也就是说服务器里面插满了显卡之后,客户才付款。所以黄仁勋这辈子最大的错误就是把AI芯片的价格定到了天价,却不愿意给供应链的上下游分润。一人想吃独食,吃相太难看,还有就是臭名昭著的操纵财报,总之一顿骚操作666,成功突破万亿市值。不过未来肯定是撑不起这个市值了。
中概股的诱惑
2023-08-25
$英伟达(NVDA)$
业绩增速放缓,没能翻倍, 增速只有20%,Meta公司开源影响很大,阿里巴巴就直接选择了meta的开源模型。
中概股的诱惑
2023-08-11
$英伟达(NVDA)$
制裁了,快跑吧,温水煮青蛙,深套就不好了
中概股的诱惑
2023-08-01
还在吹牛逼骗韭菜,盘前成交量都没了,现在都是老韭菜不好骗,省省吧。台积电都说AI救不了芯片行业,除非英伟达愿意给台积电分润,台积电1万块钱造个芯片出来,英伟达拿出去卖要卖20万,台积电不会眼红吗?
四巨头订单就够季度目标!华尔街发现英伟达“需求远超预期”
中概股的诱惑
2023-07-19
昨天英文的旧新闻,今天简体中文翻译之后拿出来卖,哈哈哈,meta都开源了,国内那些大公司还训练个啥劲儿,又被美国佬骗了一堆钱,笑死
英伟达布局GPU云,接近收购LambdaLabs
中概股的诱惑
2023-07-05
哈哈哈,华尔街正在找接盘侠,笑死我了,毫不掩饰
NVIDIA现在的股价依然“很便宜” 尽管今年已飙升两倍!
中概股的诱惑
2023-06-28
$英伟达(NVDA)$
芯片禁令过渡期马上就结束了,被制裁是大概率的事件。
中概股的诱惑
2023-06-15
$特斯拉(TSLA)$
特斯拉有长期业绩增长的支撑,全球电动化大趋势。英伟达没有,今年上半年这波采购大行情结束之后,就没有什么业务了,又不是挖矿,显卡越多越好,而且有实力买高性能APU的大厂并不多。
中概股的诱惑
2023-06-15
$特斯拉(TSLA)$
木头姐都套现了。你们还在傻傻做多,快跑吧
中概股的诱惑
2021-11-08
$特斯拉(TSLA)$
感觉50%的暴跌即将开始。看看疫苗股就知道了。
中概股的诱惑
2021-03-17
国家队反手做多兄弟们。不要再傻傻做空了。
中概股的诱惑
2021-03-09
$美团-W(03690)$
国家队买少卖多。不乐观啊,美团。这次会不会跌回260?
去老虎APP查看更多动态
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href=\"https://laohu8.com/S/.IXIC\">$纳斯达克(.IXIC)$ </a><v-v data-views=\"0\"></v-v> 涨不动了,利好全部落地。几乎所有美国公司的市盈率都远远高过25,有史以来最大的泡。","listText":"<a href=\"https://laohu8.com/S/.IXIC\">$纳斯达克(.IXIC)$ </a><v-v data-views=\"0\"></v-v> 涨不动了,利好全部落地。几乎所有美国公司的市盈率都远远高过25,有史以来最大的泡。","text":"$纳斯达克(.IXIC)$ 涨不动了,利好全部落地。几乎所有美国公司的市盈率都远远高过25,有史以来最大的泡。","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":8,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/445311713448544","isVote":1,"tweetType":1,"viewCount":2003,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":402111450554696,"gmtCreate":1739190213448,"gmtModify":1739190214978,"author":{"id":"3454016442520150","authorId":"3454016442520150","name":"中概股的诱惑","avatar":"https://static.tigerbbs.com/579af92b0fbae0801019dac7cfc5abc5","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3454016442520150","authorIdStr":"3454016442520150"},"themes":[],"htmlText":"简直是胡说八道,qwen和llama早就被国内的公司用起来了。根本就不需要再做测试,现在只需要把以前的问题重新再问一遍deepseek。","listText":"简直是胡说八道,qwen和llama早就被国内的公司用起来了。根本就不需要再做测试,现在只需要把以前的问题重新再问一遍deepseek。","text":"简直是胡说八道,qwen和llama早就被国内的公司用起来了。根本就不需要再做测试,现在只需要把以前的问题重新再问一遍deepseek。","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/402111450554696","repostId":"2510188361","repostType":4,"repost":{"id":"2510188361","kind":"highlight","pubTimestamp":1739187903,"share":"https://www.laohu8.com/m/news/2510188361?lang=&edition=full","pubTime":"2025-02-10 19:45","market":"us","language":"zh","title":"美股今年牛市就靠DeepSeek了,多只受益股和板块深度分析","url":"https://stock-news.laohu8.com/highlight/detail?id=2510188361","media":"美股投资网","summary":"美国各大投行为了安抚被DeepSeek惊吓到的大客户,不得不在内部发表了对DeepSeek的看法和给出了一系列受益的票。DeepSeek对英伟达的变局整体来看,DeepSeek的到来为英伟达带来了一个“加速器”。此外Snowflake集成 DeepSeek加快了数据处理,生成数据集摘要、提供趋势或自动生成报告。DeepSeek的AI推理优化将大幅提升广告投放的精准度,使得广告平台能够更加智能地处理用户数据,从","content":"<html><head></head><body><p>美国各大投行为了安抚被DeepSeek惊吓到的大客户,不得不在内部发表了对DeepSeek的看法和给出了一系列受益的票。</p><p>我们为大家收集了各大的投行的内部和公开研报,提炼里面关键的核心要点,并加入我们的看法,浓缩到今天的文章。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/97d560d1b7c5d70276c0bfadb9f333b8\" tg-width=\"599\" tg-height=\"402\"/></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/35d50005c2027e4fd19ac7f2eed84243\" tg-width=\"1009\" tg-height=\"649\"/></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/c2385ce44995d6f5a84a8aa6d578d63a\" tg-width=\"1053\" tg-height=\"623\"/></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/e38d61b659de61aca86656579703efcf\" tg-width=\"963\" tg-height=\"570\"/></p><p>为何说DeepSeek会为今年的美股牛市提供了驱动力呢?有哪家公司会受益、哪些板块会起飞呢?今天好好来聊聊,干货满满。</p><p><strong>DeepSeek与GPU需求增长</strong></p><p>当一个新技术推出时人们往往会产生抵触情绪,因为新的事物带来不确定性,而不确定性会让人产生焦虑与恐慌,这现象让<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>一天暴跌17%,揭示了资本市场中情绪主导的定价机制。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/845d06942d6b17f9437f508936efa135\" tg-width=\"862\" tg-height=\"789\"/></p><p>根据我们调研发现,全球很多企业都在试用DeepSeek的同时,并没有立刻放弃原有的AI解决方案,而是选择同时使用两者。</p><p>为什么呢?因为DeepSeek和Meta的大模型一样,都是开源的,都可以免费部署到内部服务器上,可以访问内部数据并输出结果,这整个测试的过程,就需要花一段长的时间去观察,从技术性能、用户体验、业务价值、伦理风险等多个维度综合评估,没几个月都完成不了,意味着,企业不可能这么快就下定论说“哎,我们下个月就不需要买这么多GPU了。”</p><p>恰恰相反,更多的中小企业愿意去第一次尝试安装DeepSeek,而不得不去购买一批英伟达GPU,这直接导致了GPU需求的激增,特别是在云计算领域,英伟达的H100卡一度达到100%的利用率。虽然短期内需求波动可能会出现,但这种短期的需求增长,反而是技术创新带来的自然结果。</p><p>DeepSeek引发的算力需求变化,也符合经典的经济学理论“杰文悖论(Jevons Paradox) ”。</p><p>里面一个的核心观点是:<strong>当某种资源的使用效率提高时,反而会导致该资源的需求增加,而不是减少。</strong>这个悖论最初是用来描述煤炭使用的情况:当蒸汽机变得更加高效时,虽然每单位煤炭的消耗减少,但由于效率提高,使得煤炭的使用变得更加广泛,最终导致煤炭的总体需求反而增加。</p><p>将这一理论应用到AI算力上,DeepSeek优化算力的使用,使得AI技术变得更加高效和成本可控。</p><p>表面上看,AI训练所需的算力消耗减少了,似乎应该降低对算力的需求。然而,正如杰文悖论所揭示的,<strong>技术进步往往带来更多的应用场景</strong>,进而导致对该资源(在此情况下为算力)需求的增加。虽然DeepSeek使得AI变得“便宜”,但更多的公司和行业将开始广泛使用AI技术,这实际上推动了算力需求的增长。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/cc7e02b963500a701cd87340cd2375e0\" tg-width=\"783\" tg-height=\"565\"/></p><p><strong>DeepSeek对英伟达的变局</strong></p><p>整体来看,DeepSeek的到来为英伟达带来了一个“加速器”。尽管短期内可能会有波动,但随着AI技术的持续进步,算力需求只会越来越大。英伟达将在这场算力革命中继续占据核心地位,迎接更加广阔的市场。</p><p>但从长远来看,不确定因素增加了很多:</p><p>近期,<a href=\"https://laohu8.com/S/MSFT\">微软</a>和 Meta 公布了财报,并确认了持续的支出意向,主要集中在建设用于推理而非训练的数据中心,这与大多数AI投资都需要用于推理的观点一致。尽管如此,随着支出转向专用集成电路(ASIC),将超级计算机与设计平台相结合,预计对 GPU 的传统依赖将减少。这意味着利好了<a href=\"https://laohu8.com/S/AVGO\">博通</a> AVGO,利空了英伟达,这在我们之前视频就预测过,AVGO是今年的潜力好股。</p><p>在<a href=\"https://laohu8.com/S/JPM\">摩根大通</a>的对DeekSeep的研报中就提到,在最差情况下2027年科技四巨头在超大规模厂商的支出将减少24%,</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/66829f0e10f47fb9be3bc48bf76945c7\" tg-width=\"960\" tg-height=\"693\"/></p><p>由于资本支出计划的变化,其中大约有 375 亿美元的收入面临风险。这意味着到 2028 年,芯片制造商的数据中心收入将减少近 7 个百分点。不过,随着成本的下降,使用案例可能会增加,从而继续推动电力需求。科技巨头什么时候开始会砍开支,美股投资网估计在半年后或明年。</p><p>另外一个因素是如果DeepSeek的算法继续突破,效果越来越好,这样会提前了支出缩减的期限,DeepSeek的核心优势在于优化AI模型推理过程,使AI能够在本地电脑就可以高效运行。</p><p><strong>软硬件受益股</strong></p><p>对于软件公司而言,这一优势的最大亮点是,不再完全依赖云计算资源来处理AI任务。</p><p>过去,许多复杂的AI任务需要强大的云计算支持,但DeepSeek的优化使得这些任务能够通过本地设备进行推理和计算。这种转变不仅大幅提高了响应速度,减少了带宽消耗,还减少了对云计算的依赖,降低了成本,尤其在数据隐私和安全方面,提供了更为强大的保障。这意味着软件公司可以更高效地为客户提供定制化的解决方案,提升其产品的性能和竞争力。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/42ff3d172f30e49089682b794ea7a5b6\" tg-width=\"1080\" tg-height=\"608\"/></p><p>在数据分析领域,像Palantir (PLTR)、Elastic (ESTC)、MongoDB (MDB)、Confluent (CFLT)等公司,都依赖AI来处理<a href=\"https://laohu8.com/S/603138\">海量数据</a>并从中提取价值。DeepSeek的本地化让这些公司能够在本地设备上更高效地执行数据处理任务,尤其是在实时数据分析方面。比如,Palantir为证府和企业提供数据分析服务,利用DeepSeek的优化算法,能够更快地处理复杂的数据集,帮助客户做出及时的决策。</p><p>同样,Elastic的搜索引擎技术也能通过DeepSeek优化AI推理过程,提升数据查询的速度和准确性。大大提高公司服务的速度和响应能力,还能减少依赖云端计算资源的成本,从而为客户提供更加高效和经济的数据处理服务。</p><p>多家投行的分析师都特别提到了数据存储分析公司 <a href=\"https://laohu8.com/S/SNOW\">Snowflake</a>,因为接下来更多的应用得以构建,进而产生对数据基础设施的更大需求。此外Snowflake集成 DeepSeek加快了数据处理,生成数据集摘要、提供趋势或自动生成报告。</p><p>但是,根据美股投资网业内的朋友了解到,Snowflake最大的竞争对手Databricks正在不断抢夺Snowflake的商业客户,Databricks营收增速很快,而Snowflake却在放缓。</p><p>受到负面影响的公司是<a href=\"https://laohu8.com/S/ORCL\">甲骨文</a>ORCL:摩根大通认为DeepSeek的出现可能会增加过度建设数据中心的可能性,潜在结果复杂且充满不确定性。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/55ef02217e82a76ee95963b8bdd5cdd2\" tg-width=\"753\" tg-height=\"569\"/></p><p>云服务和基础设施领域的受益:<a href=\"https://laohu8.com/S/NOW\">ServiceNow</a> (NOW)、<a href=\"https://laohu8.com/S/DDOG\">Datadog</a> (DDOG)、Cloudflare (NET)、<a href=\"https://laohu8.com/S/FTNT\">飞塔信息</a> (FINT)等云服务公司,也将从DeepSeek技术的应用中受益。</p><p>DeepSeek推动的AI推理本地化意味着,这些云平台可以将一部分计算任务迁移到本地设备上完成,从而减少了带宽的使用和延迟,提升了用户体验。</p><p>比如,ServiceNow在IT服务管理中的应用,借助DeepSeek优化的AI推理,能够实现更智能、更快速的问题检测与处理,帮助企业减少系统故障的停机时间,提升整体生产力。</p><p>Datadog和Cloudflare等公司,也能够在云端和本地设备之间实现更高效的计算资源分配,特别是在实时监控和数据流量分析方面,DeepSeek的优化使得数据处理能够更实时地进行,进一步提高了它们在行业中的竞争力。</p><p>在数字广告与营销领域,Applovin (APP)、<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>,Twilio (TWLO)、Meta等公司,通过AI实现精准广告投放和用户行为分析。DeepSeek的AI推理优化将大幅提升广告投放的精准度,使得广告平台能够更加智能地处理用户数据,从而提供实时的个性化广告服务,提高广告转化率。</p><p>此外,TWLO等通讯和营销平台也能受益于DeepSeek的推理优化。通过更加高效的本地推理,TWLO等将能够更快速地分析客户行为数据,实现更加精准短信和邮件营销,从而提升客户关系管理的效果。</p><p>在企业级解决方案领域,像<a href=\"https://laohu8.com/S/WDAY\">Workday</a> (WDAY)、<a href=\"https://laohu8.com/S/ZM\">Zoom</a> (ZM)、Monday (MNDY)、Gitlab (GTLB)、C3.ai (AI)、SalesForce (CRM)、<a href=\"https://laohu8.com/S/HUBS\">HubSpot</a> (HUBS)等公司,也将通过DeepSeek优化AI推理获得竞争优势。Zoom作为全球领先的视频会议平台,将能够通过更高效的AI实现智能会议记录、自动生成翻译和字幕等功能,大大提高用户体验。</p><p>Workday等人力资源管理软件公司也能利用DeepSeek分析功能,更加高效地处理员工数据、提升决策分析的精准度。这使得企业能够做出更加智能化的人员调配和资源分配决策,进一步提升组织效率。</p><p>说完了软件说硬件,DeepSeek为ALAB(高速网络通信商)提供了优势。首先,DeepSeek的本地化部署减少了对云计算资源的依赖,降低了带宽消耗和运营成本,让ALAB能够在高流量情况下保持网络稳定性。更重要的是,DeepSeek提升了数据隐私保护,减少了数据在传输过程中的风险,使ALAB能够提供更安全的服务,提升客户信任度。</p><p>同样<a href=\"https://laohu8.com/S/AAPL\">苹果</a>也受益于DeepSeek,用户可以通过对话就能操控手机执行任务,并且,AI能提供更精准的日程建.议、场景化提醒。针对中文用户需求,DeepSeek可提供本地化的语音识别、方言支持、文化场景理解(如节日提醒、本地服务推荐)。</p><p><strong>机器人受益公司</strong></p><p>2025年注定是机器人爆发的一年,像<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a>、<a href=\"https://laohu8.com/S/AMZN\">亚马逊</a>等公司,长期以来就利用机器人技术推动自动化生产、物流和仓储。DeepSeek使得这些机器人能够完成更多复杂任务,特别是在障碍物识别、路径规划、自动驾驶等复杂任务提升了机器人智能化能力。</p><p>亚马逊的仓储机器人,依赖AI进行实时的物品搬运和路径规划,DeepSeek的优化使得这些机器人能够更高效地在仓库中完成任务,减少人工干预,提高自动化程度。</p><p>对于硬件制造商来说,机器人硬件制造商如Serve Robotics (SERV)和<a href=\"https://laohu8.com/S/RR\">Richtech Robotics</a> (RR)将能够利用DeepSeek技术提升机器人处理能力,减少云计算对硬件的依赖,进一步提升机器人的智能化水平。这将推动机器人技术的广泛应用,特别是在配送、物流等领域。</p><p><strong>电脑产业链受益公司</strong></p><p>随着DeepSeek优化AI推理的本地化,电脑设备的需求正迎来快速增长。特别是那些支持强大算力的电脑,DeepSeek帮助电脑设备在处理大规模AI应用时发挥出色的能力。随着AI应用场景的不断扩展,越来越多的电脑将成为AI推理的核心设备,进一步推动了AI 电脑的需求增长。</p><p>这一变化的最大受益者是DELL、HPQ和HPE等PC厂商。随着DeepSeek优化算法的出现,AI应用正逐渐从传统的云计算环境向本地计算设备迁移。电脑成为了理想的承载平台,特别是那些在生产力工具上有需求的设备。</p><p>AI电脑需要强大的计算能力,而DELL、HPQ和HPE作为长期深耕电脑硬件的厂商,具备了强大的技术创新能力,可以为市场提供满足这一需求的高性能终端产品,比如支持大内存和高GPU算力的工作站及电脑等。这些厂商不仅能够迎合高端用户对本地AI计算的需求,还将助力推动全球电脑市场的复苏。</p><p>根据IDC的预测,2024年全球电脑市场预计将增长1%,而随着AIPC电脑需求的增长,这一增幅可能会被大幅推高,DELL、HPQ和HPE有望因此从中分得可观的市场份额。</p><p>此外,微软在这一变化中扮演着至关重要的角色。DeepSeek技术的引入将使微软能够为Windows 11 Copilot等产品增加本地AI应用支持,微软的操作系统不仅能为开发者提供优化的本地AI应用工具,还能进一步巩固Windows在AI生态系统中的地位。</p><p>不仅仅是PC终端厂商,整个供应链中的公司也将从中获益。AI电脑对内存、显卡等核心硬件的需求大幅增加,<a href=\"https://laohu8.com/S/MU\">美光科技</a>(MU)等内存制造商,以及<a href=\"https://laohu8.com/S/TSM\">台积电</a>等半导体代工厂商,都将在AI技术发展中获得更多市场机会。</p><p>同时,更高性能硬件的需求还将推动散热系统、电磁屏蔽材料等配件厂商的增长。这一趋势将为整个电脑产业链注入强劲的动力,推动相关厂商迎来新一轮的订单增长。</p></body></html>","source":"lsy1625014679106","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>美股今年牛市就靠DeepSeek了,多只受益股和板块深度分析</title>\n<style 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margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n美股今年牛市就靠DeepSeek了,多只受益股和板块深度分析\n</h2>\n\n<h4 class=\"meta\">\n\n\n2025-02-10 19:45 北京时间 <a href=https://mp.weixin.qq.com/s/5X6Hr8nH-meNk0OEUc33_A><strong>美股投资网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>美国各大投行为了安抚被DeepSeek惊吓到的大客户,不得不在内部发表了对DeepSeek的看法和给出了一系列受益的票。我们为大家收集了各大的投行的内部和公开研报,提炼里面关键的核心要点,并加入我们的看法,浓缩到今天的文章。为何说DeepSeek会为今年的美股牛市提供了驱动力呢?有哪家公司会受益、哪些板块会起飞呢?今天好好来聊聊,干货满满。DeepSeek与GPU需求增长当一个新技术推出时人们往往...</p>\n\n<a href=\"https://mp.weixin.qq.com/s/5X6Hr8nH-meNk0OEUc33_A\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/24ce69153b8cc329654f54549ab4d0dd","relate_stocks":{"LU0289960550.SGD":"AB FCP I - GLOBAL EQUITY BLEND PORTFOLIO 'A' (SGD) ACC","LU2720916845.USD":"BGF GLOBAL UNCONSTRAINED EQUITY \"A2\" (USD) ACC","NVDD":"Direxion Daily NVDA Bear 1X Shares","IE0002270589.USD":"LEGG MASON CLEARBRIDGE VALUE \"A\" (USD) INC","LU0203347892.USD":"SCHRODER ISF QEP GLOBAL ACTIVE VALLUE \"A\" (USD) INC AV","HUBS":"HubSpot","SNVD.UK":"LS -1X NVIDIA","NVDS.UK":"LS -1X NVIDIA","2NVD.UK":"2X NVIDIA ETP","GTLB":"GitLab, Inc.","NET":"Cloudflare, Inc.","LU1861127337.USD":"ALLIANZ GLOBAL MULTI ASSET SUSTAINABILITY BALANCED \"AMG\" (USD) INC","NVIW.SI":"NVDA 3xLongSG261006","NVD":"GraniteShares 2x Short NVDA Daily ETF","NOW":"ServiceNow","NVD3.UK":"LS 3X NVIDIA","NVDA":"英伟达","APP":"AppLovin Corporation","ZM":"Zoom","LU0006306889.USD":"SCHRODER 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Inc."},"source_url":"https://mp.weixin.qq.com/s/5X6Hr8nH-meNk0OEUc33_A","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2510188361","content_text":"美国各大投行为了安抚被DeepSeek惊吓到的大客户,不得不在内部发表了对DeepSeek的看法和给出了一系列受益的票。我们为大家收集了各大的投行的内部和公开研报,提炼里面关键的核心要点,并加入我们的看法,浓缩到今天的文章。为何说DeepSeek会为今年的美股牛市提供了驱动力呢?有哪家公司会受益、哪些板块会起飞呢?今天好好来聊聊,干货满满。DeepSeek与GPU需求增长当一个新技术推出时人们往往会产生抵触情绪,因为新的事物带来不确定性,而不确定性会让人产生焦虑与恐慌,这现象让英伟达一天暴跌17%,揭示了资本市场中情绪主导的定价机制。根据我们调研发现,全球很多企业都在试用DeepSeek的同时,并没有立刻放弃原有的AI解决方案,而是选择同时使用两者。为什么呢?因为DeepSeek和Meta的大模型一样,都是开源的,都可以免费部署到内部服务器上,可以访问内部数据并输出结果,这整个测试的过程,就需要花一段长的时间去观察,从技术性能、用户体验、业务价值、伦理风险等多个维度综合评估,没几个月都完成不了,意味着,企业不可能这么快就下定论说“哎,我们下个月就不需要买这么多GPU了。”恰恰相反,更多的中小企业愿意去第一次尝试安装DeepSeek,而不得不去购买一批英伟达GPU,这直接导致了GPU需求的激增,特别是在云计算领域,英伟达的H100卡一度达到100%的利用率。虽然短期内需求波动可能会出现,但这种短期的需求增长,反而是技术创新带来的自然结果。DeepSeek引发的算力需求变化,也符合经典的经济学理论“杰文悖论(Jevons Paradox) ”。里面一个的核心观点是:当某种资源的使用效率提高时,反而会导致该资源的需求增加,而不是减少。这个悖论最初是用来描述煤炭使用的情况:当蒸汽机变得更加高效时,虽然每单位煤炭的消耗减少,但由于效率提高,使得煤炭的使用变得更加广泛,最终导致煤炭的总体需求反而增加。将这一理论应用到AI算力上,DeepSeek优化算力的使用,使得AI技术变得更加高效和成本可控。表面上看,AI训练所需的算力消耗减少了,似乎应该降低对算力的需求。然而,正如杰文悖论所揭示的,技术进步往往带来更多的应用场景,进而导致对该资源(在此情况下为算力)需求的增加。虽然DeepSeek使得AI变得“便宜”,但更多的公司和行业将开始广泛使用AI技术,这实际上推动了算力需求的增长。DeepSeek对英伟达的变局整体来看,DeepSeek的到来为英伟达带来了一个“加速器”。尽管短期内可能会有波动,但随着AI技术的持续进步,算力需求只会越来越大。英伟达将在这场算力革命中继续占据核心地位,迎接更加广阔的市场。但从长远来看,不确定因素增加了很多:近期,微软和 Meta 公布了财报,并确认了持续的支出意向,主要集中在建设用于推理而非训练的数据中心,这与大多数AI投资都需要用于推理的观点一致。尽管如此,随着支出转向专用集成电路(ASIC),将超级计算机与设计平台相结合,预计对 GPU 的传统依赖将减少。这意味着利好了博通 AVGO,利空了英伟达,这在我们之前视频就预测过,AVGO是今年的潜力好股。在摩根大通的对DeekSeep的研报中就提到,在最差情况下2027年科技四巨头在超大规模厂商的支出将减少24%,由于资本支出计划的变化,其中大约有 375 亿美元的收入面临风险。这意味着到 2028 年,芯片制造商的数据中心收入将减少近 7 个百分点。不过,随着成本的下降,使用案例可能会增加,从而继续推动电力需求。科技巨头什么时候开始会砍开支,美股投资网估计在半年后或明年。另外一个因素是如果DeepSeek的算法继续突破,效果越来越好,这样会提前了支出缩减的期限,DeepSeek的核心优势在于优化AI模型推理过程,使AI能够在本地电脑就可以高效运行。软硬件受益股对于软件公司而言,这一优势的最大亮点是,不再完全依赖云计算资源来处理AI任务。过去,许多复杂的AI任务需要强大的云计算支持,但DeepSeek的优化使得这些任务能够通过本地设备进行推理和计算。这种转变不仅大幅提高了响应速度,减少了带宽消耗,还减少了对云计算的依赖,降低了成本,尤其在数据隐私和安全方面,提供了更为强大的保障。这意味着软件公司可以更高效地为客户提供定制化的解决方案,提升其产品的性能和竞争力。在数据分析领域,像Palantir (PLTR)、Elastic (ESTC)、MongoDB (MDB)、Confluent (CFLT)等公司,都依赖AI来处理海量数据并从中提取价值。DeepSeek的本地化让这些公司能够在本地设备上更高效地执行数据处理任务,尤其是在实时数据分析方面。比如,Palantir为证府和企业提供数据分析服务,利用DeepSeek的优化算法,能够更快地处理复杂的数据集,帮助客户做出及时的决策。同样,Elastic的搜索引擎技术也能通过DeepSeek优化AI推理过程,提升数据查询的速度和准确性。大大提高公司服务的速度和响应能力,还能减少依赖云端计算资源的成本,从而为客户提供更加高效和经济的数据处理服务。多家投行的分析师都特别提到了数据存储分析公司 Snowflake,因为接下来更多的应用得以构建,进而产生对数据基础设施的更大需求。此外Snowflake集成 DeepSeek加快了数据处理,生成数据集摘要、提供趋势或自动生成报告。但是,根据美股投资网业内的朋友了解到,Snowflake最大的竞争对手Databricks正在不断抢夺Snowflake的商业客户,Databricks营收增速很快,而Snowflake却在放缓。受到负面影响的公司是甲骨文ORCL:摩根大通认为DeepSeek的出现可能会增加过度建设数据中心的可能性,潜在结果复杂且充满不确定性。云服务和基础设施领域的受益:ServiceNow (NOW)、Datadog (DDOG)、Cloudflare (NET)、飞塔信息 (FINT)等云服务公司,也将从DeepSeek技术的应用中受益。DeepSeek推动的AI推理本地化意味着,这些云平台可以将一部分计算任务迁移到本地设备上完成,从而减少了带宽的使用和延迟,提升了用户体验。比如,ServiceNow在IT服务管理中的应用,借助DeepSeek优化的AI推理,能够实现更智能、更快速的问题检测与处理,帮助企业减少系统故障的停机时间,提升整体生产力。Datadog和Cloudflare等公司,也能够在云端和本地设备之间实现更高效的计算资源分配,特别是在实时监控和数据流量分析方面,DeepSeek的优化使得数据处理能够更实时地进行,进一步提高了它们在行业中的竞争力。在数字广告与营销领域,Applovin (APP)、谷歌,Twilio (TWLO)、Meta等公司,通过AI实现精准广告投放和用户行为分析。DeepSeek的AI推理优化将大幅提升广告投放的精准度,使得广告平台能够更加智能地处理用户数据,从而提供实时的个性化广告服务,提高广告转化率。此外,TWLO等通讯和营销平台也能受益于DeepSeek的推理优化。通过更加高效的本地推理,TWLO等将能够更快速地分析客户行为数据,实现更加精准短信和邮件营销,从而提升客户关系管理的效果。在企业级解决方案领域,像Workday (WDAY)、Zoom (ZM)、Monday (MNDY)、Gitlab (GTLB)、C3.ai (AI)、SalesForce (CRM)、HubSpot (HUBS)等公司,也将通过DeepSeek优化AI推理获得竞争优势。Zoom作为全球领先的视频会议平台,将能够通过更高效的AI实现智能会议记录、自动生成翻译和字幕等功能,大大提高用户体验。Workday等人力资源管理软件公司也能利用DeepSeek分析功能,更加高效地处理员工数据、提升决策分析的精准度。这使得企业能够做出更加智能化的人员调配和资源分配决策,进一步提升组织效率。说完了软件说硬件,DeepSeek为ALAB(高速网络通信商)提供了优势。首先,DeepSeek的本地化部署减少了对云计算资源的依赖,降低了带宽消耗和运营成本,让ALAB能够在高流量情况下保持网络稳定性。更重要的是,DeepSeek提升了数据隐私保护,减少了数据在传输过程中的风险,使ALAB能够提供更安全的服务,提升客户信任度。同样苹果也受益于DeepSeek,用户可以通过对话就能操控手机执行任务,并且,AI能提供更精准的日程建.议、场景化提醒。针对中文用户需求,DeepSeek可提供本地化的语音识别、方言支持、文化场景理解(如节日提醒、本地服务推荐)。机器人受益公司2025年注定是机器人爆发的一年,像特斯拉、亚马逊等公司,长期以来就利用机器人技术推动自动化生产、物流和仓储。DeepSeek使得这些机器人能够完成更多复杂任务,特别是在障碍物识别、路径规划、自动驾驶等复杂任务提升了机器人智能化能力。亚马逊的仓储机器人,依赖AI进行实时的物品搬运和路径规划,DeepSeek的优化使得这些机器人能够更高效地在仓库中完成任务,减少人工干预,提高自动化程度。对于硬件制造商来说,机器人硬件制造商如Serve Robotics (SERV)和Richtech Robotics (RR)将能够利用DeepSeek技术提升机器人处理能力,减少云计算对硬件的依赖,进一步提升机器人的智能化水平。这将推动机器人技术的广泛应用,特别是在配送、物流等领域。电脑产业链受益公司随着DeepSeek优化AI推理的本地化,电脑设备的需求正迎来快速增长。特别是那些支持强大算力的电脑,DeepSeek帮助电脑设备在处理大规模AI应用时发挥出色的能力。随着AI应用场景的不断扩展,越来越多的电脑将成为AI推理的核心设备,进一步推动了AI 电脑的需求增长。这一变化的最大受益者是DELL、HPQ和HPE等PC厂商。随着DeepSeek优化算法的出现,AI应用正逐渐从传统的云计算环境向本地计算设备迁移。电脑成为了理想的承载平台,特别是那些在生产力工具上有需求的设备。AI电脑需要强大的计算能力,而DELL、HPQ和HPE作为长期深耕电脑硬件的厂商,具备了强大的技术创新能力,可以为市场提供满足这一需求的高性能终端产品,比如支持大内存和高GPU算力的工作站及电脑等。这些厂商不仅能够迎合高端用户对本地AI计算的需求,还将助力推动全球电脑市场的复苏。根据IDC的预测,2024年全球电脑市场预计将增长1%,而随着AIPC电脑需求的增长,这一增幅可能会被大幅推高,DELL、HPQ和HPE有望因此从中分得可观的市场份额。此外,微软在这一变化中扮演着至关重要的角色。DeepSeek技术的引入将使微软能够为Windows 11 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制裁了,快跑吧,温水煮青蛙,深套就不好了","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":3,"repostSize":0,"link":"https://laohu8.com/post/207742985322728","isVote":1,"tweetType":1,"viewCount":3566,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3548243647160644","authorId":"3548243647160644","name":"终于爬出来","avatar":"https://static.tigerbbs.com/f02507bf20fd995bde7b219f02171b94","crmLevel":2,"crmLevelSwitch":0,"idStr":"3548243647160644","authorIdStr":"3548243647160644"},"content":"制裁的是不能卖给中国,搞得不卖给中国没人买一样。动动脑袋啊","text":"制裁的是不能卖给中国,搞得不卖给中国没人买一样。动动脑袋啊","html":"制裁的是不能卖给中国,搞得不卖给中国没人买一样。动动脑袋啊"}],"imageCount":0,"langContent":"CN","totalScore":0},{"id":204210123878648,"gmtCreate":1690887323944,"gmtModify":1690887457696,"author":{"id":"3454016442520150","authorId":"3454016442520150","name":"中概股的诱惑","avatar":"https://static.tigerbbs.com/579af92b0fbae0801019dac7cfc5abc5","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3454016442520150","authorIdStr":"3454016442520150"},"themes":[],"htmlText":"还在吹牛逼骗韭菜,盘前成交量都没了,现在都是老韭菜不好骗,省省吧。台积电都说AI救不了芯片行业,除非英伟达愿意给台积电分润,台积电1万块钱造个芯片出来,英伟达拿出去卖要卖20万,台积电不会眼红吗?","listText":"还在吹牛逼骗韭菜,盘前成交量都没了,现在都是老韭菜不好骗,省省吧。台积电都说AI救不了芯片行业,除非英伟达愿意给台积电分润,台积电1万块钱造个芯片出来,英伟达拿出去卖要卖20万,台积电不会眼红吗?","text":"还在吹牛逼骗韭菜,盘前成交量都没了,现在都是老韭菜不好骗,省省吧。台积电都说AI救不了芯片行业,除非英伟达愿意给台积电分润,台积电1万块钱造个芯片出来,英伟达拿出去卖要卖20万,台积电不会眼红吗?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/204210123878648","repostId":"1134471751","repostType":2,"repost":{"id":"1134471751","kind":"news","pubTimestamp":1690858617,"share":"https://www.laohu8.com/m/news/1134471751?lang=&edition=full","pubTime":"2023-08-01 10:56","market":"hk","language":"zh","title":"四巨头订单就够季度目标!华尔街发现英伟达“需求远超预期”","url":"https://stock-news.laohu8.com/highlight/detail?id=1134471751","media":"华尔街见闻","summary":"芯片需求“爆表”,主宰者“英伟达”业绩或远超普遍预期。同时,他们预计其他大型科技公司和人工智能初创企业对英伟达的需求也更乐观。伯恩斯坦分析师表示,目前限制英伟达营收的因素是半导体代工厂先进的芯片封装能力。他们将英伟达股票评级调至“跑赢大盘”,目股价为475美元。目前,英伟达股价为467美元左右。这一分析结果显示了对英伟达未来发展的乐观态度。","content":"<html><head></head><body><blockquote>伯恩斯坦分析师,芯片需求爆表,2024年<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>数据中心和AI芯片收入或达750亿至900亿美元,远超华尔街分析师的一致预期420亿美元。</blockquote><p style=\"text-align: justify;\">芯片需求“爆表”,主宰者“英伟达”业绩或远超普遍预期。</p><p style=\"text-align: justify;\">周一,伯恩斯坦分析师通过云计算厂商最新透露的在人工智能支出计划,测算得出英伟达的实际业绩情况可能更为乐观。</p><p style=\"text-align: justify;\"><strong>该分析师团队汇总了他们对<a href=\"https://laohu8.com/S/MSFT\">微软</a> 、Meta、字节和<a href=\"https://laohu8.com/S/GOOG\">谷歌</a> AI 芯片支出增长的估计,发现仅这四家公司就足以让英伟达实现本季度的指导目标。</strong>同时,他们预计其他大型科技公司和人工智能初创企业对英伟达的需求也更乐观。</p><p style=\"text-align: justify;\">伯恩斯坦分析师表示,目前限制英伟达营收的因素是半导体代工厂先进的芯片封装能力。随着明年封装能力的提升,<strong>英伟达将有可能在2024年创造750亿至900亿美元的数据中心和AI芯片收入,而华尔街分析师的一致预期仅为420亿美元。</strong></p><p style=\"text-align: justify;\">不过,随着人工智能基础设施建设过多,可能带来的短期和中期风险,比如对英伟达芯片需求先旺后衰,伯恩斯坦技术分析师团队淡化了这一风险。</p><p style=\"text-align: justify;\"><strong>他们将英伟达股票评级调至“跑赢大盘”,目股价为475美元。</strong>目前,英伟达股价为467美元左右。</p><p style=\"text-align: justify;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/906f6ead5c983b5a91f6e22ac4897ac5\" tg-width=\"560\" tg-height=\"240\"/></p><p style=\"text-align: justify;\">伯恩斯坦团队表示,在未来相当长的一段时间内,至少在未来12-18个月内,预计英伟达的业绩将保持增长,并可能将持续走高。这一分析结果显示了对英伟达未来发展的乐观态度。</p><p style=\"text-align: justify;\">此前,瑞穗分析师Vijay Rakesh也指出,AI给英伟达带来的股价上行空间超乎想象,并将英伟达目标价从400美元上调至530美元。</p></body></html>","source":"wallstreetcn_api","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>四巨头订单就够季度目标!华尔街发现英伟达“需求远超预期”</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; 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width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n四巨头订单就够季度目标!华尔街发现英伟达“需求远超预期”\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-08-01 10:56 北京时间 <a href=https://wallstreetcn.com/articles/3694528><strong>华尔街见闻</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>伯恩斯坦分析师,芯片需求爆表,2024年英伟达数据中心和AI芯片收入或达750亿至900亿美元,远超华尔街分析师的一致预期420亿美元。芯片需求“爆表”,主宰者“英伟达”业绩或远超普遍预期。周一,伯恩斯坦分析师通过云计算厂商最新透露的在人工智能支出计划,测算得出英伟达的实际业绩情况可能更为乐观。该分析师团队汇总了他们对微软 、Meta、字节和谷歌 AI 芯片支出增长的估计,发现仅这四家公司就足以让...</p>\n\n<a href=\"https://wallstreetcn.com/articles/3694528\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/3f1c866c487eb9e101f73a62d4495ce9","relate_stocks":{"IE00BFSS8Q28.SGD":"Janus Henderson Balanced A Inc SGD-H","LU0053666078.USD":"摩根大通基金-美国股票A(离岸)美元","BK4550":"红杉资本持仓","LU0082616367.USD":"摩根大通美国科技A(dist)","LU1551013425.SGD":"Allianz Income and Growth Cl AMg2 DIS H2-SGD","BK4548":"巴美列捷福持仓","IE00BJJMRY28.SGD":"Janus Henderson Balanced A Inc SGD","BK4551":"寇图资本持仓","LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","LU0353189680.USD":"富国美国全盘成长基金Cl A Acc","BK4532":"文艺复兴科技持仓","BK4554":"元宇宙及AR概念","NVDA":"英伟达","BK4567":"ESG概念","BK4534":"瑞士信贷持仓","BK4533":"AQR资本管理(全球第二大对冲基金)","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","IE0034235188.USD":"PINEBRIDGE GLOBAL FOCUS EQUITY \"A\" (USD) ACC","LU1316542783.SGD":"Janus Henderson Horizon Global Technology Leaders A2 SGD","LU0943347566.SGD":"安联收益及增长平衡基金AM H2-SGD"},"source_url":"https://wallstreetcn.com/articles/3694528","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1134471751","content_text":"伯恩斯坦分析师,芯片需求爆表,2024年英伟达数据中心和AI芯片收入或达750亿至900亿美元,远超华尔街分析师的一致预期420亿美元。芯片需求“爆表”,主宰者“英伟达”业绩或远超普遍预期。周一,伯恩斯坦分析师通过云计算厂商最新透露的在人工智能支出计划,测算得出英伟达的实际业绩情况可能更为乐观。该分析师团队汇总了他们对微软 、Meta、字节和谷歌 AI 芯片支出增长的估计,发现仅这四家公司就足以让英伟达实现本季度的指导目标。同时,他们预计其他大型科技公司和人工智能初创企业对英伟达的需求也更乐观。伯恩斯坦分析师表示,目前限制英伟达营收的因素是半导体代工厂先进的芯片封装能力。随着明年封装能力的提升,英伟达将有可能在2024年创造750亿至900亿美元的数据中心和AI芯片收入,而华尔街分析师的一致预期仅为420亿美元。不过,随着人工智能基础设施建设过多,可能带来的短期和中期风险,比如对英伟达芯片需求先旺后衰,伯恩斯坦技术分析师团队淡化了这一风险。他们将英伟达股票评级调至“跑赢大盘”,目股价为475美元。目前,英伟达股价为467美元左右。伯恩斯坦团队表示,在未来相当长的一段时间内,至少在未来12-18个月内,预计英伟达的业绩将保持增长,并可能将持续走高。这一分析结果显示了对英伟达未来发展的乐观态度。此前,瑞穗分析师Vijay Rakesh也指出,AI给英伟达带来的股价上行空间超乎想象,并将英伟达目标价从400美元上调至530美元。","news_type":1,"symbols_score_info":{"NVDA":1}},"isVote":1,"tweetType":1,"viewCount":6519,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":199596693082136,"gmtCreate":1689755637590,"gmtModify":1689756462880,"author":{"id":"3454016442520150","authorId":"3454016442520150","name":"中概股的诱惑","avatar":"https://static.tigerbbs.com/579af92b0fbae0801019dac7cfc5abc5","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3454016442520150","authorIdStr":"3454016442520150"},"themes":[],"htmlText":"昨天英文的旧新闻,今天简体中文翻译之后拿出来卖,哈哈哈,meta都开源了,国内那些大公司还训练个啥劲儿,又被美国佬骗了一堆钱,笑死","listText":"昨天英文的旧新闻,今天简体中文翻译之后拿出来卖,哈哈哈,meta都开源了,国内那些大公司还训练个啥劲儿,又被美国佬骗了一堆钱,笑死","text":"昨天英文的旧新闻,今天简体中文翻译之后拿出来卖,哈哈哈,meta都开源了,国内那些大公司还训练个啥劲儿,又被美国佬骗了一堆钱,笑死","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/199596693082136","repostId":"2352770914","repostType":2,"repost":{"id":"2352770914","kind":"news","pubTimestamp":1689737941,"share":"https://www.laohu8.com/m/news/2352770914?lang=&edition=full","pubTime":"2023-07-19 11:39","market":"us","language":"zh","title":"英伟达布局GPU云,接近收购LambdaLabs","url":"https://stock-news.laohu8.com/highlight/detail?id=2352770914","media":"全天候科技","summary":"当地时间7月18日,美国科技媒体The Information援引知情人士报道,英伟达正在接近达成一项入股云提供商Lambda Labs的交易。稍早前,英伟达已经收购了Lambda竞争对手CoreWeave。这笔交易的新资本总额可能达到3亿美元,包括新资本在内,Lambda Labs的估值可能超过10亿美元。Lambda首席执行官Stephen Balaban拒绝讨论公司与英伟达的关系。业务转型后,预计Lambda每年的营收将达到数亿美元。据PitchBook称,Lambda此前从谷歌旗下Gradient Ventures、Bloomberg Beta和Mercato Partners等风投机构那里筹集了7250万美元。","content":"<html><head></head><body><p><a href=\"https://laohu8.com/S/NVDA\">英伟达</a>的角色正从芯片设计公司转向云服务提供商。</p><p>当地时间7月18日,美国科技媒体The Information援引知情人士报道,<strong>英伟达正在接近达成一项入股云提供商Lambda Labs的交易。</strong>稍早前,英伟达已经收购了Lambda竞争对手CoreWeave。</p><p>这笔交易的新资本总额可能达到3亿美元,包括新资本在内,<strong>Lambda Labs的估值可能超过10亿美元。</strong></p><p>报道称,英伟达发言人没有发表评论。Lambda首席执行官Stephen Balaban拒绝讨论公司与英伟达的关系。</p><p>如果交易达成,<strong>这将是英伟达自3月以来的第八笔私人初创公司投资</strong>。分析认为,<strong>英伟达可能会将GPU出售给这些云初创公司,从而将GPU目标客户群从<a href=\"https://laohu8.com/S/AMZN\">亚马逊</a>、<a href=\"https://laohu8.com/S/MSFT\">微软</a>和<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>等巨头转移。</strong></p><p>ChatGPT出圈后,全球上演了AI模型开发竞赛,进一步导致GPU需求激增。</p><p>报道称,业界对英伟达最受欢迎的芯片GPU A100的需求之高,导致亚马逊、微软、谷歌和<a href=\"https://laohu8.com/S/ORCL\">甲骨文</a>限制其云客户租用。</p><p>这几家巨头是采用英伟达芯片的AI服务器的主要客户,但也开发自己的AI服务器芯片,并希望将其进行出售。</p><p><strong>这意味着它们可能会成为英伟达的强劲竞争对手。</strong></p><p>相比之下,<strong>Lambda和CoreWeave对英伟达构成的威胁较小</strong>,它们不设计自己的芯片,因此,英伟达有充分的理由帮助它们走向成功。</p><p>目前,云提供商尚未向客户大规模提供英伟达最新芯片H100,但英伟达在今年早些时候首次推出时,选择了CoreWeave和Lambda作为首批使用的公司之一。</p><p>Lambda成立于2012年,2020年该公司营收超过2000万美元,当时公司的业务重点是销售GPU驱动的计算机,而非GPU云服务器租赁。<strong>业务转型后,预计Lambda每年的营收将达到数亿美元。</strong></p><p>据PitchBook称,Lambda此前从谷歌旗下Gradient Ventures、Bloomberg Beta和Mercato Partners等风投机构那里筹集了7250万美元。</p><p>英伟达股价今年上涨超过230%,市值超过1万亿美元,数据中心芯片业务推动了其销售和盈利增长。</p><p>投资者押注,随着英伟达将运行传统CPU的老化服务器替换为将GPU和CPU结合在单个芯片上的服务器,这种增长将持续下去。</p></body></html>","source":"qthkj","collect":0,"html":"<!DOCTYPE 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}\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n英伟达布局GPU云,接近收购LambdaLabs\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-07-19 11:39 北京时间 <a href=https://wallstreetcn.com/articles/3693571><strong>全天候科技</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>英伟达的角色正从芯片设计公司转向云服务提供商。当地时间7月18日,美国科技媒体The Information援引知情人士报道,英伟达正在接近达成一项入股云提供商Lambda Labs的交易。稍早前,英伟达已经收购了Lambda竞争对手CoreWeave。这笔交易的新资本总额可能达到3亿美元,包括新资本在内,Lambda Labs的估值可能超过10亿美元。报道称,英伟达发言人没有发表评论。...</p>\n\n<a href=\"https://wallstreetcn.com/articles/3693571\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/3f1c866c487eb9e101f73a62d4495ce9","relate_stocks":{"IE0004445015.USD":"JANUS HENDERSON BALANCED \"A2\" (USD) ACC","IE0034235188.USD":"PINEBRIDGE GLOBAL FOCUS EQUITY \"A\" (USD) ACC","LU1242518931.SGD":"Fullerton Lux Funds - Asia Absolute Alpha A Acc SGD","NVDA":"英伟达","LU0053666078.USD":"摩根大通基金-美国股票A(离岸)美元","BK4551":"寇图资本持仓","IE0009356076.USD":"JANUS HENDERSON GLOBAL TECHNOLOGY AND INNOVATION \"A2\" (USD) ACC","BK4579":"人工智能","LU0719512351.SGD":"JPMorgan Funds - US Technology A (acc) 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Beta和Mercato Partners等风投机构那里筹集了7250万美元。英伟达股价今年上涨超过230%,市值超过1万亿美元,数据中心芯片业务推动了其销售和盈利增长。投资者押注,随着英伟达将运行传统CPU的老化服务器替换为将GPU和CPU结合在单个芯片上的服务器,这种增长将持续下去。","news_type":1,"symbols_score_info":{"NVDA":1}},"isVote":1,"tweetType":1,"viewCount":2340,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":194669132685456,"gmtCreate":1688546503713,"gmtModify":1688546506240,"author":{"id":"3454016442520150","authorId":"3454016442520150","name":"中概股的诱惑","avatar":"https://static.tigerbbs.com/579af92b0fbae0801019dac7cfc5abc5","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3454016442520150","authorIdStr":"3454016442520150"},"themes":[],"htmlText":"哈哈哈,华尔街正在找接盘侠,笑死我了,毫不掩饰","listText":"哈哈哈,华尔街正在找接盘侠,笑死我了,毫不掩饰","text":"哈哈哈,华尔街正在找接盘侠,笑死我了,毫不掩饰","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/194669132685456","repostId":"2348501369","repostType":2,"repost":{"id":"2348501369","kind":"highlight","pubTimestamp":1688395560,"share":"https://www.laohu8.com/m/news/2348501369?lang=&edition=full","pubTime":"2023-07-03 22:46","market":"other","language":"zh","title":"NVIDIA现在的股价依然“很便宜” 尽管今年已飙升两倍!","url":"https://stock-news.laohu8.com/highlight/detail?id=2348501369","media":"investing","summary":"Investing.com - Evercore ISI股票分析师于致客户的报告中称,尽管人工智能技术的主要推动者NVIDIA 的股价今年已大幅上升,惟由于盈利增长潜力巨大,其股价仍然很便宜。他们表示NVIDIA仍是“首选股”,并给予其跑赢大市评级,目标价为550美元。NVIDIA股价今年迄今已上升约两倍,因人们预期AI芯片需求可望推动NVIDIA业绩大幅增长。Evercore分析师并不是华尔街唯一给予NVIDIA正面评价的分析师。","content":"<p></p><p>Evercore ISI股票分析师于致客户的报告中称,尽管人工智能(AI)技术的主要推动者NVIDIA (NASDAQ:NVDA)的股价今年已大幅上升,惟由于盈利增长潜力巨大,其股价仍然很便宜。他们表示NVIDIA仍是“首选股”,并给予其跑赢大市评级,目标价为550美元。</p><p>NVIDIA股价今年迄今已上升约两倍,因人们预期AI芯片需求可望推动NVIDIA业绩大幅增长。然而,股价飙升后,部分投资者担心NVIDIA已变得过于昂贵,不过Evercore ISI分析师认为由于增长潜力巨大,该股的实际价格仍处于低位。</p><p>“目前NVIDIA的股价约为425美元,市盈率约为14倍,而我们对每股收益复合年增长率的估计为55%。如果我们的增速假设是正确的,那么NVIDIA的股价实际上仍然很便宜。因此,未来还有很大的空间。”</p><p>分析师还补充道,现在关于NVIDIA约1万亿美元估值的争论主要集中于这是炒作出来的,还是基于现实情况,而分析师认为“现在看到的趋势是基于现实的,我们仍然只是看到了生成式AI的冰山一角。”</p><p>分析师预计NVIDIA到2027年的每股收益将上升至30美元,这意味着相比今年不到8美元的每股收益一致预期,增长潜力巨大。</p><p>Evercore分析师并不是华尔街唯一给予NVIDIA正面评价的分析师。瑞穗分析师也表示,于AI领域,没有公司可以取代NVIDIA,他们预计NVIDIA会继续高速增长。</p><p></p>","source":"hk_investing_stock","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>NVIDIA现在的股价依然“很便宜” 尽管今年已飙升两倍!</title>\n<style 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margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nNVIDIA现在的股价依然“很便宜” 尽管今年已飙升两倍!\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-07-03 22:46 北京时间 <a href=https://hk.investing.com/news/stock-market-news/article-351726><strong>investing</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Evercore ISI股票分析师于致客户的报告中称,尽管人工智能(AI)技术的主要推动者NVIDIA (NASDAQ:NVDA)的股价今年已大幅上升,惟由于盈利增长潜力巨大,其股价仍然很便宜。他们表示NVIDIA仍是“首选股”,并给予其跑赢大市评级,目标价为550美元。NVIDIA股价今年迄今已上升约两倍,因人们预期AI芯片需求可望推动NVIDIA业绩大幅增长。然而,股价飙升后,部分投资者担心...</p>\n\n<a href=\"https://hk.investing.com/news/stock-market-news/article-351726\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://i-invdn-com.investing.com/news/LYNXMPEE141FU_M.jpg","relate_stocks":{"LU0053666078.USD":"摩根大通基金-美国股票A(离岸)美元","IE0004445015.USD":"JANUS HENDERSON BALANCED \"A2\" (USD) ACC","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","LU0127658192.USD":"EASTSPRING INVESTMENTS GLOBAL TECHNOLOGY \"A\" (USD) ACC","LU1551013425.SGD":"Allianz Income and Growth Cl AMg2 DIS H2-SGD","LU0082616367.USD":"摩根大通美国科技A(dist)","BK4549":"软银资本持仓","BK4588":"碎股","IE0009356076.USD":"JANUS HENDERSON GLOBAL TECHNOLOGY AND INNOVATION \"A2\" (USD) ACC","BK4579":"人工智能","IE00BFSS8Q28.SGD":"Janus Henderson Balanced A Inc SGD-H","BK4548":"巴美列捷福持仓","LU0979878070.USD":"FULLERTON LUX FUNDS - ASIA ABSOLUTE ALPHA \"A\" (USD) ACC","LU0353189680.USD":"富国美国全盘成长基金Cl A Acc","LU0348723411.USD":"ALLIANZ GLOBAL HI-TECH GROWTH \"A\" (USD) INC","LU0672654240.SGD":"FTIF - Franklin 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ISI分析师认为由于增长潜力巨大,该股的实际价格仍处于低位。“目前NVIDIA的股价约为425美元,市盈率约为14倍,而我们对每股收益复合年增长率的估计为55%。如果我们的增速假设是正确的,那么NVIDIA的股价实际上仍然很便宜。因此,未来还有很大的空间。”分析师还补充道,现在关于NVIDIA约1万亿美元估值的争论主要集中于这是炒作出来的,还是基于现实情况,而分析师认为“现在看到的趋势是基于现实的,我们仍然只是看到了生成式AI的冰山一角。”分析师预计NVIDIA到2027年的每股收益将上升至30美元,这意味着相比今年不到8美元的每股收益一致预期,增长潜力巨大。Evercore分析师并不是华尔街唯一给予NVIDIA正面评价的分析师。瑞穗分析师也表示,于AI领域,没有公司可以取代NVIDIA,他们预计NVIDIA会继续高速增长。","news_type":1,"symbols_score_info":{"NVDA":1}},"isVote":1,"tweetType":1,"viewCount":2198,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":769328430120976,"gmtCreate":1687960825238,"gmtModify":1687960826388,"author":{"id":"3454016442520150","authorId":"3454016442520150","name":"中概股的诱惑","avatar":"https://static.tigerbbs.com/579af92b0fbae0801019dac7cfc5abc5","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3454016442520150","authorIdStr":"3454016442520150"},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/NVDA\">$英伟达(NVDA)$ </a><v-v 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