大摩评特斯拉(TSLA.US)解散Dojo团队：“DOGE式效率”革命启动百亿AI开支有望重配机器人赛道_老虎社区_美港股上老虎

大摩评特斯拉(TSLA.US)解散Dojo团队：“DOGE式效率”革命启动百亿AI开支有望重配机器人赛道

智通财经2025-08-12

智通财经APP获悉，摩根士丹利发表研报，维持特斯拉(TSLA.US)“增持”评级，目标价为410美元。报告指出，近日有报道称特斯拉已经解散了自研Dojo超算团队，作为优化人工智能(AI)计划成本效益的重要举措。该行认为，这一战略转向或将深化特斯拉与马斯克旗下xAI公司的协同合作，相关资本支出和研发资源有望重新配置，重点突破机器人生产成本优化与制造工艺提升。据报道称，特斯拉正在解散其Dojo...

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Chongpo云霄
·2025-08-12
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track","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"TSLA":1,"TSLL":1,"TSYW.SI":0.6},"content_text":"智通财经APP获悉，摩根士丹利发表研报，维持特斯拉(TSLA.US)“增持”评级，目标价为410美元。报告指出，近日有报道称特斯拉已经解散了自研Dojo超算团队，作为优化人工智能(AI)计划成本效益的重要举措。该行认为，这一战略转向或将深化特斯拉与马斯克旗下xAI公司的协同合作，相关资本支出和研发资源有望重新配置，重点突破机器人生产成本优化与制造工艺提升。据报道称，特斯拉正在解散其Dojo超级计算机团队，团队负责人Peter Bannon将离职，不过特斯拉尚未证实或置评这一消息。据悉，Dojo超级计算机旨在处理特斯拉汽车产生的大量数据和视频，用于训练全自动驾驶(FSD)和Optimus的机器学习模型。知情人士透露，马斯克已下令终止该项目，公司计划增加与英伟达(NVDA.US)、AMD(AMD.US)等外部技术合作伙伴的合作，在计算领域寻求支持，同时与三星电子(SSNLF.US)合作芯片制造。此外，Dojo团队近期约有20名员工离职并加入新成立的DensityAI，剩余成员将被重新分配到其他数据中心和计算项目。摩根士丹利分析师Adam Jonas对此认为，此举蕴含重大战略与财务考量。在他看来，这可能是特斯拉“DOGE式”效率驱动降本计划的一环，旨在削减这项可能耗费巨额资本与运营支出的项目成本。特斯拉二季报已显示，AI计划推高了运营支出，得州超级工厂的培训规模扩大，且2025财年资本支出预计超90亿美元——其中大部分将投向AI相关领域。战略转向的潜在受益者或是马斯克旗下xAI公司。Jonas指出，xAI正承担越来越多特斯拉“AI大脑”开发工作，同时利用X平台社交媒体数据与特斯拉车辆真实行驶数据。收缩Dojo项目或为两家实体深化协作铺平道路。Jonas同时洞察到特斯拉可能正将重心转向机器人技术与边缘推理能力。马斯克屡次强调特斯拉全球车队作为分布式推理网络的“潜在战略价值”。随着Optimus商业化进程加速，分析师认为特斯拉可能将增量资本支出与研发投入转向降低机器人生产成本、优化制造体系——无论是自动驾驶出租车还是人形机器人。特斯拉此次缩减支出时机的选择也耐人寻味。马斯克曾多次提及的GPU短缺困境已大幅缓解，这消除了过去迫使特斯拉急于开发Dojo等自研算力资源的关键制约因素。并且，摩根士丹利美国半导体及英伟达分析师Joe Moore认为，由于英伟达研发投入超过每年150亿美元，且AI投资范围扩展到机架连接、软件和服务领域，开发一种能在主流任务中超越英伟达的ASIC芯片将愈发困难。同时，随着AI任务趋同于复杂推理，定制芯片的性价比优势正在消失。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"corporation","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[{"id":466891092664600,"gmtCreate":1755004041939,"gmtModify":1755004043659,"author":{"id":"4200448461337122","authorId":"4200448461337122","name":"Chongpo云霄","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","vip":1,"crmLevel":2,"crmLevelSwitch":0,"authorIdStr":"4200448461337122","idStr":"4200448461337122"},"htmlText":"什么丧事都能喜办","listText":"什么丧事都能喜办","text":"什么丧事都能喜办","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":1,"repostSize":0,"link":"https://laohu8.com/post/466891092664600","repostId":2558124166,"repostType":2,"repost":{"id":"2558124166","kind":"news","pubTimestamp":1754986589,"share":"https://www.laohu8.com/m/news/2558124166?lang=zh_CN&edition=full","pubTime":"2025-08-12 16:16","market":"hk","language":"zh","title":"大摩评特斯拉(TSLA.US)解散Dojo团队：“DOGE式效率”革命启动 百亿AI开支有望重配机器人赛道","url":"https://stock-news.laohu8.com/highlight/detail?id=2558124166","media":"智通财经","summary":"报告指出，近日有报道称特斯拉已经解散了自研Dojo超算团队，作为优化人工智能计划成本效益的重要举措。该行认为，这一战略转向或将深化特斯拉与马斯克旗下xAI公司的协同合作，相关资本支出和研发资源有望重新配置，重点突破机器人生产成本优化与制造工艺提升。在他看来，这可能是特斯拉“DOGE式”效率驱动降本计划的一环，旨在削减这项可能耗费巨额资本与运营支出的项目成本。特斯拉此次缩减支出时机的选择也耐人寻味。","content":"<html><body><p>智通财经APP获悉，<a href=\"https://laohu8.com/S/MS\">摩根士丹利</a>发表研报，维持<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a>(TSLA.US)“增持”评级，目标价为410美元。报告指出，近日有报道称特斯拉已经解散了自研Dojo超算团队，作为优化人工智能(AI)计划成本效益的重要举措。该行认为，这一战略转向或将深化特斯拉与马斯克旗下xAI公司的协同合作，相关资本支出和研发资源有望重新配置，重点突破机器人生产成本优化与制造工艺提升。</p><p>据报道称，特斯拉正在解散其Dojo超级计算机团队，团队负责人Peter Bannon将离职，不过特斯拉尚未证实或置评这一消息。据悉，Dojo超级计算机旨在处理特斯拉汽车产生的大量数据和视频，用于训练全自动驾驶(FSD)和Optimus的机器学习模型。知情人士透露，马斯克已下令终止该项目，公司计划增加与<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>(NVDA.US)、<a href=\"https://laohu8.com/S/AMD\">AMD</a>(AMD.US)等外部技术合作伙伴的合作，在计算领域寻求支持，同时与<a href=\"https://laohu8.com/S/SSNLF\">三星电子</a>(SSNLF.US)合作芯片制造。此外，Dojo团队近期约有20名员工离职并加入新成立的DensityAI，剩余成员将被重新分配到其他数据中心和计算项目。</p><p>摩根士丹利分析师Adam Jonas对此认为，此举蕴含重大战略与财务考量。在他看来，这可能是特斯拉“DOGE式”效率驱动降本计划的一环，旨在削减这项可能耗费巨额资本与运营支出的项目成本。特斯拉二季报已显示，AI计划推高了运营支出，得州超级工厂的培训规模扩大，且2025财年资本支出预计超90亿美元——其中大部分将投向AI相关领域。</p><p>战略转向的潜在受益者或是马斯克旗下xAI公司。Jonas指出，xAI正承担越来越多特斯拉“AI大脑”开发工作，同时利用X平台社交媒体数据与特斯拉车辆真实行驶数据。收缩Dojo项目或为两家实体深化协作铺平道路。</p><p>Jonas同时洞察到特斯拉可能正将重心转向机器人技术与边缘推理能力。马斯克屡次强调特斯拉全球车队作为分布式推理网络的“潜在战略价值”。随着Optimus商业化进程加速，分析师认为特斯拉可能将增量资本支出与研发投入转向降低机器人生产成本、优化制造体系——无论是自动驾驶出租车还是人形机器人。</p><p>特斯拉此次缩减支出时机的选择也耐人寻味。马斯克曾多次提及的GPU短缺困境已大幅缓解，这消除了过去迫使特斯拉急于开发Dojo等自研算力资源的关键制约因素。</p><p>并且，摩根士丹利美国半导体及英伟达分析师Joe Moore认为，由于英伟达研发投入超过每年150亿美元，且AI投资范围扩展到机架连接、软件和服务领域，开发一种能在主流任务中超越英伟达的ASIC芯片将愈发困难。同时，随着AI任务趋同于复杂推理，定制芯片的性价比优势正在消失。</p></body></html>","source":"stock_zhitongcaijing","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\" 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href=http://www.zhitongcaijing.com/content/detail/1328502.html><strong>智通财经</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>智通财经APP获悉，摩根士丹利发表研报，维持特斯拉(TSLA.US)“增持”评级，目标价为410美元。报告指出，近日有报道称特斯拉已经解散了自研Dojo超算团队，作为优化人工智能(AI)计划成本效益的重要举措。该行认为，这一战略转向或将深化特斯拉与马斯克旗下xAI公司的协同合作，相关资本支出和研发资源有望重新配置，重点突破机器人生产成本优化与制造工艺提升。据报道称，特斯拉正在解散其Dojo...</p>\n\n<a href=\"http://www.zhitongcaijing.com/content/detail/1328502.html\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"SG9999015978.USD":"利安颠覆性创新基金A","TSYW.SI":"TESLA 3xLongSG261006","LU2087621335.USD":"ALLSPRING GLOBAL FACTOR ENHANCED EQUITY \"A\" (USD) ACC","TSLA":"特斯拉","LU0106261372.USD":"SCHRODER ISF US LARGE CAP \"A\" ACC","BK4516":"特朗普概念","IE00B1BXHZ80.USD":"Legg Mason ClearBridge - US Appreciation A Acc USD","IE00BSNM7G36.USD":"NEUBERGER BERMAN SYSTEMATIC GLOBAL SUSTAINABLE VALUE \"A\" (USD) ACC","LU0234572021.USD":"高盛美国核心股票组合Acc","LU2250418816.HKD":"BGF WORLD TECHNOLOGY \"A\" (HKD) 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Jonas对此认为，此举蕴含重大战略与财务考量。在他看来，这可能是特斯拉“DOGE式”效率驱动降本计划的一环，旨在削减这项可能耗费巨额资本与运营支出的项目成本。特斯拉二季报已显示，AI计划推高了运营支出，得州超级工厂的培训规模扩大，且2025财年资本支出预计超90亿美元——其中大部分将投向AI相关领域。战略转向的潜在受益者或是马斯克旗下xAI公司。Jonas指出，xAI正承担越来越多特斯拉“AI大脑”开发工作，同时利用X平台社交媒体数据与特斯拉车辆真实行驶数据。收缩Dojo项目或为两家实体深化协作铺平道路。Jonas同时洞察到特斯拉可能正将重心转向机器人技术与边缘推理能力。马斯克屡次强调特斯拉全球车队作为分布式推理网络的“潜在战略价值”。随着Optimus商业化进程加速，分析师认为特斯拉可能将增量资本支出与研发投入转向降低机器人生产成本、优化制造体系——无论是自动驾驶出租车还是人形机器人。特斯拉此次缩减支出时机的选择也耐人寻味。马斯克曾多次提及的GPU短缺困境已大幅缓解，这消除了过去迫使特斯拉急于开发Dojo等自研算力资源的关键制约因素。并且，摩根士丹利美国半导体及英伟达分析师Joe Moore认为，由于英伟达研发投入超过每年150亿美元，且AI投资范围扩展到机架连接、软件和服务领域，开发一种能在主流任务中超越英伟达的ASIC芯片将愈发困难。同时，随着AI任务趋同于复杂推理，定制芯片的性价比优势正在消失。","news_type":1,"symbols_score_info":{"TSLA":1,"TSLL":1,"TSYW.SI":0.6}},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":466909258858752,"gmtCreate":1755008223119,"gmtModify":1755008484132,"authorId":4147402019253410,"author":{"id":4147402019253410,"idStr":"4147402019253410","authorId":4147402019253410,"name":"毕竟欧神","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":1,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":466891092664600,"type":1,"supId":0,"prevId":0,"content":"评论到位","text":"评论到位","html":"评论到位"}],"langContent":"CN"}],"hasMoreComments":true,"newsSizeData":{"likeSize":2,"commentSize":1,"repostSize":1,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"isCrawlerRequest":true}