谷歌(GOOG.US,GOOGL.US)发布新算法旨在降低内存占用存储概念股应声下跌闪迪(SNDK.US)一度跌8%

智通财经03-25

随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。谷歌(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。谷歌此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩...

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精彩评论

牛cow
03-26
牛cow
想想这么好自己怎么不想用呢？
好东西要一直拿着
03-25
好东西要一直拿着
结果都跌，到底利好了谁
- 天空的星星:
  google 就是搅屎棍

发表看法

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8%","themeId":"76180985c8b7d38577778227ab4663e1","isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"GOOW":0.6,"GOOG":1.95,"GOOX":0.6,"GOOP":0.6,"GOU":0.6,"USJW.SI":0.6,"GOOY":0.6,"GGLL":0.6,"GGLS":0.6},"content_text":"随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。谷歌(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。谷歌此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩效率，解决高维数据处理带来的内存负担；Johnson-Lindenstrauss变换则通过数学降维技术，在保持数据关系不变的前提下大幅缩减数据规模，实现“零额外内存开销”的高效表达；PolarQuant则利用极坐标映射，将数据投射到固定结构中，从而跳过传统数据归一化步骤，进一步降低资源消耗。智通财经APP获悉，谷歌研究科学家Amir Zandieh与公司副总裁兼资深研究员Vahab Mirrokni表示，随着AI在大语言模型与语义搜索等场景中的广泛应用，底层向量量化技术的重要性将持续提升。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。受此消息影响，存储与硬盘相关公司股价在周三早盘普遍下跌。美光科技(MU.US)股价一度下跌约4%，西部数据(WDC.US)一度下跌约4.4%，希捷科技(STX.US)一度下跌约5.6%，而闪迪(SNDK.US)跌幅一度达8%。市场担忧，若AI模型对内存依赖下降，可能削弱对存储芯片与硬盘产品的长期需求。与此同时，闪迪还宣布已与半导体公司Nanya Technology达成私募认购协议，将进行股权投资，显示行业内部仍在加快整合与布局。谷歌表示，TurboQuant相关成果将于今年4月在里约热内卢举行的国际学习表征会议上正式发布。分析人士认为，若相关技术得到广泛应用，可能对AI硬件需求结构产生深远影响，进而重塑存储行业的增长逻辑。","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":"policyRegulatory","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[{"id":546699651666360,"gmtCreate":1774496324723,"gmtModify":1774496327321,"author":{"id":"3555303324340279","authorId":"3555303324340279","name":"牛cow","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":6,"crmLevelSwitch":0,"wearingBadges":[],"authorIdStr":"3555303324340279","idStr":"3555303324340279"},"htmlText":"想想这么好自己怎么不想用呢？","listText":"想想这么好自己怎么不想用呢？","text":"想想这么好自己怎么不想用呢？","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/546699651666360","repostId":2622607755,"repostType":2,"repost":{"id":"2622607755","kind":"news","pubTimestamp":1774449343,"share":"https://www.laohu8.com/m/news/2622607755?lang=zh_CN&edition=full","pubTime":"2026-03-25 22:35","market":"hk","language":"zh","title":"谷歌(GOOG.US,GOOGL.US)发布新算法旨在降低内存占用 存储概念股应声下跌 闪迪(SNDK.US)一度跌8%","url":"https://stock-news.laohu8.com/highlight/detail?id=2622607755","media":"智通财经","summary":"谷歌近日发布一系列新算法，旨在显著降低大语言模型及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。美光科技股价一度下跌约4%，西部数据一度下跌约4.4%，希捷科技一度下跌约5.6%，而闪迪跌幅一度达8%。谷歌表示，TurboQuant相关成果将于今年4月在里约热内卢举行的国际学习表征会议上正式发布。","content":"<html><body><p>随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。</p><p><a href=\"https://laohu8.com/S/GOOGL\">谷歌</a>此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩效率，解决<a href=\"https://laohu8.com/S/02086\">高维</a>数据处理带来的内存负担；Johnson-Lindenstrauss变换则通过数学降维技术，在保持数据关系不变的前提下大幅缩减数据规模，实现“零额外内存开销”的高效表达；PolarQuant则利用极坐标映射，将数据投射到固定结构中，从而跳过传统数据归一化步骤，进一步降低资源消耗。</p><p>智通财经APP获悉，谷歌研究科学家Amir Zandieh与公司副总裁兼资深研究员Vahab Mirrokni表示，随着AI在大语言模型与语义搜索等场景中的广泛应用，底层向量量化技术的重要性将持续提升。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。</p><p>受此消息影响，存储与硬盘相关公司股价在周三早盘普遍下跌。<a href=\"https://laohu8.com/S/MU\">美光科技</a>(MU.US)股价一度下跌约4%，<a href=\"https://laohu8.com/S/WDC\">西部数据</a>(WDC.US)一度下跌约4.4%，<a href=\"https://laohu8.com/S/STX\">希捷科技</a>(STX.US)一度下跌约5.6%，而<a href=\"https://laohu8.com/S/SNDK\">闪迪</a>(SNDK.US)跌幅一度达8%。市场担忧，若AI模型对内存依赖下降，可能削弱对存储芯片与硬盘产品的长期需求。</p><p>与此同时，闪迪还宣布已与半导体公司Nanya Technology达成私募认购协议，将进行股权投资，显示行业内部仍在加快整合与布局。</p><p>谷歌表示，TurboQuant相关成果将于今年4月在里约热内卢举行的国际学习表征会议上正式发布。分析人士认为，若相关技术得到广泛应用，可能对AI硬件需求结构产生深远影响，进而重塑存储行业的增长逻辑。</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\" 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\" 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.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谷歌(GOOG.US,GOOGL.US)发布新算法旨在降低内存占用 存储概念股应声下跌 闪迪(SNDK.US)一度跌8%\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-03-25 22:35 北京时间&nbsp;&nbsp;&nbsp;<a href=http://www.zhitongcaijing.com/content/detail/1419094.html><strong>智通财经</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。谷歌(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。谷歌此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩...</p>\n\n<a href=\"http://www.zhitongcaijing.com/content/detail/1419094.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":{"LU0211326755.USD":"TEMPLETON GLOBAL INCOME \"A\" (USD) ACC","BK4550":"红杉资本持仓","LU1571399168.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"IP\" (USD) ACC","IE00BZ199S13.USD":"BNY MELLON MOBILITY INNOVATION \"B\" (USD) ACC","BK4587":"ChatGPT概念","BK4588":"碎股","LU1720051108.HKD":"ALLIANZ GLOBAL ARTIFICIAL INTELLIGENCE \"AT\" (HKD) ACC","BK4170":"电脑硬件、储存设备及电脑周边","LU1084165304.USD":"FIDELITY WORLD \"A\" (USD) ACC","LU2487616109.SGD":"JPM AMERICA EQUITY \"A\" (SGD) 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\"A\" (USD) ACC","LU2720916845.USD":"BGF GLOBAL UNCONSTRAINED EQUITY \"A2\" (USD) ACC","LU0823434583.USD":"BNP PARIBAS US GROWTH \"C\" (USD) ACC","IE00BYQQ9H92.USD":"BNY MELLON GLOBAL LEADERS \"A\" (USD) ACC","LU0823434740.USD":"BNP PARIBAS US GROWTH \"C\" (USD) INC"},"source_url":"http://www.zhitongcaijing.com/content/detail/1419094.html","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2622607755","content_text":"随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。谷歌(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。谷歌此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩效率，解决高维数据处理带来的内存负担；Johnson-Lindenstrauss变换则通过数学降维技术，在保持数据关系不变的前提下大幅缩减数据规模，实现“零额外内存开销”的高效表达；PolarQuant则利用极坐标映射，将数据投射到固定结构中，从而跳过传统数据归一化步骤，进一步降低资源消耗。智通财经APP获悉，谷歌研究科学家Amir Zandieh与公司副总裁兼资深研究员Vahab Mirrokni表示，随着AI在大语言模型与语义搜索等场景中的广泛应用，底层向量量化技术的重要性将持续提升。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。受此消息影响，存储与硬盘相关公司股价在周三早盘普遍下跌。美光科技(MU.US)股价一度下跌约4%，西部数据(WDC.US)一度下跌约4.4%，希捷科技(STX.US)一度下跌约5.6%，而闪迪(SNDK.US)跌幅一度达8%。市场担忧，若AI模型对内存依赖下降，可能削弱对存储芯片与硬盘产品的长期需求。与此同时，闪迪还宣布已与半导体公司Nanya Technology达成私募认购协议，将进行股权投资，显示行业内部仍在加快整合与布局。谷歌表示，TurboQuant相关成果将于今年4月在里约热内卢举行的国际学习表征会议上正式发布。分析人士认为，若相关技术得到广泛应用，可能对AI硬件需求结构产生深远影响，进而重塑存储行业的增长逻辑。","news_type":1,"symbols_score_info":{"GOOW":0.6,"GOOG":1.95,"GOOX":0.6,"GOOP":0.6,"GOU":0.6,"USJW.SI":0.6,"GOOY":0.6,"GGLL":0.6,"GGLS":0.6}},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"CN"},{"id":546526135498976,"gmtCreate":1774453960134,"gmtModify":1774453962740,"author":{"id":"3537417120281286","authorId":"3537417120281286","name":"好东西要一直拿着","avatar":"https://static.tigerbbs.com/ed03e24159cdfb1a1cc9e0eb75d70106","vip":1,"hat":"https://static.tigerbbs.com/0a8758340a08196056f8bc1e54805193","crmLevel":7,"crmLevelSwitch":0,"wearingBadges":[],"authorIdStr":"3537417120281286","idStr":"3537417120281286"},"htmlText":"结果都跌，到底利好了谁","listText":"结果都跌，到底利好了谁","text":"结果都跌，到底利好了谁","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":1,"repostSize":0,"link":"https://laohu8.com/post/546526135498976","repostId":2622607755,"repostType":2,"repost":{"id":"2622607755","kind":"news","pubTimestamp":1774449343,"share":"https://www.laohu8.com/m/news/2622607755?lang=zh_CN&edition=full","pubTime":"2026-03-25 22:35","market":"hk","language":"zh","title":"谷歌(GOOG.US,GOOGL.US)发布新算法旨在降低内存占用 存储概念股应声下跌 闪迪(SNDK.US)一度跌8%","url":"https://stock-news.laohu8.com/highlight/detail?id=2622607755","media":"智通财经","summary":"谷歌近日发布一系列新算法，旨在显著降低大语言模型及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。美光科技股价一度下跌约4%，西部数据一度下跌约4.4%，希捷科技一度下跌约5.6%，而闪迪跌幅一度达8%。谷歌表示，TurboQuant相关成果将于今年4月在里约热内卢举行的国际学习表征会议上正式发布。","content":"<html><body><p>随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。</p><p><a href=\"https://laohu8.com/S/GOOGL\">谷歌</a>此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩效率，解决<a href=\"https://laohu8.com/S/02086\">高维</a>数据处理带来的内存负担；Johnson-Lindenstrauss变换则通过数学降维技术，在保持数据关系不变的前提下大幅缩减数据规模，实现“零额外内存开销”的高效表达；PolarQuant则利用极坐标映射，将数据投射到固定结构中，从而跳过传统数据归一化步骤，进一步降低资源消耗。</p><p>智通财经APP获悉，谷歌研究科学家Amir Zandieh与公司副总裁兼资深研究员Vahab Mirrokni表示，随着AI在大语言模型与语义搜索等场景中的广泛应用，底层向量量化技术的重要性将持续提升。这些算法有望从根本上改善AI系统的运行效率，并降低对高端存储硬件的依赖。</p><p>受此消息影响，存储与硬盘相关公司股价在周三早盘普遍下跌。<a href=\"https://laohu8.com/S/MU\">美光科技</a>(MU.US)股价一度下跌约4%，<a href=\"https://laohu8.com/S/WDC\">西部数据</a>(WDC.US)一度下跌约4.4%，<a href=\"https://laohu8.com/S/STX\">希捷科技</a>(STX.US)一度下跌约5.6%，而<a href=\"https://laohu8.com/S/SNDK\">闪迪</a>(SNDK.US)跌幅一度达8%。市场担忧，若AI模型对内存依赖下降，可能削弱对存储芯片与硬盘产品的长期需求。</p><p>与此同时，闪迪还宣布已与半导体公司Nanya Technology达成私募认购协议，将进行股权投资，显示行业内部仍在加快整合与布局。</p><p>谷歌表示，TurboQuant相关成果将于今年4月在里约热内卢举行的国际学习表征会议上正式发布。分析人士认为，若相关技术得到广泛应用，可能对AI硬件需求结构产生深远影响，进而重塑存储行业的增长逻辑。</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\" 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\" 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href=http://www.zhitongcaijing.com/content/detail/1419094.html><strong>智通财经</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>随着人工智能技术持续推进，算力与存储需求成为行业关注焦点。谷歌(GOOG.US,GOOGL.US)近日发布一系列新算法，旨在显著降低大语言模型(LLM)及向量搜索引擎运行所需的内存占用，这一举措引发存储产业链股价集体承压。谷歌此次推出的核心技术包括TurboQuant、量化Johnson-Lindenstrauss变换以及PolarQuant。其中，TurboQuant通过优化向量量化过程中的压缩...</p>\n\n<a href=\"http://www.zhitongcaijing.com/content/detail/1419094.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":{"LU0211326755.USD":"TEMPLETON GLOBAL INCOME \"A\" (USD) ACC","BK4550":"红杉资本持仓","LU1571399168.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"IP\" (USD) ACC","IE00BZ199S13.USD":"BNY MELLON MOBILITY INNOVATION \"B\" (USD) ACC","BK4587":"ChatGPT概念","BK4588":"碎股","LU1720051108.HKD":"ALLIANZ GLOBAL ARTIFICIAL INTELLIGENCE \"AT\" (HKD) ACC","BK4170":"电脑硬件、储存设备及电脑周边","LU1084165304.USD":"FIDELITY WORLD \"A\" (USD) ACC","LU2487616109.SGD":"JPM AMERICA EQUITY \"A\" (SGD) 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谷歌(GOOG.US,GOOGL.US)发布新算法旨在降低内存占用 存储概念股应声下跌 闪迪(SNDK.US)一度跌8%

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谷歌(GOOG.US,GOOGL.US)发布新算法旨在降低内存占用存储概念股应声下跌闪迪(SNDK.US)一度跌8%