据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易

Like
Comment
Favorite

据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易

智通财经2025-12-25

据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易。

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Report

Comment

No comments yet

Most Discussed

7x24

All

{"i18n":{"language":"en_US"},"data":{"share":"https://ttm.financial/m/news/2594404736?lang=en_US&edition=fundamental","thumbnail":"","is_english":false,"pubTime":"2025-12-25 04:59","share_image_url":"https://static.laohu8.com/6ca2dcdccfa2217fb20a0351f4efe814","id":"2594404736","market":"us","top_or_hot":-1,"title":"据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易","media":"智通财经","content":"<html><body><div>\n<div>\r\n                  据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易。                </div>\n</div></body></html>","source":"live_zhitongcaijing","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>据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易</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; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\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据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易\n</h2>\n\n<h4 class=\"meta\">\n\n\n2025-12-25 04:59 北京时间&nbsp;&nbsp;&nbsp;<a href=https://www.zhitongcaijing.com/immediately.html?type=usstock><strong>智通财经</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易。</p>\n\n<a href=\"https://www.zhitongcaijing.com/immediately.html?type=usstock\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":null,"symbol_name":null,"start_time":0,"source_url":"https://www.zhitongcaijing.com/immediately.html?type=usstock","article_id":"2594404736","we_media_id":null,"thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2594404736","pubTimestamp":1766609946,"columns":[],"sourceInfo":{"source_id":"live_zhitongcaijing","name":"智通财经网"},"weMediaInfo":null,"summary":"据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易。","collect":0,"end_time":0,"defaultTopTitle":"zhitongcaijing.com","property":[],"viewcount":null,"language":"zh","relate_stocks":{},"translate_title":"According to CNBC: Nvidia (NVDA.US) will acquire artificial intelligence chip startup Groq for approximately US $20 billion, becoming its largest acquisition ever","themeId":"e0cf08c1e26fea4c08ea84f32a6e0445","isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{},"content_text":"据CNBC：英伟达(NVDA.US)将以大约200亿美元收购人工智能芯片初创公司Groq成为其有史以来最大的一笔收购交易。","kind":"live","is_publish_news":false,"is_publish_highlight":false,"is_publish_live":true,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"hasMoreComments":false,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"isCrawlerRequest":true}