美股详情

本页面由Tiger Fintech (Singapore) Pte. Ltd.提供服务

英伟达

141.72

+1.731.24%

盘前：143.301.58+1.12%08:56 EDT

成交量：1.54亿

成交额：218.90亿

市值：3.46万亿

市盈率：45.71

高：143.27

开：142.51

低：141.51

收：139.99

数据加载中...

总览公司新闻公告

AI芯片之王的加冕与威胁：英伟达能否抵御未来挑战？

通信周跟踪：英伟达财报加速GB200出货预期，算力互联行动计划发布

爱立信携手英伟达建设瑞典AI基础设施

影响赚钱NVIDIA真急了！三个月砸近百万美元：疯狂游说反对芯片管制

英伟达推出ProRL方法：强化学习训练至2000步，打造全球最佳1.5B推理AI模型

杰富瑞发布今夏首选股票名单：包括芯片巨头英伟达

老虎资讯综合

期权大单 | 美股的“英超”行情：英伟达被看涨至185美元！概念股CALL飙升

老虎资讯综合

套现20亿美元！英伟达又遭抛售

Yole：英伟达引爆81亿美元CPO市场，重塑AI数据中心格局

讯石光通讯

机构持续看好AI算力板块的投资机会，人工智能AIETF涨0.69%

AMD收购Brium公司加速构建AI硬件领域

英伟达推出Llama Nemotron Nano VL模型，高效处理文档理解任务

英伟达：美国禁令逼走大量人才，大多去了华为

《路透早报》--6月5日

NVIDIA董事Mark A Stevens出售106.08万股

老虎公告助手

美股收盘：三大股指涨跌不一金龙指数涨2%

云端算力竞赛新突破：创纪录英伟达GB200参与MLPerf测试，性能提升超两倍

数据显示，Nvidia芯片在训练大型AI系统方面取得进展

英伟达、CoreWeave、IBM：在MLPerf基准测试中规模最大的NVIDIA GB200 NVL72集群

华尔街见闻

CoreWeave 联合 NVIDIA 和 IBM 搭建 NVIDIA Blackwell GPU 大规模集群

{"basename":"/hans","ssrTDKData":{"titleTemplate":"%s - 老虎证券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","keywords":"老虎证券,老虎证券开户,老虎券商,老虎证券官网,老虎证券app,tigertrade老虎证券,股票,炒股,新加坡股票交易平台,投资,投资理财","social":{"ogDescription":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www-web.itiger.com/hans/stock/NVDA/news?page=4"},"companyName":"老虎证券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"NVDA","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"NVDA\",,,,,undefined,":{"symbol":"NVDA","market":"US","secType":"STK","nameCN":"英伟达","latestPrice":141.72,"timestamp":1749240000000,"preClose":139.99,"halted":0,"volume":153986153,"hourTrading":{"tag":"盘前","latestPrice":143.3005,"preClose":141.72,"latestTime":"08:56 EDT","volume":1844363,"amount":263549605.35795003,"timestamp":1749473786692},"delay":0,"floatShares":23416738560,"shares":24400000000,"eps":3.100725,"marketStatus":"盘前交易","change":1.73,"latestTime":"06-09 08:56:27 EDT","open":142.51,"high":143.27,"low":141.51,"amount":21890308103.158916,"amplitude":0.012572,"askPrice":143.32,"askSize":338,"bidPrice":143.28,"bidSize":52,"shortable":3,"etf":0,"structuredFlag":true,"ttmEps":3.100725,"tradingStatus":1,"nextMarketStatus":{"tag":"开盘","tradingStatus":2,"beginTime":1749475800000},"marketStatusCode":1,"adr":0,"adrRate":0,"listingDate":916894800000,"exchange":"NASDAQ","adjPreClose":141.72,"dividendRate":0.000282,"preHourTrading":{"tag":"盘前","latestPrice":143.3005,"preClose":141.72,"latestTime":"08:56 EDT","volume":1844363,"amount":263549605.35795003,"timestamp":1749473786692},"postHourTrading":{"tag":"盘后","latestPrice":141.8997,"preClose":141.688,"latestTime":"19:59 EDT","volume":5663529,"amount":802731099.279081,"timestamp":1749254399655},"volumeRatio":0.6660368811463212,"optionData":{"bulkOrders":[{"symbol":"NVDA","call":true,"expireDate":1749182400000,"strike":"144.0","timestamp":1749230751340,"price":0.04,"volume":16690,"amount":66760,"type":"+"},{"symbol":"NVDA","call":true,"expireDate":1749787200000,"strike":"155.0","timestamp":1749230751340,"price":0.11,"volume":16690,"amount":183590,"type":"+"}]},"impliedVol":0.407,"impliedVolPercentile":0.0562},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"NVDA\",,,,,undefined,":{"symbol":"NVDA","floatShares":23416738560,"roa":"53.24%","roe":"115.46%","lyrEps":2.96803,"volumeRatio":0.6660368811463212,"shares":24400000000,"dividePrice":0.04,"high":143.27,"amplitude":0.012572,"preClose":139.99,"low":141.51,"week52Low":86.62,"pbRate":"41.24","psRate":"23.28","week52High":153.13,"institutionHeld":0.6318,"latestPrice":141.72,"committee":-0.733333,"eps":3.100725,"divideRate":0.000282,"volume":153986153,"delay":0,"ttmEps":3.100725,"open":142.51,"prevYearClose":134.29,"prevWeekClose":141.72,"prevMonthClose":135.13,"prevQuarterClose":108.38,"fiveDayClose":135.13,"twentyDayClose":117.37,"sixtyDayClose":115.74},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"NVDA\",pageSize:20,pageCount:4,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2541006042","title":"AI芯片之王的加冕与威胁：英伟达能否抵御未来挑战？","url":"https://stock-news.laohu8.com/highlight/detail?id=2541006042","media":"爱集微","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541006042?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 16:36","pubTimestamp":1749112589,"startTime":"0","endTime":"0","summary":"然而，替代芯片开发的努力目前对英伟达的主导地位几乎没有影响。该公司表示，AI需求仍在增长，预计未来几个季度将增加数据中心投资。AMD和英特尔在AI芯片方面与英伟达相比如何？全球第二大计算机GPU公司AMD于2023年发布了其Instinct系列的新版本，瞄准了英伟达占据主导地位的市场。地缘政治虽然竞争对手迄今为止在AI领域对英伟达的影响甚微，但美国政府已大幅削弱了其增长。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605163922950fbf2f&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605163922950fbf2f&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["IE00BWXC8680.SGD","LU1712237335.SGD","LU2065171402.SGD","SNVD.UK","LU0048584097.USD","LU2750360641.GBP","2NVD.UK","LU2168563687.JPY","IE00BKPKM429.USD","LU1429558221.USD","LU0170899867.USD","LU2106854487.HKD","LU0097036916.USD","BK4529","LU2552382215.SGD","LU1674673428.USD","LU2413666699.HKD","LU0820561818.USD","NVD3.UK","NVDD","LU0072462426.USD","LU2290526834.HKD","LU0965509101.SGD","IE00BJLML261.HKD","LU0466842654.USD","LU0345769631.USD","3NVD.UK","LU1145028129.USD","NVDU","NVDS","LU1244550221.USD","LU2087625088.SGD","LU2491050154.USD","LU2264538146.SGD","LU0444973449.USD","NVDY","NVD2.UK","NVDS.UK","SGXZ51526630.SGD","LU2023250330.USD","SG9999015978.USD","IE00B4JS1V06.HKD","LU1804176565.USD","NVDA","LU1084165304.USD","LU2125909916.SGD","NVIW.SI"],"gpt_icon":1},{"id":"2541447210","title":"通信周跟踪：英伟达财报加速GB200出货预期，算力互联行动计划发布","url":"https://stock-news.laohu8.com/highlight/detail?id=2541447210","media":"山西证券","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541447210?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 16:07","pubTimestamp":1749110829,"startTime":"0","endTime":"0","summary":"投资要点行业动向：1）英伟达发布FY26Q1财报，Blackwell加速出货弥补了H20收入损失，网络恢复环比增长。英伟达最新财季收入达到440亿美元，同比增长69%，其中数据中心收入达到390亿美元，同比增长73%。英伟达宣布GB200将进一步提高产量，并且GB300预计在二季度晚些时候量产发货。3）5月30日工信部印发《算力互联互通行动计划》，以点成面带动国产算力发展。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605160747950fb5bf&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605160747950fb5bf&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["NVDA"],"gpt_icon":1},{"id":"2541604234","title":"爱立信携手英伟达建设瑞典AI基础设施","url":"https://stock-news.laohu8.com/highlight/detail?id=2541604234","media":"今日中国","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541604234?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 16:05","pubTimestamp":1749110700,"startTime":"0","endTime":"0","summary":"日前，包括爱立信、阿斯利康、萨博、瑞典北欧斯安银行和瓦伦堡投资公司在内的瑞典联盟合作伙伴，将共同构建由一家合资公司运营的AI基础设施，为行业合作伙伴提供安全及主权计算接入服务。该基础设施投用后，将成为瑞典最大的企业级AI超级计算机。　　为支持瑞典联盟与英伟达的共同目标，英伟达计划在瑞典建立其首个AI技术中心，以推动与行业合作伙伴共同的AI研究。","market":"other","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/jjxw/2025-06-05/doc-ineyzhcf8347384.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU2237438978.USD","NVD2.UK","NVDS","LU2168564495.EUR","BK4588","NVDA","LU0882574139.USD","3NVD.UK","ERIC","LU1935043023.USD","NVD3.UK","LU0081259029.USD","LU2237957902.USD","LU2065170008.USD","LU2191332357.HKD","LU0203201768.USD","NVDY","LU1633808545.USD","LU2065171311.SGD","LU0820561909.HKD","LU2458330243.SGD","LU0308772762.SGD","LU1861215975.USD","LU2087621335.USD","SGXZ99366536.SGD","LU0006306889.USD","LU0238689110.USD","LU1548497426.USD","LU0251132253.USD","NVIW.SI","LU2125909759.SGD","NVDS.UK","BK4527","2NVD.UK","SG9999000418.SGD","LU1244550221.USD","LU0109392836.USD","NVDD","LU1084165304.USD","NVDU","SG9999015978.USD","LU2237957811.SGD","LU0082616367.USD","LU1244550577.SGD","LU2361045086.USD","LU0157215616.USD","SNVD.UK"],"gpt_icon":1},{"id":"2541041312","title":"影响赚钱NVIDIA真急了！三个月砸近百万美元：疯狂游说反对芯片管制","url":"https://stock-news.laohu8.com/highlight/detail?id=2541041312","media":"快科技","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541041312?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 15:02","pubTimestamp":1749106932,"startTime":"0","endTime":"0","summary":"据最新消息，该公司在过去三个月内花费了近百万美元用于游说美国政府，试图缓解这些限制措施对其业务的冲击。美国政府的芯片出口限制政策对NVIDIA的营收产生了明显影响，2025年第一季度，NVIDIA因无法向中国出口H20等AI芯片，导致其损失高达55亿美元。为了应对这一困境，NVIDIA加大了游说力度，公开文件显示，该公司在第一季度花费了近百万美元游说美国政府，试图推动更有利的出口管制政策。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605152224a49b0334&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605152224a49b0334&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU2089985449.USD","LU2360106780.USD","NVDS.UK","LU2286300806.USD","NVDY","IE00BQXX3F31.USD","LU1037948897.HKD","GB00BDT5M118.USD","NVDU","NVDS","LU1803068979.SGD","LU0965509101.SGD","LU1983260115.SGD","LU0672654240.SGD","LU1116320737.USD","LU2092937148.SGD","LU2168564149.EUR","LU1267930573.SGD","IE00BKPKM429.USD","NVD3.UK","LU1720051017.SGD","LU0128525929.USD","LU0868494708.USD","LU2092627202.USD","NVDD","LU0238689110.USD","2NVD.UK","LU0154236417.USD","LU1868836757.USD","LU0823414551.USD","LU2125909759.SGD","LU1935043023.USD","NVDA","LU1064131342.USD","LU2552382132.HKD","IE00B4JS1V06.HKD","LU0820561909.HKD","NVD2.UK","BK4543","NVIW.SI","LU1861127337.USD","LU1366192091.USD","3NVD.UK","BK4533","SNVD.UK","LU2242649171.HKD","LU0048584097.USD"],"gpt_icon":0},{"id":"2541952046","title":"英伟达推出ProRL方法：强化学习训练至2000步，打造全球最佳1.5B推理AI模型","url":"https://stock-news.laohu8.com/highlight/detail?id=2541952046","media":"IT之家","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541952046?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 14:38","pubTimestamp":1749105521,"startTime":"0","endTime":"0","summary":"IT之家 6 月 5 日消息，科技媒体 marktechpost 昨日 发布博文，报道称英伟达推出 ProRL 强化学习方法，并开发出全球最佳的 1.5B 参数推理模型 Nemotron-Research-Reasoning-Qwen-1.5B。ProRL 方法的突破与应用英伟达研究团队为解决上述问题，推出 ProRL 方法，延长强化学习训练时间至超过 2000 步，并将训练数据扩展至数学、编程、STEM、逻辑谜题和指令遵循等多个领域，涵盖 13.6 万个样本。这是全球最佳的 1.5B 参数推理模型，在多项基准测试中超越基础模型 DeepSeek-R1-1.5B，甚至优于更大的 DeepSeek-R1-7B。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8jwEQqsDntT","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"fenghuang_stock","symbols":["LU0128525929.USD","SNVD.UK","NVD2.UK","LU1868836591.USD","LU0342679015.USD","LU2125909247.SGD","IE00B1BXHZ80.USD","IE00B4JS1V06.HKD","LU1035775433.USD","NVDD","LU0106261372.USD","BK4585","LU2403377893.USD","SG9999014559.SGD","LU0154236417.USD","LU2756315318.SGD","3NVD.UK","NVIW.SI","NVD3.UK","NVDA","LU0289961442.SGD","LU1267930730.SGD","LU0708994859.HKD","LU2430703095.HKD","LU1720051017.SGD","NVDY","LU2168564495.EUR","SG9999002224.SGD","LU0724617625.USD","NVDS","IE00BK4W5L77.USD","NVDU","LU2462157665.USD","BK4532","LU2433249047.HKD","NVDS.UK","BK4549","BK4579","2NVD.UK","LU2097344357.USD","SG9999001424.SGD","LU1935042488.USD","LU2077746001.SGD","LU2506951792.HKD","LU1814569148.SGD","LU2471134952.CNY","LU1815336760.USD"],"gpt_icon":1},{"id":"1187618283","title":"杰富瑞发布今夏首选股票名单：包括芯片巨头英伟达","url":"https://stock-news.laohu8.com/highlight/detail?id=1187618283","media":"老虎资讯综合","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1187618283?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 14:33","pubTimestamp":1749105216,"startTime":"0","endTime":"0","summary":"随着新一个交易月(6月)的开始，杰富瑞的分析师分享了他们在夏季即将到来之际的首选股票名单。以下表格列出了其中10只股票：杰富瑞今夏十大首选股票公司名称股票代码目标价 $英伟达$ NVDA$185 $德康医疗$DXCM$110 $第一资本$COF$230 $卡特彼勒$ CAT$425 $GE HEALTHCARE TECHNOLOGIES INC$ GEHC$95 $吉利德科学$ GILD$130 $国际香料香精$IFF$89 $微软$ MSFT$550 $Saia Inc.$ SAIA$350 $PVH Corp$ PVH$105来源：Jefferies芯片巨头英伟达位列推荐名单。该股年内涨幅达5%，杰富瑞185美元的目标价预示其有31%上行空间。","market":"us","thumbnail":"https://community-static.tradeup.com/news/16bac18bf70d1d1d05103f6e5f67024f","type":0,"news_type":0,"thumbnails":["https://community-static.tradeup.com/news/16bac18bf70d1d1d05103f6e5f67024f"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"2bed90ed8c9cd1cace4d9d8a9b4c9d9b","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"1","news_top_title":"杰富瑞发布今夏首选股票名单：包括芯片巨头英伟达","news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["IFF","SAIA","PVH","DXCM","MSFT","CAT","GEHC","COF","GILD","NVDA"],"gpt_icon":1},{"id":"1189822055","title":"期权大单 | 美股的“英超”行情：英伟达被看涨至185美元！概念股CALL飙升","url":"https://stock-news.laohu8.com/highlight/detail?id=1189822055","media":"老虎资讯综合","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1189822055?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 14:26","pubTimestamp":1749104806,"startTime":"0","endTime":"0","summary":"周三美股期权市场成交41,845,343张合约。","market":"us","thumbnail":"https://static.tigerbbs.com/7308276753c5ff6ceaac8e2cceebffd3","type":0,"news_type":0,"thumbnails":["https://static.tigerbbs.com/7308276753c5ff6ceaac8e2cceebffd3"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"2bed90ed8c9cd1cace4d9d8a9b4c9d9b","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["APLD","NVDA","CRWV"],"gpt_icon":1},{"id":"2541383010","title":"套现20亿美元！英伟达又遭抛售","url":"https://stock-news.laohu8.com/highlight/detail?id=2541383010","media":"芯工厂","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541383010?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 12:18","pubTimestamp":1749097107,"startTime":"0","endTime":"0","summary":"英伟达董事Mark Stevens在本周卖出逾100万股股票，此时正值股价摆脱年初低迷表现并强势反弹。文件显示，Stevens这批售股是分别在周一、周二进行操作，套现近1.5亿美元。现年65岁的史蒂文斯身价约98亿美元，主要是来自英伟达股票、投资组合以及对NBA球队金州勇士的持股。数据显示，2025年迄今，内部人士仅进行了少数几笔交易，总价值约3000万美元的交易，直到Stevens本次出售才有大动作的抛售。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605122651a6fb2e6c&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605122651a6fb2e6c&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["IE00BMPRXQ63.HKD","LU0266013472.USD","IE0034235303.USD","NVIW.SI","LU1868836591.USD","LU1551013342.USD","LU0444971666.USD","LU2403377893.USD","3NVD.UK","NVD3.UK","LU1989764748.USD","SGXZ81514606.USD","LU2125909593.SGD","LU2092627202.USD","LU0466842654.USD","LU1935042215.USD","LU0289961442.SGD","LU1917777945.USD","NVDA","NVDS.UK","NVDY","IE00B19Z8W00.USD","IE00B19Z9505.USD","LU0061474960.USD","LU0267386448.USD","SG9999015358.SGD","LU1814569148.SGD","SG9999002232.USD","NVD2.UK","BK4554","SNVD.UK","LU2211815571.USD","LU0157215616.USD","LU0640476718.USD","LU1267930730.SGD","LU0823414478.USD","LU2089985449.USD","LU1935043023.USD","IE00BKVL7J92.USD","2NVD.UK","LU1861220033.SGD","NVDS","LU2290526834.HKD","LU1623119135.USD","NVDD","NVDU","LU1974910355.USD"],"gpt_icon":1},{"id":"2541520011","title":"Yole：英伟达引爆81亿美元CPO市场，重塑AI数据中心格局","url":"https://stock-news.laohu8.com/highlight/detail?id=2541520011","media":"讯石光通讯","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541520011?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 10:10","pubTimestamp":1749089423,"startTime":"0","endTime":"0","summary":"-导读-英伟达硅光子CPO技术推动AI数据中心升级。Yole预测CPO市场预计从2024年的4600万美元增长至2030年的81亿美元，年复合增长率达137%。而在纵向扩展的AI网络中，CPO取代铜缆，提供更优的GPU间互联，满足AI训练和超算需求。英伟达、TSMC、Broadcom、Coherent等巨头主导市场，推动AI负载需求。随着AI需求增长，CPO正重塑数据中心架构，横向扩展聚焦成本与规模，纵向扩展追求性能与定制化，成为下一代互联技术的核心。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605102315a6fb099b&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605102315a6fb099b&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"2","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU2286300806.USD","BK4581","LU0347712357.USD","NVDU","NVDS","NVDA","LU0820561818.USD","LU0061474960.USD","3NVD.UK","NVIW.SI","IE00BQXX3F31.USD","IE00BMPRXQ63.HKD","2NVD.UK","LU2250418816.HKD","LU1069344957.HKD","NVDD","NVDY","LU1084165304.USD","LU1674673428.USD","LU0476273544.USD","BK4534","NVD3.UK","SG9999014559.SGD","LU0965509010.AUD","SGXZ99366536.SGD","LU1868836914.USD","LU2237957811.SGD","LU0823414551.USD","LU1699723380.USD","LU0320765059.SGD","LU0353189680.USD","IE00B3M56506.USD","NVDS.UK","LU0127658192.USD","LU0345768153.USD","LU1718418525.SGD","LU1242518931.SGD","LU0345770993.USD","IE00BKVL7J92.USD","LU2089985449.USD","NVD2.UK","SNVD.UK","LU0256863902.USD","LU1551013425.SGD","LU2552382058.USD","IE00BDCRKT87.USD","LU1923622291.USD"],"gpt_icon":1},{"id":"2541019198","title":"机构持续看好AI算力板块的投资机会，人工智能AIETF涨0.69%","url":"https://stock-news.laohu8.com/highlight/detail?id=2541019198","media":"证券之星","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541019198?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 10:04","pubTimestamp":1749089057,"startTime":"0","endTime":"0","summary":"6月5日，三大股指早盘小幅下跌，而人工智能板块逆势上涨。截止上午9:55，人工智能AIETF涨0.69%。近期，英伟达披露了2026财年一季度财报。相关机构指出，英伟达在H20出口受限的背景下交出亮眼的业绩答卷。随着全球越来越多国家和地区加大AI基础设施建设，算力投资和升级是确定性的主旋律。中信证券表示，中期维度，我们仍持续看好AI算力板块的投资机会。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605101729a49aab5c&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605101729a49aab5c&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["IE00BMPRXQ63.HKD","LU1868836757.USD","IE00BMPRXN33.USD","NVIW.SI","LU1868836591.USD","LU1551013342.USD","LU0444971666.USD","LU2065170008.USD","3NVD.UK","BK4503","NVD3.UK","LU2381873111.SGD","LU0889565833.HKD","LU0057025933.USD","LU0238689110.USD","LU1084165304.USD","LU2756315318.SGD","LU1244550221.USD","IE00BZ199S13.USD","LU2250418816.HKD","IE0004091025.USD","BK4543","NVDA","LU0256863811.USD","BK4527","NVDS.UK","IE00BJTD4V19.USD","NVDY","SG9999002232.USD","LU1778281490.HKD","NVD2.UK","LU0345770993.USD","LU0345768740.USD","SNVD.UK","LU2087625088.SGD","LU1720051017.SGD","LU2461242641.AUD","2NVD.UK","LU0957791311.USD","NVDS","LU0006306889.USD","LU1804176565.USD","LU0096362180.USD","NVDD","BK4567","LU2505996681.GBP","NVDU"],"gpt_icon":1},{"id":"2541019905","title":"AMD收购Brium公司 加速构建AI硬件领域","url":"https://stock-news.laohu8.com/highlight/detail?id=2541019905","media":"环球网","labels":["corporation","merge"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541019905?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 10:01","pubTimestamp":1749088918,"startTime":"0","endTime":"0","summary":"6月5日消息，半导体行业巨头AMD于当地时间周三宣布，成功收购人工智能软件优化领域的初创企业Brium，此举旨在强化其在人工智能硬件领域的竞争力，进一步推动开放型AI软件生态系统的建设。在AMD发布的官方新闻稿中，公司明确表示，收购Brium是其践行“构建高性能、开放式AI软件生态系统，赋能开发者并推动技术创新”承诺的关键一步。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605100316950f5641&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":"13b03b2888ea788257703f7b6a7ec295","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605100316950f5641&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation,merge","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["GFS","BK4614","LU0127658192.USD","BK4573","LU2264538146.SGD","IE00BMPRXN33.USD","BK4566","LU1852331112.SGD","LU0390134368.USD","LU1923623000.USD","LU1880398554.USD","LU0823421333.USD","LU0889565833.HKD","BK4588","IE0009356076.USD","IE00B5949003.HKD","LU0198837287.USD","LU0719512351.SGD","LU1951198990.SGD","BK4532","BK4575","LU2250418816.HKD","BK4543","BK4512","LU2360106780.USD","NVDA","LU1803068979.SGD","LU2054465674.USD","LU1242518857.USD","LU0109392836.USD","LU1316542783.SGD","IE00BMPRXR70.SGD","BK4585","LU0642271901.SGD","LU0979878070.USD","BK4529","BK4554","LU1242518931.SGD","BK4534","LU1988902786.USD","IE0004445239.USD","LU2458330243.SGD","LU0823421416.USD","BK4141","LU0823434583.USD","LU0056508442.USD","LU1951200564.SGD","LU1880398471.USD","LU2458330169.SGD","AMD","LU0082616367.USD"],"gpt_icon":1},{"id":"2541901580","title":"英伟达推出Llama Nemotron Nano VL模型，高效处理文档理解任务","url":"https://stock-news.laohu8.com/highlight/detail?id=2541901580","media":"DoNews","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541901580?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 08:11","pubTimestamp":1749082263,"startTime":"0","endTime":"0","summary":"科技媒体marktechpost报道，英伟达近日推出专为文档理解任务优化的视觉-语言模型Llama Nemotron Nano VL。该模型基于Llama 3.1架构，融合CRadioV2-H视觉编码器和Llama 3.1 8B语言模型，支持多页文档的视觉与文本分析，上下文长度达16K。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605081426950f2e48&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250605081426950f2e48&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0096364046.USD","LU1721428933.USD","LU0072462426.USD","LU2242649171.HKD","NVDU","IE00BFSS8Q28.SGD","LU2097344357.USD","BK4550","LU2065171402.SGD","2NVD.UK","LU0347712357.USD","LU0289961442.SGD","LU0056508442.USD","NVDY","LU0708994859.HKD","LU1803068979.SGD","3NVD.UK","NVD2.UK","LU1868836591.USD","LU2237438978.USD","LU2462157665.USD","IE00BQXX3C00.GBP","NVDS","SNVD.UK","BK4579","LU1145028129.USD","LU1261432733.SGD","LU2092937148.SGD","LU0942090050.USD","LU1674673691.USD","NVDD","IE00BYXW3230.USD","LU0170899867.USD","LU0079474960.USD","LU1429558221.USD","LU1066051225.USD","LU1852331112.SGD","NVD3.UK","NVIW.SI","NVDA","LU1066051811.HKD","LU0943347566.SGD","IE00BKVL7J92.USD","LU1814569148.SGD","NVDS.UK","LU0348723411.USD","LU0345770308.USD"],"gpt_icon":0},{"id":"2541018098","title":"英伟达：美国禁令逼走大量人才，大多去了华为","url":"https://stock-news.laohu8.com/highlight/detail?id=2541018098","media":"观察者网","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541018098?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 08:11","pubTimestamp":1749082260,"startTime":"0","endTime":"0","summary":"近日，英伟达首席科学家比尔·戴利表示，美国对中国实施的人工智能出口管制禁令，让中国获得很大的发展空间，过去替英伟达撰写程序的中国人工智能研究人员，现在都在帮华为写程序。戴利指出，虽然中国在全球AI硬件市场的占比不比美国，但已成功吸引并培养了大量AI研发人才。戴利表示，华为已经提供相当可靠的解决方案，成长迅速。同时，截止4月27日，第一季度中国市场占英伟达收入的份额为12.5%，相比于前两个月的14%和15%进一步下滑。","market":"other","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/roll/2025-06-05/doc-ineyyrfp8572500.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU2106854487.HKD","NVD3.UK","BK4612","SG9999015945.SGD","LU0708994859.HKD","LU1923622614.USD","LU0289960550.SGD","IE00BD6J9T35.USD","2NVD.UK","LU2265009873.SGD","LU2361044949.HKD","SG9999015341.SGD","LU2746668461.USD","SG9999015978.USD","LU2750360641.GBP","LU1366192091.USD","NVDS.UK","NVDU","LU1623119135.USD","NVIW.SI","SNVD.UK","LU2249611893.SGD","BK4605","LU1935043536.SGD","NVDY","LU0175139822.USD","LU0234572021.USD","LU0265550359.USD","LU1935043023.USD","LU2326559502.SGD","LU0466842654.USD","LU0965509010.AUD","3NVD.UK","LU1366333091.USD","LU2750360997.AUD","LU1435385759.SGD","NVDA","LU2458330169.SGD","LU0157215616.USD","LU1718418525.SGD","NVDD","NVDS","BK4533","HK0000320223.HKD","LU2286300806.USD","NVD2.UK","LU2097344431.USD"],"gpt_icon":1},{"id":"2541010092","title":"《路透早报》--6月5日","url":"https://stock-news.laohu8.com/highlight/detail?id=2541010092","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541010092?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 07:22","pubTimestamp":1749079359,"startTime":"0","endTime":"0","summary":"梅赛德斯-奔驰生产主管Joerg Burzer表示，他正在与主要供应商商谈建立库存等“缓冲机制”，以防范潜在的供应威胁。梅赛德斯目前尚未受到短缺的影响。nL6T3S70P4* 欧盟贸易执委谢夫乔维奇表示，他和中国的对口官员已同意尽快澄清稀土出口问题。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20250604:nL6T3S70YN:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2168564065.EUR","IE00BZ199S13.USD","NVDD","LU0061474705.USD","LU0719512351.SGD","LU0823414478.USD","NVDS","LU1674673428.USD","LU1917777945.USD","LU0124676726.USD","LU1974910355.USD","NVIW.SI","SG9999000418.SGD","IE00BMPRXR70.SGD","IE00B7KXQ091.USD","LU1064131342.USD","2NVD.UK","HK0000320264.USD","LU1323610961.USD","LU1989772840.SGD","NVDY","ADP","NVD3.UK","IE00B4JS1V06.HKD","LU0289739343.SGD","LU2360107168.USD","LU0690374961.EUR","IE00B775H168.HKD","3NVD.UK","LU1242518931.SGD","LU1951198990.SGD","LU1119994496.HKD","LU2106854487.HKD","LU1066051225.USD","NVDS.UK","SNVD.UK","LU0354030511.USD","LU1066051498.USD","LU1280957306.USD","NVDU","LU2461242641.AUD","LU2463028550.USD","NVDA","LU1804176565.USD","LU1084165304.USD","NVD2.UK","IE00BQXX3D17.EUR"],"gpt_icon":1},{"id":"1126077959","title":"NVIDIA董事Mark A Stevens出售106.08万股","url":"https://stock-news.laohu8.com/highlight/detail?id=1126077959","media":"老虎公告助手","labels":["insiderTrades"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1126077959?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 05:56","pubTimestamp":1749074180,"startTime":"0","endTime":"0","summary":"NVIDIA的董事Mark A Stevens于2025年6月2日和3日分别减持了125,836股和935,000股共106.08万股普通股票。这些股票通过“第三千禧信托”和“Envy信托”间接持有，出售价格分别为137.7879和140.9151美元。董事的大规模减持可能被市场视作该公司股价可能过高的信号，投资者需保持关注。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"insiderTrades","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["NVDA"],"gpt_icon":0},{"id":"2541096645","title":"美股收盘：三大股指涨跌不一 金龙指数涨2%","url":"https://stock-news.laohu8.com/highlight/detail?id=2541096645","media":"美港电讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541096645?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 04:01","pubTimestamp":1749067310,"startTime":"0","endTime":"0","summary":null,"market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.ushknews.com/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"live_meigang","symbols":["NVD2.UK","TQQQ","2NVD.UK","MNQmain","BABA","NVDY","TSLA","USJW.SI","ALBmain","NVDS","000008.SH","DJX","SPY","TSLL","QQQ","NVIW.SI","OEF","SSO","QID","NVD3.UK","NVDA","ESmain","SNVD.UK","NQmain","DXD","MESmain",".IXIC","UDOW","3NVD.UK","NVDL","SPXU",".SPX","03086","SH","SQQQ","DDM","YMmain",".DJI","NDX","TSYW.SI","NVD","QLD","NVDX","159632","ARTL","HXC","OEX","PSQ","MYMmain","UPRO"],"gpt_icon":0},{"id":"2541956410","title":"云端算力竞赛新突破：创纪录英伟达GB200参与MLPerf测试，性能提升超两倍","url":"https://stock-news.laohu8.com/highlight/detail?id=2541956410","media":"市场资讯","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541956410?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 02:38","pubTimestamp":1749062280,"startTime":"0","endTime":"0","summary":"CoreWeave称，此次测试中构成了迄今为止在MLPerf基准测试中规模最大的英伟达GB200 NVL72集群，这一规模比之前唯一来自云服务商的提交结果大34倍。相比其他参与测试者提交的相似规模集群测试结果，CoreWeave的英伟达GB200集群将训练性能提升超过两倍。本周三，开放式产业联盟MLCommons发布了MLPerf Training v5.0基准测试结果，展现了AI领域的快速增长和演进。MLCommons披露，本轮MLPerf Training v5.0测试收到来自20个提交机构的201项性能测试结果，创纪录的超过200项提交结果显示，行业参与度创新高。","market":"other","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-05/doc-ineyxyis3988596.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["IE00BKPKM429.USD","GB00BDT5M118.USD","LU2433249047.HKD","NVDS","BK4605","LU0689472784.USD","LU0719512351.SGD","LU1119994496.HKD","IE0004445239.USD","LU0823414551.USD","LU0965509010.AUD","LU1861127337.USD","LU1674673428.USD","SNVD.UK","LU0096364046.USD","LU0820562030.AUD","NVDA","LU0256863811.USD","NVDY","LU2552382058.USD","NVDS.UK","LU2471134796.USD","LU0157215616.USD","NVIW.SI","IE0034235303.USD","NVD3.UK","LU1232071149.USD","LU0323591593.USD","IE0004445015.USD","LU2023250330.USD","IE00BJTD4V19.USD","BK4527","LU1720051017.SGD","LU1935042991.SGD","IE00B1XK9C88.USD","NVD2.UK","LU0683600562.USD","2NVD.UK","NVDD","3NVD.UK","IE00BQXX3F31.USD","LU0965509101.SGD","LU0345769631.USD","NVDU","LU2750360997.AUD","LU0787776722.HKD","IE00BZ199S13.USD"],"gpt_icon":1},{"id":"2541106060","title":"数据显示，Nvidia芯片在训练大型AI系统方面取得进展","url":"https://stock-news.laohu8.com/highlight/detail?id=2541106060","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2541106060?lang=zh_cn&edition=fundamental","pubTime":"2025-06-05 00:01","pubTimestamp":1749052886,"startTime":"0","endTime":"0","summary":"数据显示，Nvidia芯片在训练大型AI系统方面取得进展路透旧金山6月4日 - 周三发布的新数据显示，NvidiaNVDA.O最新芯片在训练大型人工智能系统方面取得进展，训练大型语言模型所需的芯片数量大幅下降。MLCommons是一家发布AI系统指标效能结果的非营利组织，该组织发布了有关Nvidia和AMDAMD.O 等业者的芯片在训练处理大量数据学习的AI系统的新数据。数据显示，若要比前述成绩更快完成训练，使用Nvidia前一代芯片的数量得是Blackwell芯片的三倍以上。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"d4c47665e9380e67d90c2eecc38e4ea8","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20250604:nL6T3S707U:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2462157665.USD","LU2491050154.USD","LU1235294995.USD","LU0234570918.USD","NVD3.UK","LU1084165304.USD","LU1989764664.SGD","2NVD.UK","LU1564329032.USD","IE00BFSS8Q28.SGD","LU0320765489.SGD","NVIW.SI","NVD2.UK","LU1804176565.USD","HK0000320223.HKD","SNVD.UK","NVDU","NVDS","LU0528227936.USD","LU2065170008.USD","BK4614","LU1989772923.USD","LU0289739343.SGD","LU1127390331.HKD","NVDA","LU0321505439.SGD","LU0511384066.AUD","IE00B19Z3B42.SGD","IBM","LU2097344431.USD","LU1670711123.USD","LU1153585028.USD","NVDS.UK","LU0683600562.USD","LU1923622291.USD","LU0882574139.USD","NVDD","LU0274383776.USD","LU0347712357.USD","LU1674673691.USD","LU0719512351.SGD","LU1699723380.USD","NVDY","3NVD.UK"],"gpt_icon":1},{"id":"2540067854","title":"英伟达、CoreWeave、IBM：在MLPerf基准测试中规模最大的NVIDIA GB200 NVL72集群","url":"https://stock-news.laohu8.com/highlight/detail?id=2540067854","media":"华尔街见闻","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2540067854?lang=zh_cn&edition=fundamental","pubTime":"2025-06-04 23:29","pubTimestamp":1749050972,"startTime":"0","endTime":"0","summary":"更多消息，持续更新中","market":"us","thumbnail":"https://wpimg-wscn.awtmt.com/d0/24/94/-1-2-.png","type":0,"news_type":0,"thumbnails":["https://wpimg-wscn.awtmt.com/d0/24/94/-1-2-.png"],"rights":{"source":"wallstreetcn_hot_news","url":"https://wallstreetcn.com/articles/3748472","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3748472","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"wallstreetcn_hot_news","symbols":["LU0347712357.USD","NVD2.UK","LU1974910355.USD","2NVD.UK","NVDY","BK4534","CRWV","LU1280957306.USD","LU2491050071.SGD","NVDS","LU2756315664.SGD","LU2092627202.USD","NVDS.UK","LU0861579265.USD","NVIW.SI","BK4550","LU1035775433.USD","SG9999015978.USD","NVDD","IBM","LU1037948541.HKD","NVD3.UK","LU1674673691.USD","SNVD.UK","BK4527","BK4549","LU0124676726.USD","LU1119994496.HKD","3NVD.UK","LU0943347566.SGD","NVDU","LU0107464264.USD","IE00BHPRN162.USD","SG9999014575.USD","LU2065171402.SGD","LU0342679015.USD","LU2433249047.HKD","IE0004445015.USD","LU2458330169.SGD","LU0957791311.USD","LU1712237335.SGD","LU0077335932.USD","LU0106261372.USD","LU1718418525.SGD","NVDA","IE00B1XK9C88.USD","LU0985320562.USD"],"gpt_icon":1},{"id":"2540620280","title":"CoreWeave 联合 NVIDIA 和 IBM 搭建 NVIDIA Blackwell GPU 大规模集群","url":"https://stock-news.laohu8.com/highlight/detail?id=2540620280","media":"foresightnews","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2540620280?lang=zh_cn&edition=fundamental","pubTime":"2025-06-04 23:21","pubTimestamp":1749050460,"startTime":"0","endTime":"0","summary":null,"market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://foresightnews.pro/foresightnews/news/detail/74562","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"foresightnews_live","symbols":["LU0965509283.SGD","LU2168564065.EUR","LU0096364046.USD","SQQQ","LU1674673428.USD","LU2471134952.CNY","IE00BMPRXN33.USD","NVDX","NVDU","QQQ","LU2420271590.USD","LU0097036916.USD","MNQmain","LU0061474960.USD","LU2087625088.SGD","2NVD.UK","NVDL","NQmain","NVDY",".IXIC","TQQQ","3NVD.UK","NVD2.UK","UBER","USJW.SI","LU0528227936.USD","PSQ","NVDS","NDX","SNVD.UK","ARTL","QID","03086","TSYW.SI","CRWV","LU0323591593.USD","NVD","NVDD","159632","USAW.SI","LU1883839398.USD","LU2236285917.USD","NVD3.UK","LU0109392836.USD","LU1989772923.USD","NVIW.SI","NVDA","NVDS.UK","IBM","QLD"],"gpt_icon":0}],"pageSize":20,"totalPage":20,"pageCount":4,"totalSize":400,"code":"91000000","status":"200"}],"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/NVDA\",params:#limit:5,,,undefined,":[{"date":"2025-06-11","symbol":"NVDA","amount":0.01,"announcedDate":"2025-05-28","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-06-11","defaultRemindTime":1749648600000,"name":"英伟达","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-07-03","payableDate":"2025-06-11","currency":"USD","dateTimestamp":1749614400000,"payDate":"2025-07-03"},{"market":"US","date":"2025-05-28","symbol":"NVDA","fiscalQuarterEnding":"2025/04","expectedEps":0.8,"name":null,"time":"盘后","type":"earning","dateTimestamp":1748404800000,"reportTimeType":"post","actualEps":0.77},{"date":"2025-03-12","symbol":"NVDA","amount":0.01,"announcedDate":"2025-02-26","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-03-12","defaultRemindTime":1741786200000,"name":"英伟达","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-04-02","payableDate":"2025-03-12","currency":"USD","dateTimestamp":1741752000000,"payDate":"2025-04-02"},{"market":"US","date":"2025-02-26","symbol":"NVDA","fiscalQuarterEnding":"2025/01","expectedEps":0.79,"name":null,"time":"盘后","type":"earning","dateTimestamp":1740546000000,"reportTimeType":"post","actualEps":0.85},{"date":"2024-12-05","symbol":"NVDA","amount":0.01,"announcedDate":"2024-11-20","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2024-12-05","defaultRemindTime":1733409000000,"name":"英伟达","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2024-12-27","payableDate":"2024-12-05","currency":"USD","dateTimestamp":1733374800000,"payDate":"2024-12-27"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"NVDA\",market:\"US\",,,undefined,":[{"executeDate":"2015-08-18","recordDate":"2015-08-20","paymentDate":"2015-09-11","value":0.0975,"currency":"USD"},{"executeDate":"2015-11-18","recordDate":"2015-11-20","paymentDate":"2015-12-14","value":0.115,"currency":"USD"},{"executeDate":"2016-02-29","recordDate":"2016-03-02","paymentDate":"2016-03-23","value":0.115,"currency":"USD"},{"executeDate":"2016-05-24","recordDate":"2016-05-26","paymentDate":"2016-06-20","value":0.115,"currency":"USD"},{"executeDate":"2016-08-23","recordDate":"2016-08-25","paymentDate":"2016-09-16","value":0.115,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"NVDA\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.3385,"buy":0.5538,"hold":0.0923,"sell":0.0154,"strongSell":0,"meanLabel":"BUY","meanPercent":0.5538,"analysts":65,"updateTime":1749096000000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/NVDA\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"NVDA","date":"2025-06-06","current":44.491052,"percent":0.110024,"low":31.574698,"twenty":52.556528,"median":74.700615,"eighty":95.679805,"high":245.063223,"avg":82.579605,"sd":40.681518,"marketCap":3415756000000},"quantilePoints":[{"date":"2020-06-12","current":66.221082,"twenty":27.857507,"median":42.618659,"eighty":92.757323,"marketCap":219787772659},{"date":"2020-06-19","current":68.65827,"twenty":27.97327,"median":43.127324,"eighty":92.757323,"marketCap":227876799276},{"date":"2020-06-26","current":67.870586,"twenty":28.056401,"median":43.371546,"eighty":92.757323,"marketCap":225262475084},{"date":"2020-07-02","current":71.260409,"twenty":28.110653,"median":43.798794,"eighty":92.757323,"marketCap":236513296136},{"date":"2020-07-10","current":77.687912,"twenty":28.1609,"median":44.331434,"eighty":92.757323,"marketCap":257846181543},{"date":"2020-07-17","current":75.628813,"twenty":28.243621,"median":44.791943,"eighty":92.757323,"marketCap":251012030538},{"date":"2020-07-24","current":75.576919,"twenty":28.443783,"median":44.909058,"eighty":92.757323,"marketCap":250839792709},{"date":"2020-07-31","current":78.692442,"twenty":28.578141,"median":45.070568,"eighty":92.757323,"marketCap":261180213807},{"date":"2020-08-07","current":83.027485,"twenty":28.713903,"median":45.252879,"eighty":92.757323,"marketCap":275568223889},{"date":"2020-08-14","current":85.729706,"twenty":28.892668,"median":45.460476,"eighty":92.757323,"marketCap":284536893706},{"date":"2020-08-21","current":92.393383,"twenty":28.962399,"median":46.040761,"eighty":92.757323,"marketCap":313028780000},{"date":"2020-08-28","current":95.775227,"twenty":29.068645,"median":46.125839,"eighty":92.94795,"marketCap":324486470000},{"date":"2020-09-04","current":91.949026,"twenty":29.145458,"median":46.262,"eighty":93.503923,"marketCap":311523300000},{"date":"2020-09-11","current":88.61271,"twenty":29.233031,"median":46.512228,"eighty":93.503923,"marketCap":300219860000},{"date":"2020-09-18","current":88.895736,"twenty":29.372686,"median":46.736583,"eighty":93.811352,"marketCap":301178754033},{"date":"2020-09-25","current":93.887769,"twenty":29.63837,"median":47.207195,"eighty":93.879017,"marketCap":318091759931},{"date":"2020-10-02","current":95.262492,"twenty":29.782994,"median":47.639204,"eighty":94.468733,"marketCap":322749322548},{"date":"2020-10-09","current":100.371212,"twenty":29.887116,"median":47.869856,"eighty":94.753153,"marketCap":340057665326},{"date":"2020-10-16","current":100.726744,"twenty":30.018311,"median":48.041527,"eighty":95.079926,"marketCap":341262207382},{"date":"2020-10-23","current":99.113176,"twenty":30.166793,"median":48.367239,"eighty":95.671485,"marketCap":335795439588},{"date":"2020-10-30","current":91.409985,"twenty":30.296696,"median":48.811656,"eighty":95.846785,"marketCap":309697028370},{"date":"2020-11-06","current":106.200112,"twenty":30.364466,"median":49.268682,"eighty":96.136556,"marketCap":359805977910},{"date":"2020-11-13","current":96.974515,"twenty":30.364466,"median":49.540582,"eighty":96.382183,"marketCap":328549655835},{"date":"2020-11-20","current":84.697514,"twenty":30.389943,"median":49.809611,"eighty":96.430169,"marketCap":324052690000},{"date":"2020-11-27","current":85.820321,"twenty":30.504513,"median":50.102604,"eighty":96.430169,"marketCap":328348550000},{"date":"2020-12-04","current":87.74236,"twenty":30.712152,"median":51.308901,"eighty":96.430169,"marketCap":335702270000},{"date":"2020-12-11","current":84.215387,"twenty":30.781033,"median":52.2188,"eighty":96.430169,"marketCap":322208070000},{"date":"2020-12-18","current":85.88989,"twenty":31.142183,"median":52.726945,"eighty":96.430169,"marketCap":328614720000},{"date":"2020-12-24","current":84.089192,"twenty":31.400471,"median":52.872803,"eighty":96.430169,"marketCap":321725250000},{"date":"2020-12-31","current":84.485572,"twenty":31.660598,"median":53.136881,"eighty":96.430169,"marketCap":323241800000},{"date":"2021-01-08","current":85.92063,"twenty":32.34174,"median":53.301875,"eighty":96.430169,"marketCap":328732330000},{"date":"2021-01-15","current":83.220392,"twenty":32.498135,"median":53.604642,"eighty":96.430169,"marketCap":318401220000},{"date":"2021-01-22","current":88.740591,"twenty":32.8792,"median":53.830741,"eighty":96.430169,"marketCap":339521500000},{"date":"2021-01-29","current":84.063306,"twenty":33.070027,"median":54.16159,"eighty":96.430169,"marketCap":321626210000},{"date":"2021-02-05","current":87.954302,"twenty":33.185481,"median":55.049539,"eighty":96.430169,"marketCap":336513160000},{"date":"2021-02-12","current":96.82189,"twenty":33.250623,"median":55.379886,"eighty":96.638714,"marketCap":370440550000},{"date":"2021-02-19","current":96.597005,"twenty":33.551059,"median":56.111897,"eighty":96.700103,"marketCap":369580140000},{"date":"2021-02-26","current":78.513296,"twenty":33.821098,"median":56.86701,"eighty":96.700103,"marketCap":340119600000},{"date":"2021-03-05","current":71.340074,"twenty":34.16596,"median":57.404093,"eighty":96.708435,"marketCap":309045200000},{"date":"2021-03-12","current":73.598523,"twenty":34.597421,"median":57.948353,"eighty":96.708435,"marketCap":318828800000},{"date":"2021-03-19","current":73.539843,"twenty":34.906418,"median":58.477477,"eighty":96.708435,"marketCap":318574600000},{"date":"2021-03-26","current":73.502632,"twenty":35.897031,"median":59.075505,"eighty":96.700103,"marketCap":318413400000},{"date":"2021-04-01","current":79.070037,"twenty":36.67632,"median":59.748055,"eighty":96.700103,"marketCap":342531400000},{"date":"2021-04-09","current":82.754608,"twenty":37.389003,"median":60.126271,"eighty":96.708435,"marketCap":358492962240},{"date":"2021-04-16","current":91.446715,"twenty":37.62983,"median":60.621253,"eighty":96.708435,"marketCap":396147170947},{"date":"2021-04-23","current":87.727068,"twenty":37.871177,"median":60.903011,"eighty":96.708435,"marketCap":380033659155},{"date":"2021-04-30","current":86.257312,"twenty":38.049734,"median":61.520189,"eighty":96.708435,"marketCap":373666674773},{"date":"2021-05-07","current":85.123746,"twenty":38.278503,"median":62.213128,"eighty":96.708435,"marketCap":368756068051},{"date":"2021-05-14","current":81.852353,"twenty":38.380123,"median":62.389544,"eighty":96.708435,"marketCap":354584393137},{"date":"2021-05-21","current":86.155305,"twenty":38.380123,"median":62.730635,"eighty":96.708435,"marketCap":373224782407},{"date":"2021-05-28","current":75.992668,"twenty":38.380123,"median":62.943857,"eighty":96.708435,"marketCap":404812940000},{"date":"2021-06-04","current":82.232024,"twenty":38.380123,"median":63.18754,"eighty":96.708435,"marketCap":438049990000},{"date":"2021-06-11","current":83.387503,"twenty":38.380123,"median":63.436945,"eighty":96.708435,"marketCap":444205230000},{"date":"2021-06-18","current":87.193101,"twenty":38.380123,"median":63.711787,"eighty":96.708435,"marketCap":464477650000},{"date":"2021-06-25","current":89.028068,"twenty":38.380123,"median":63.961742,"eighty":96.708435,"marketCap":474252520000},{"date":"2021-07-02","current":95.839317,"twenty":38.380123,"median":64.185118,"eighty":96.708435,"marketCap":510536040000},{"date":"2021-07-09","current":93.796176,"twenty":38.380123,"median":64.418324,"eighty":96.741287,"marketCap":499652230000},{"date":"2021-07-16","current":84.95816,"twenty":38.380123,"median":64.759411,"eighty":96.741287,"marketCap":452572120000},{"date":"2021-07-23","current":91.493403,"twenty":38.380123,"median":65.077688,"eighty":96.741287,"marketCap":487385360000},{"date":"2021-07-30","current":91.217398,"twenty":38.380123,"median":65.440875,"eighty":96.741287,"marketCap":485915080000},{"date":"2021-08-06","current":95.273272,"twenty":38.380123,"median":66.061312,"eighty":96.741287,"marketCap":507520720000},{"date":"2021-08-13","current":94.440578,"twenty":38.380123,"median":66.468156,"eighty":96.741287,"marketCap":503084960000},{"date":"2021-08-20","current":73.405956,"twenty":38.380123,"median":67.062515,"eighty":96.741287,"marketCap":519567360000},{"date":"2021-08-27","current":79.824041,"twenty":38.380123,"median":67.566635,"eighty":96.741287,"marketCap":564994560000},{"date":"2021-09-03","current":80.55401,"twenty":38.380123,"median":67.870586,"eighty":96.741287,"marketCap":570161280000},{"date":"2021-09-10","current":79.266866,"twenty":38.380123,"median":68.009589,"eighty":96.741287,"marketCap":561050880000},{"date":"2021-09-17","current":77.228596,"twenty":38.380123,"median":68.467373,"eighty":96.741287,"marketCap":546624000000},{"date":"2021-09-24","current":77.866878,"twenty":38.380123,"median":68.663686,"eighty":96.741287,"marketCap":551141760000},{"date":"2021-10-01","current":73.145001,"twenty":38.380123,"median":68.882833,"eighty":96.741287,"marketCap":517720320000},{"date":"2021-10-08","current":73.458853,"twenty":38.380123,"median":68.929563,"eighty":96.741287,"marketCap":519941760000},{"date":"2021-10-15","current":77.094592,"twenty":38.380123,"median":69.704176,"eighty":96.741287,"marketCap":545675520000},{"date":"2021-10-22","current":80.141418,"twenty":38.380123,"median":70.411563,"eighty":96.741287,"marketCap":567240960000},{"date":"2021-10-29","current":90.159977,"twenty":38.380123,"median":70.411563,"eighty":96.741287,"marketCap":638152320000},{"date":"2021-11-05","current":104.918045,"twenty":38.380123,"median":70.817682,"eighty":96.824624,"marketCap":742609920000},{"date":"2021-11-12","current":107.167901,"twenty":38.380123,"median":70.978143,"eighty":96.982617,"marketCap":758534400000},{"date":"2021-11-19","current":100.32971,"twenty":38.380123,"median":70.978143,"eighty":97.257063,"marketCap":823305600000},{"date":"2021-11-26","current":95.975506,"twenty":38.380123,"median":70.978143,"eighty":97.323917,"marketCap":787575000000},{"date":"2021-12-03","current":93.507799,"twenty":38.380123,"median":70.978143,"eighty":97.418008,"marketCap":767325000000},{"date":"2021-12-10","current":91.999756,"twenty":38.380123,"median":70.978143,"eighty":97.432703,"marketCap":754950000000},{"date":"2021-12-17","current":84.697173,"twenty":38.380123,"median":70.978143,"eighty":97.432703,"marketCap":695025000000},{"date":"2021-12-23","current":90.299781,"twenty":38.380123,"median":70.978143,"eighty":97.432703,"marketCap":741000000000},{"date":"2021-12-31","current":89.60212,"twenty":38.380123,"median":70.978143,"eighty":97.323917,"marketCap":735275000000},{"date":"2022-01-07","current":83.009383,"twenty":38.383511,"median":71.119276,"eighty":97.313359,"marketCap":681175000000},{"date":"2022-01-14","current":82.080185,"twenty":38.383511,"median":71.119276,"eighty":97.313359,"marketCap":673550000000},{"date":"2022-01-21","current":71.21009,"twenty":38.383511,"median":71.094116,"eighty":97.313359,"marketCap":584350000000},{"date":"2022-01-28","current":69.583232,"twenty":38.383511,"median":70.638601,"eighty":97.241838,"marketCap":571000000000},{"date":"2022-02-04","current":74.089081,"twenty":38.383511,"median":70.638601,"eighty":96.935722,"marketCap":607975000000},{"date":"2022-02-11","current":72.961857,"twenty":38.383511,"median":70.638601,"eighty":96.73736,"marketCap":598725000000},{"date":"2022-02-18","current":60.60808,"twenty":38.383511,"median":70.205838,"eighty":96.638714,"marketCap":591050000000},{"date":"2022-02-25","current":61.928322,"twenty":38.383511,"median":69.511813,"eighty":96.552221,"marketCap":603925000000},{"date":"2022-03-04","current":58.798195,"twenty":38.383511,"median":68.707687,"eighty":96.430169,"marketCap":573400000000},{"date":"2022-03-11","current":56.655045,"twenty":38.383511,"median":68.401659,"eighty":95.967927,"marketCap":552500000000},{"date":"2022-03-18","current":67.977049,"twenty":38.383511,"median":67.988665,"eighty":95.769717,"marketCap":662912180000},{"date":"2022-03-25","current":71.160943,"twenty":38.383511,"median":67.970015,"eighty":95.264648,"marketCap":693961520000},{"date":"2022-04-01","current":68.642609,"twenty":38.383511,"median":67.970015,"eighty":94.957282,"marketCap":669402720000},{"date":"2022-04-08","current":59.409571,"twenty":38.383511,"median":67.151183,"eighty":94.753153,"marketCap":579362140000},{"date":"2022-04-14","current":54.627305,"twenty":38.383511,"median":66.88481,"eighty":94.463033,"marketCap":532725480000},{"date":"2022-04-22","current":50.108532,"twenty":38.383511,"median":66.174748,"eighty":93.812307,"marketCap":488658400597},{"date":"2022-04-29","current":47.623005,"twenty":38.383511,"median":65.470697,"eighty":93.494306,"marketCap":464419541679},{"date":"2022-05-06","current":47.951669,"twenty":38.383511,"median":65.066499,"eighty":93.155791,"marketCap":467624680049},{"date":"2022-05-13","current":45.463575,"twenty":38.383511,"median":64.62671,"eighty":92.931782,"marketCap":443360780988},{"date":"2022-05-20","current":42.865069,"twenty":38.383511,"median":64.244148,"eighty":92.749636,"marketCap":418020155755},{"date":"2022-05-27","current":49.802299,"twenty":38.383511,"median":63.843711,"eighty":92.623001,"marketCap":471030139566},{"date":"2022-06-03","current":49.561375,"twenty":38.383511,"median":63.480689,"eighty":92.380341,"marketCap":468751486507},{"date":"2022-06-10","current":44.938824,"twenty":38.383511,"median":63.194738,"eighty":92.017451,"marketCap":425031395938},{"date":"2022-06-17","current":42.042449,"twenty":38.383511,"median":62.853056,"eighty":91.753779,"marketCap":397637478938},{"date":"2022-06-24","current":45.341245,"twenty":38.380123,"median":62.719383,"eighty":91.473566,"marketCap":428837497752},{"date":"2022-07-01","current":38.449778,"twenty":38.380123,"median":62.327034,"eighty":91.275794,"marketCap":363658004195},{"date":"2022-07-08","current":41.931253,"twenty":38.380123,"median":62.208007,"eighty":91.046098,"marketCap":396585792911},{"date":"2022-07-15","current":41.730043,"twenty":38.380123,"median":61.687366,"eighty":90.274951,"marketCap":394682742004},{"date":"2022-07-22","current":45.852215,"twenty":38.380123,"median":60.903011,"eighty":89.97654,"marketCap":433670245449},{"date":"2022-07-29","current":48.086712,"twenty":38.380123,"median":60.715172,"eighty":89.699129,"marketCap":454804126572},{"date":"2022-08-05","current":50.273555,"twenty":38.380123,"median":60.18509,"eighty":89.077188,"marketCap":475487285111},{"date":"2022-08-12","current":49.532253,"twenty":38.380123,"median":59.923202,"eighty":88.731335,"marketCap":468476044928},{"date":"2022-08-19","current":47.255395,"twenty":38.380123,"median":59.409571,"eighty":88.425323,"marketCap":446941521509},{"date":"2022-08-26","current":52.596917,"twenty":38.380123,"median":58.998154,"eighty":88.310287,"marketCap":407152733472},{"date":"2022-09-02","current":43.879839,"twenty":38.380123,"median":58.630817,"eighty":87.995072,"marketCap":339673830000},{"date":"2022-09-09","current":46.259195,"twenty":38.380123,"median":58.245275,"eighty":87.793732,"marketCap":358092430000},{"date":"2022-09-16","current":42.436148,"twenty":38.380123,"median":57.936135,"eighty":87.60387,"marketCap":328498220000},{"date":"2022-09-23","current":40.243281,"twenty":38.380123,"median":57.390792,"eighty":87.222542,"marketCap":311523240000},{"date":"2022-09-30","current":39.031095,"twenty":38.380123,"median":56.997652,"eighty":86.959307,"marketCap":302139710000},{"date":"2022-10-07","current":38.828529,"twenty":38.380123,"median":56.655045,"eighty":86.706595,"marketCap":300571640000},{"date":"2022-10-14","current":36.098699,"twenty":38.301662,"median":56.072603,"eighty":86.421848,"marketCap":279440030000},{"date":"2022-10-21","current":40.082514,"twenty":38.278503,"median":55.397296,"eighty":86.266307,"marketCap":310278740000},{"date":"2022-10-28","current":44.481108,"twenty":38.278503,"median":55.168843,"eighty":86.009289,"marketCap":344328260000},{"date":"2022-11-04","current":45.51645,"twenty":38.278503,"median":54.847459,"eighty":85.804487,"marketCap":352342840000},{"date":"2022-11-11","current":52.496968,"twenty":38.278503,"median":54.58482,"eighty":85.514866,"marketCap":406379030000},{"date":"2022-11-18","current":63.658803,"twenty":38.278503,"median":54.007227,"eighty":85.093216,"marketCap":379215490000},{"date":"2022-11-25","current":67.21583,"twenty":38.278503,"median":54.007227,"eighty":84.845266,"marketCap":400404700000},{"date":"2022-12-02","current":69.719382,"twenty":38.278503,"median":54.007227,"eighty":84.570212,"marketCap":415318360000},{"date":"2022-12-09","current":70.235792,"twenty":38.278503,"median":54.007227,"eighty":84.246315,"marketCap":418394610000},{"date":"2022-12-16","current":68.459344,"twenty":38.278503,"median":54.007227,"eighty":84.046755,"marketCap":407812310000},{"date":"2022-12-23","current":62.820154,"twenty":38.278503,"median":54.007227,"eighty":83.713845,"marketCap":374219660000},{"date":"2022-12-30","current":60.37444,"twenty":38.278503,"median":54.007227,"eighty":83.478299,"marketCap":359650540000},{"date":"2023-01-06","current":61.386602,"twenty":38.278503,"median":54.681091,"eighty":83.478299,"marketCap":365679990000},{"date":"2023-01-13","current":69.814402,"twenty":38.278503,"median":55.082538,"eighty":83.478299,"marketCap":415884390000},{"date":"2023-01-20","current":73.697799,"twenty":38.278503,"median":55.259459,"eighty":83.478299,"marketCap":439017790000},{"date":"2023-01-27","current":84.133398,"twenty":38.278503,"median":55.333997,"eighty":83.528436,"marketCap":501182650000},{"date":"2023-02-03","current":87.169884,"twenty":38.278503,"median":55.362475,"eighty":83.713845,"marketCap":519271000000},{"date":"2023-02-10","current":87.851544,"twenty":38.278503,"median":56.15119,"eighty":84.046755,"marketCap":523331650000},{"date":"2023-02-17","current":88.359691,"twenty":38.278503,"median":56.856856,"eighty":84.199855,"marketCap":526358680000},{"date":"2023-02-24","current":131.463544,"twenty":38.278503,"median":57.151307,"eighty":84.452288,"marketCap":574232760000},{"date":"2023-03-03","current":134.873489,"twenty":38.278503,"median":57.743633,"eighty":84.772465,"marketCap":589127400000},{"date":"2023-03-10","current":129.651305,"twenty":38.278503,"median":58.179558,"eighty":85.050535,"marketCap":566316900000},{"date":"2023-03-17","current":145.233173,"twenty":38.278503,"median":58.477477,"eighty":85.335731,"marketCap":634378500000},{"date":"2023-03-24","current":151.18364,"twenty":38.278503,"median":58.932625,"eighty":85.711271,"marketCap":660370140000},{"date":"2023-03-31","current":156.817953,"twenty":38.287536,"median":59.125967,"eighty":85.896038,"marketCap":684980820000},{"date":"2023-04-06","current":151.759492,"twenty":38.278503,"median":59.409571,"eighty":86.138753,"marketCap":662885460000},{"date":"2023-04-14","current":149.399629,"twenty":38.269471,"median":59.942631,"eighty":86.309994,"marketCap":652577580000},{"date":"2023-04-21","current":153.018462,"twenty":38.260438,"median":60.18509,"eighty":86.449029,"marketCap":668384640000},{"date":"2023-04-28","current":153.707225,"twenty":38.260438,"median":60.60808,"eighty":86.684592,"marketCap":671393160000},{"date":"2023-05-05","current":155.604148,"twenty":38.245933,"median":60.792658,"eighty":86.805379,"marketCap":679678920000},{"date":"2023-05-12","current":161.806522,"twenty":38.245933,"median":60.971547,"eighty":87.132056,"marketCap":706770889925},{"date":"2023-05-19","current":179.358493,"twenty":38.245933,"median":61.687366,"eighty":87.269292,"marketCap":783437898070},{"date":"2023-05-26","current":195.972148,"twenty":38.24046,"median":62.204733,"eighty":87.60387,"marketCap":939294506241},{"date":"2023-06-02","current":205.208329,"twenty":38.24046,"median":62.325582,"eighty":87.762679,"marketCap":983563520621},{"date":"2023-06-09","current":198.706883,"twenty":38.24046,"median":62.701385,"eighty":87.953184,"marketCap":952402091504},{"date":"2023-06-16","current":220.084256,"twenty":38.24046,"median":62.822864,"eighty":88.277329,"marketCap":1054863838196},{"date":"2023-06-23","current":222.00373,"twenty":38.234988,"median":62.943857,"eighty":88.381822,"marketCap":1064063879173},{"date":"2023-06-30","current":210.63652,"twenty":38.298267,"median":63.32417,"eighty":88.438886,"marketCap":1009580840804},{"date":"2023-07-07","current":217.246323,"twenty":38.312162,"median":63.480689,"eighty":88.737506,"marketCap":1041261627073},{"date":"2023-07-14","current":237.235689,"twenty":38.312162,"median":63.843711,"eighty":89.126307,"marketCap":1137070655962},{"date":"2023-07-21","current":234.877625,"twenty":38.312162,"median":64.244148,"eighty":89.685735,"marketCap":1125768455084},{"date":"2023-07-28","current":236.838378,"twenty":38.312162,"median":64.586274,"eighty":89.911406,"marketCap":1135166346405},{"date":"2023-08-04","current":229.691948,"twenty":38.312162,"median":65.001562,"eighty":90.155035,"marketCap":1100913505669},{"date":"2023-08-11","current":218.716888,"twenty":38.312162,"median":65.280495,"eighty":90.895677,"marketCap":1048310045564},{"date":"2023-08-18","current":223.647151,"twenty":38.373348,"median":65.589111,"eighty":91.232368,"marketCap":1071940795978},{"date":"2023-08-25","current":112.957774,"twenty":38.46005,"median":66.075598,"eighty":91.439369,"marketCap":1166401969400},{"date":"2023-09-01","current":118.058154,"twenty":38.46005,"median":66.410514,"eighty":91.586214,"marketCap":1219068500000},{"date":"2023-09-08","current":110.609403,"twenty":38.482971,"median":66.693528,"eighty":91.762324,"marketCap":1142152700000},{"date":"2023-09-15","current":109.03067,"twenty":38.649997,"median":67.067781,"eighty":92.070535,"marketCap":1125850700000},{"date":"2023-09-22","current":98.11349,"twenty":39.066464,"median":67.746862,"eighty":92.362978,"marketCap":1013119900000},{"date":"2023-09-29","current":103.069756,"twenty":39.323519,"median":68.0104,"eighty":92.688749,"marketCap":1064298300000},{"date":"2023-10-06","current":106.894596,"twenty":39.353433,"median":68.227992,"eighty":92.88704,"marketCap":1103793600000},{"date":"2023-10-13","current":112.293386,"twenty":39.907075,"median":68.469226,"eighty":93.114584,"marketCap":1159541500000},{"date":"2023-10-20","current":100.70644,"twenty":40.060364,"median":68.681415,"eighty":93.480851,"marketCap":1039894700000},{"date":"2023-10-27","current":96.460604,"twenty":40.128628,"median":69.180622,"eighty":93.618176,"marketCap":996052200000},{"date":"2023-11-03","current":104.067228,"twenty":40.249946,"median":69.583317,"eighty":93.950391,"marketCap":1074598200000},{"date":"2023-11-10","current":112.305346,"twenty":40.58582,"median":70.033359,"eighty":94.735518,"marketCap":1159665000000},{"date":"2023-11-17","current":118.357157,"twenty":40.924889,"median":70.354108,"eighty":94.944965,"marketCap":1222156000000},{"date":"2023-11-24","current":62.473778,"twenty":41.299652,"median":70.626554,"eighty":95.015625,"marketCap":1180067200000},{"date":"2023-12-01","current":61.158293,"twenty":41.510868,"median":70.626554,"eighty":95.015625,"marketCap":1155219000000},{"date":"2023-12-08","current":60.930764,"twenty":41.930194,"median":70.519058,"eighty":94.999581,"marketCap":1150921200000},{"date":"2023-12-15","current":63.224363,"twenty":42.220077,"median":70.519058,"eighty":94.999581,"marketCap":1194245000000},{"date":"2023-12-22","current":64.061253,"twenty":42.36541,"median":70.519058,"eighty":94.999581,"marketCap":1210053000000},{"date":"2023-12-29","current":64.756917,"twenty":42.577997,"median":70.626554,"eighty":95.015625,"marketCap":1223193400000},{"date":"2024-01-05","current":62.764074,"twenty":42.76647,"median":70.638601,"eighty":95.03167,"marketCap":1185550600000},{"date":"2024-01-12","current":71.687405,"twenty":43.125548,"median":70.729759,"eighty":95.03167,"marketCap":1354103400000},{"date":"2024-01-19","current":74.675361,"twenty":43.328833,"median":71.0702,"eighty":95.047714,"marketCap":1410542900000},{"date":"2024-01-26","current":80.572815,"twenty":43.502183,"median":71.235249,"eighty":95.03167,"marketCap":1521939900000},{"date":"2024-02-02","current":82.416586,"twenty":43.726232,"median":71.681906,"eighty":95.03167,"marketCap":1556766900000},{"date":"2024-02-09","current":91.065313,"twenty":44.019613,"median":72.344718,"eighty":95.03167,"marketCap":1720132700000},{"date":"2024-02-16","current":95.010461,"twenty":44.540824,"median":72.674724,"eighty":95.182999,"marketCap":1794652600000},{"date":"2024-02-23","current":64.952193,"twenty":44.939883,"median":72.918949,"eighty":95.182999,"marketCap":1932977256000},{"date":"2024-03-01","current":65.4269,"twenty":45.025933,"median":72.894626,"eighty":95.143252,"marketCap":1947104544000},{"date":"2024-03-08","current":76.638758,"twenty":45.146206,"median":72.958811,"eighty":95.143252,"marketCap":2280769428000},{"date":"2024-03-15","current":72.731106,"twenty":45.477545,"median":72.97926,"eighty":95.143252,"marketCap":2164477728000},{"date":"2024-03-22","current":75.61822,"twenty":46.051839,"median":73.053314,"eighty":95.143252,"marketCap":2250398220000},{"date":"2024-03-28","current":74.638206,"twenty":46.257749,"median":73.184212,"eighty":95.143252,"marketCap":2221233000000},{"date":"2024-04-05","current":71.044821,"twenty":46.644258,"median":73.425711,"eighty":95.182999,"marketCap":2114293860000},{"date":"2024-04-12","current":74.940894,"twenty":47.102368,"median":73.452159,"eighty":95.182999,"marketCap":2230240992000},{"date":"2024-04-19","current":70.024283,"twenty":47.324197,"median":73.452159,"eighty":95.182999,"marketCap":2083922652000},{"date":"2024-04-26","current":68.337997,"twenty":47.618926,"median":73.445466,"eighty":95.143252,"marketCap":2033738784000},{"date":"2024-05-03","current":70.972043,"twenty":48.032695,"median":73.445466,"eighty":95.143252,"marketCap":2112128004000},{"date":"2024-05-10","current":73.3952,"twenty":48.538228,"median":73.539843,"eighty":95.143252,"marketCap":2184241164000},{"date":"2024-05-17","current":77.99311,"twenty":49.49307,"median":73.688689,"eighty":95.143252,"marketCap":2321074949947},{"date":"2024-05-24","current":59.939042,"twenty":49.910317,"median":73.839706,"eighty":95.143252,"marketCap":2553283298144},{"date":"2024-05-31","current":63.748892,"twenty":50.107824,"median":73.839706,"eighty":95.143252,"marketCap":2715575287685},{"date":"2024-06-07","current":69.805325,"twenty":50.539987,"median":73.839706,"eighty":95.143252,"marketCap":2973567227686},{"date":"2024-06-14","current":74.7737,"twenty":51.396802,"median":73.932124,"eighty":95.182999,"marketCap":3185210072731},{"date":"2024-06-21","current":75.448688,"twenty":52.414655,"median":74.319299,"eighty":95.222745,"marketCap":3213963222836},{"date":"2024-06-28","current":71.531449,"twenty":52.780434,"median":74.358122,"eighty":95.266804,"marketCap":3047096650860},{"date":"2024-07-05","current":74.006406,"twenty":53.211209,"median":74.358122,"eighty":95.266804,"marketCap":3152524867911},{"date":"2024-07-12","current":73.498722,"twenty":53.564821,"median":74.487825,"eighty":95.266804,"marketCap":3130898566978},{"date":"2024-07-15","current":74.560242,"twenty":53.597914,"median":74.541295,"eighty":95.266804,"marketCap":3176117196202},{"date":"2024-08-02","current":63.004674,"twenty":54.73749,"median":74.725869,"eighty":95.547002,"marketCap":2683873096543},{"date":"2024-08-09","current":60.558563,"twenty":55.159184,"median":74.725869,"eighty":95.547002,"marketCap":2579673646590},{"date":"2024-08-16","current":70.879537,"twenty":55.397296,"median":74.725869,"eighty":95.547002,"marketCap":3019326514434},{"date":"2024-08-23","current":71.38722,"twenty":56.15119,"median":74.731658,"eighty":95.547002,"marketCap":3040952815367},{"date":"2024-08-30","current":54.415988,"twenty":56.742539,"median":74.731658,"eighty":95.547002,"marketCap":2884482700000},{"date":"2024-09-06","current":49.612536,"twenty":56.742539,"median":74.731658,"eighty":95.547002,"marketCap":2629861300000},{"date":"2024-09-13","current":55.133267,"twenty":56.742539,"median":74.731658,"eighty":95.547002,"marketCap":2922504200000},{"date":"2024-09-20","current":54.545561,"twenty":56.742539,"median":74.731658,"eighty":95.547002,"marketCap":2891351100000},{"date":"2024-09-27","current":57.400792,"twenty":56.877163,"median":74.731658,"eighty":95.547002,"marketCap":3042701200000},{"date":"2024-10-04","current":56.850108,"twenty":56.877163,"median":74.731658,"eighty":95.547002,"marketCap":3013510500000},{"date":"2024-10-11","current":62.384721,"twenty":57.155529,"median":74.731658,"eighty":95.547002,"marketCap":3306889300000},{"date":"2024-10-18","current":63.365773,"twenty":57.601245,"median":74.731658,"eighty":95.547002,"marketCap":3358892900000},{"date":"2024-10-25","current":64.976179,"twenty":57.950916,"median":74.731658,"eighty":95.547002,"marketCap":3444257300000},{"date":"2024-10-31","current":64.478712,"twenty":58.179558,"median":74.731658,"eighty":95.547002,"marketCap":3417887550000},{"date":"2024-11-08","current":68.895759,"twenty":58.600149,"median":74.73538,"eighty":95.59127,"marketCap":3652026400000},{"date":"2024-11-15","current":67.914707,"twenty":58.963577,"median":74.73538,"eighty":95.59127,"marketCap":3600022800000},{"date":"2024-11-22","current":56.948161,"twenty":59.090653,"median":74.73538,"eighty":95.59127,"marketCap":3591948300000},{"date":"2024-11-29","current":53.678893,"twenty":59.090653,"median":74.73538,"eighty":95.59127,"marketCap":3385742500000},{"date":"2024-12-06","current":56.32304,"twenty":59.090653,"median":74.73538,"eighty":95.59127,"marketCap":3552519400000},{"date":"2024-12-13","current":53.325564,"twenty":59.090653,"median":74.73538,"eighty":95.59127,"marketCap":3363456600000},{"date":"2024-12-20","current":50.739658,"twenty":59.030243,"median":74.73538,"eighty":95.59127,"marketCap":3200353200000},{"date":"2024-12-27","current":54.331194,"twenty":58.874077,"median":74.73538,"eighty":95.59127,"marketCap":3426885700000},{"date":"2025-01-03","current":53.702189,"twenty":58.449526,"median":74.73538,"eighty":95.59127,"marketCap":3387211900000},{"date":"2025-01-10","current":54.401083,"twenty":58.158665,"median":74.739102,"eighty":95.635537,"marketCap":3431293900000},{"date":"2025-01-17","current":51.86177,"twenty":57.948128,"median":74.739102,"eighty":95.635537,"marketCap":3271129300000},{"date":"2025-01-24","current":57.161712,"twenty":57.522384,"median":74.739102,"eighty":95.635537,"marketCap":3605417800000},{"date":"2025-01-31","current":48.398365,"twenty":57.159239,"median":74.739102,"eighty":95.635537,"marketCap":3052678500000},{"date":"2025-02-07","current":49.96311,"twenty":56.977856,"median":74.739102,"eighty":95.635537,"marketCap":3151373200000},{"date":"2025-02-14","current":52.529602,"twenty":56.528825,"median":74.739102,"eighty":95.635537,"marketCap":3313252100000},{"date":"2025-02-21","current":54.401083,"twenty":56.2715,"median":74.739102,"eighty":95.635537,"marketCap":3431293900000},{"date":"2025-02-28","current":40.225851,"twenty":55.970925,"median":74.739102,"eighty":95.635537,"marketCap":2931660000000},{"date":"2025-03-07","current":37.018496,"twenty":55.367745,"median":74.750267,"eighty":95.679805,"marketCap":2697908000000},{"date":"2025-03-14","current":38.695829,"twenty":55.328447,"median":74.750267,"eighty":95.679805,"marketCap":2820152000000},{"date":"2025-03-21","current":39.68348,"twenty":55.328447,"median":74.750267,"eighty":95.679805,"marketCap":2892132000000},{"date":"2025-03-28","current":37.306422,"twenty":55.247605,"median":74.750267,"eighty":95.679805,"marketCap":2718892000000},{"date":"2025-04-04","current":34.082327,"twenty":55.141076,"median":74.750267,"eighty":95.679805,"marketCap":2483920000000},{"date":"2025-04-11","current":36.014105,"twenty":54.792492,"median":74.739102,"eighty":95.635537,"marketCap":2624708000000},{"date":"2025-04-17","current":34.982931,"twenty":54.594607,"median":74.739102,"eighty":95.635537,"marketCap":2549556000000},{"date":"2025-04-25","current":35.632437,"twenty":54.414034,"median":74.750267,"eighty":95.679805,"marketCap":2596892000000},{"date":"2025-05-02","current":37.366685,"twenty":54.132429,"median":74.750267,"eighty":95.679805,"marketCap":2723284000000},{"date":"2025-05-09","current":39.275076,"twenty":53.963576,"median":74.750267,"eighty":95.679805,"marketCap":2862367572719},{"date":"2025-05-16","current":45.11765,"twenty":53.688995,"median":74.750267,"eighty":95.679805,"marketCap":3288174319073},{"date":"2025-05-23","current":44.448397,"twenty":53.477722,"median":74.700615,"eighty":95.679805,"marketCap":3239399204943},{"date":"2025-05-30","current":44.236799,"twenty":53.176467,"median":74.700615,"eighty":95.679805,"marketCap":3396236000000},{"date":"2025-06-06","current":44.491052,"twenty":52.556528,"median":74.700615,"eighty":95.679805,"marketCap":3415756000000}],"updateTime":1749437054633}}}