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香蕉很好

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03-19

刚买了阅文。。也太惨了

港股跌幅持续扩大！恒生科技指数跌至2%，成分股几近全线下跌

03-19

无敌

英伟达AI盛会GTC揭幕，最强AI芯片Blackwell来了！

2020-10-06

为什么没人说话了。$白银主连(SImain)$

2020-10-06

为什么没人说话了。$白银主连(SImain)$

2020-09-18

$白银主连(SImain)$ 这行情要睡着了。

2020-09-18

$白银主连(SImain)$ 坚定做多!

2020-09-16

$白银主连(SImain)$ 开始做多它!

2020-09-16

开始做多他

去老虎APP查看更多动态

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09:39","market":"hk","language":"zh","title":"港股跌幅持续扩大！恒生科技指数跌至2%，成分股几近全线下跌","url":"https://stock-news.laohu8.com/highlight/detail?id=1138612966","media":"老虎资讯综合","summary":"3月19日，恒生科技指数跌幅扩大至2%，成分股几近全线下跌，$理想汽车-W(02015)$、$蔚来-SW(09866)$、$阅文集团(00772)$跌近7%；恒生指数现跌1.29%。","content":"<html><head></head><body><p>3月19日，恒生科技指数跌幅扩大至2%，成分股几近全线下跌，<a href=\"https://laohu8.com/S/02015\">理想汽车-W</a>、<a href=\"https://laohu8.com/S/09866\">蔚来-SW</a>、<a href=\"https://laohu8.com/S/00772\">阅文集团</a>跌近7%；恒生指数现跌1.29%。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/9df394112b8b10e2a7752ce868f8f28d\" tg-width=\"560\" tg-height=\"240\"/></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/02cb6474fef80b6755640bab63f4693f\" tg-width=\"560\" tg-height=\"240\"/></p><p></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" 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style=\"background-image:url(https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">老虎资讯综合 </p>\n<p class=\"h-time\">2024-03-19 09:39</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>3月19日，恒生科技指数跌幅扩大至2%，成分股几近全线下跌，<a href=\"https://laohu8.com/S/02015\">理想汽车-W</a>、<a href=\"https://laohu8.com/S/09866\">蔚来-SW</a>、<a href=\"https://laohu8.com/S/00772\">阅文集团</a>跌近7%；恒生指数现跌1.29%。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/9df394112b8b10e2a7752ce868f8f28d\" tg-width=\"560\" tg-height=\"240\"/></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/02cb6474fef80b6755640bab63f4693f\" tg-width=\"560\" tg-height=\"240\"/></p><p></p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/c7da52addfd52fb216bcf87283f43750","relate_stocks":{"BK4585":"ETF&股票定投概念","YANG":"三倍做空富时中国ETF-Direxion","YINN":"三倍做多富时中国ETF-Direxion","HSTECH":"恒生科技指数","07226":"XL二南方恒科"},"source_url":"","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1138612966","content_text":"3月19日，恒生科技指数跌幅扩大至2%，成分股几近全线下跌，理想汽车-W、蔚来-SW、阅文集团跌近7%；恒生指数现跌1.29%。","news_type":1},"isVote":1,"tweetType":1,"viewCount":868,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":285843645604016,"gmtCreate":1710804463252,"gmtModify":1710804464844,"author":{"id":"3553213515430143","authorId":"3553213515430143","name":"香蕉很好","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3553213515430143","authorIdStr":"3553213515430143"},"themes":[],"htmlText":"无敌","listText":"无敌","text":"无敌","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/285843645604016","repostId":"2420235326","repostType":2,"repost":{"id":"2420235326","kind":"news","weMediaInfo":{"introduction":"追踪全球财经热点，精选影响您财富的资讯，投资理财必备神器！","home_visible":1,"media_name":"华尔街见闻","id":"1084101182","head_image":"https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e"},"pubTimestamp":1710793378,"share":"https://www.laohu8.com/m/news/2420235326?lang=&edition=full","pubTime":"2024-03-19 04:22","market":"us","language":"zh","title":"英伟达AI盛会GTC揭幕，最强AI芯片Blackwell来了！","url":"https://stock-news.laohu8.com/highlight/detail?id=2420235326","media":"华尔街见闻","summary":"英伟达：台积电和Synopsys将采用英伟达计算光刻技术，这两家公司已经整合英伟达的Culitho ...","content":"<html><head></head><body><p><strong>》》全程回顾：<a href=\"https://www.laohu8.com/m/live/1793027278299171/?name=RNLive&amp;rndata=%7B%22liveId%22%3A%221793027278299171%22%2C%22type%22%3A1%7D\" title=\"英伟达 GTC 2024 主题演讲\" target=\"_blank\" class=\"\">英伟达 GTC 2024 主题演讲</a></strong></p><p>英伟达称，Blackwell的成本和能耗较前代改善25倍，是全球最强大芯片，由 2080 亿个晶体管组成，采用台积电4nm制程，支持多达10万亿参数的模型进行AI训练和实时大语言模型（LLM）推理；GB200 NVL72推理性能较H100提升高达30倍；亚马逊、微软、谷歌和甲骨文在首批提供Blackwell支持的云服务商之列；台积电和Synopsys将采用英伟达计算光刻技术；英伟达推出新软件NIM，让用户更容易利用已有英伟达GPU进行AI推理。</p><p style=\"text-align: justify;\">号称今年全球头号人工智能（AI）领域开发者大会的英伟达2024 GTC AI大会于美东时间3月18日周一拉开帷幕。</p><p style=\"text-align: justify;\">今年是英伟达时隔五年首次让年度GTC重回线下，也是此前分析认为英伟达要“拿出点真家伙”的AI盛会。</p><p style=\"text-align: justify;\">当地时间周一下午，英伟达创始人兼CEO 黄仁勋在美国加州圣何塞SAP中心进行主题为“面向开发者的1#AI峰会”（1# AI Conference for Developers）演讲。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/68ed3445d1656f7b915996d3e0e39530\" title=\"\" tg-width=\"640\" tg-height=\"470\"/></p><h2 id=\"id_1317132608\">Blackwell成本和能耗较前代改善25倍 全球最强大芯片 台积电4 nm制程</h2><p style=\"text-align: justify;\">黄仁勋介绍了运行AI模型的新一代芯片和软件。英伟达正式推出名为Blackwell的新一代AI图形处理器（GPU），预计将在今年晚些时候发货。</p><p style=\"text-align: justify;\">Blackwell平台能够在万亿参数级的大型语言模型（LLM）上构建和运行实时生成式 AI，而成本和能耗比前代改善25倍。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/4c14d278aa963e9702144f06d6537f79\" title=\"\" tg-width=\"640\" tg-height=\"360\"/></p><p style=\"text-align: justify;\">英伟达称，Blackwell拥有六项革命性的技术，可以支持多达10万亿参数的模型进行AI训练和实时LLM推理：</p><ul style=\"\"><li><p>全球最强大的芯片：Blackwell 架构 GPU由 2080 亿个晶体管组成，采用量身定制的台积电4纳米（nm）工艺制造，两个reticle极限GPU裸片将10 TB/秒的芯片到芯片链路连接成单个统一的GPU 。</p></li><li><p>第二代 Transformer引擎：结合了Blackwell Tensor Core技术和TensorRT-LLM和 NeMo Megatron 框架中的 英伟达先进动态范围管理算法，Blackwell 将通过新的4位浮点AI 支持双倍的计算和模型大小推理能力。</p></li><li><p>第五代 NVLink：为提高数万亿参数和混合专家AI 模型的性能，最新一代英伟达NVLink为每个 GPU 提供了突破性的 1.8TB/s 双向吞吐量，确保最复杂LLM之间多达576 个GPU 之间的无缝高速通信。</p></li><li><p>RAS 引擎 ：Blackwell 支持的 GPU 包含一个专用引擎，实现可靠性、可用性和服务性。 此外，Blackwell 架构还增加了芯片级功能，利用基于AI的预防性维护进行诊断和预测可靠性问题。这可以最大限度地延长系统正常运行时间，并提高大部署规模AI的弹性，使其能连续运行数周甚至数月，并降低运营成本。</p></li><li><p>安全人工智能：先进的机密计算功能可在不影响性能的情况下保护AI模型和客户数据，并支持新的本机接口加密协议，这对于医疗保健和金融服务等隐私敏感行业至关重要。</p></li><li><p>解压缩引擎：专用解压缩引擎支持最新格式，加快数据库查询，提供数据分析和数据科学的最高性能。 未来几年，在企业每年花费数百亿美元的数据处理方面，将越来越多地由 GPU 加速。</p></li></ul><h2 id=\"id_565161683\">GB200 NVL72推理性能较H100提升高达30倍</h2><p style=\"text-align: justify;\">英伟达同时介绍超级芯片GB200 Grace Blackwell Superchip，它通过 900GB/s的超低功耗NVLink，将两个B200 Tensor Core GPU 连接到NVIDIA Grace CPU。</p><p style=\"text-align: justify;\">为了获得最高的 AI 性能，GB200 驱动的系统可以与周一同时宣布的英伟达Quantum-X800 InfiniBand 和 Spectrum-X800 以太网平台连接，这些平台可提供速度高达 800Gb/s 的高级网络。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/1a62dab04affe5d7deb316a891dee4fd\" title=\"\" tg-width=\"550\" tg-height=\"564\"/></p><p style=\"text-align: justify;\">GB200是英伟达GB200 NVL72 的关键组件，GB200 NVL72 是一种多节点、液冷、机架规模系统，适用于计算最密集的工作负载。 它结合了 36 个 Grace Blackwell 超级芯片，其中包括通过第五代 NVLink 互连的 72 个 Blackwell GPU 和 36 个 Grace CPU。GB200 NVL72 还包括 NVIDIA BlueField®-3 数据处理单元，可在超大规模 AI 云中实现云网络加速、可组合存储、零信任安全性和 GPU 计算弹性。</p><p style=\"text-align: justify;\">相比数量的H100 Tensor Core GPU 相比，GB200 NVL72 对于 LLM 推理工作负载的性能提升高达 30 倍，并将成本和能耗降低高达 25 倍。</p><p style=\"text-align: justify;\">GB200 NVL72平台充当单个 GPU具有 1.4 exaflops 的 AI 性能和 30TB 的快速内存，是最新 DGX SuperPOD 的构建块。</p><p style=\"text-align: justify;\">英伟达推出服务器主板HGX B200，它通过 NVLink 连接八个 B200 GPU，以支持基于 x86 的生成式 AI 平台。 HGX B200 通过英伟达Quantum-2 InfiniBand 和 Spectrum-X 以太网网络平台支持高达 400Gb/s 的网络速度。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b7616297f6c112aa10255a1c88c09b76\" title=\"\" tg-width=\"640\" tg-height=\"360\"/></p><h2 id=\"id_3161863077\">亚马逊、微软、谷歌和甲骨文在首批提供Blackwell支持的云服务商之列</h2><p style=\"text-align: justify;\">Blackwell芯片将成为亚马逊、微软、谷歌这类全球最大数据中心运营商部署新电脑和其他产品的基础。基于Blackwell的产品将在今年晚些时候问世。</p><p style=\"text-align: justify;\">英伟达称，亚马逊云AWS、谷歌云、微软云Azure 和甲骨文云基础设施Oracle Cloud Infrastructure将成为首批提供Blackwell支持实例的云服务提供商，英伟达云合作伙伴计划的成员公司Applied Digital、CoreWeave、Crusoe、IBM Cloud 和 Lambda 也将成为首批提供 Blackwell 实例的云服务提供商。 </p><p style=\"text-align: justify;\">面向主权的Sovereign AI 云还将提供基于 Blackwell 的云服务和基础设施，包括 Indosat Ooredoo Hutchinson、Nebius、Nexgen Cloud、Oracle欧盟主权云、Oracle 美国、英国和澳大利亚政府云、Scaleway、Singtel、Northern Data Group 的 Taiga Cloud、 Yotta Data Services 的 Shakti Cloud 和 YTL Power International。</p><p style=\"text-align: justify;\">黄仁勋说，“三十年来，我们一直在追求加速计算，目标是实现深度学习和AI这类方面的变革性突破。生成式AI是我们这个时代的决定性技术。 Blackwell是推动这场新工业革命的引擎。 通过与世界上最具活力的公司合作，我们将实现AI在各行各业的承诺。”</p><p style=\"text-align: justify;\">英伟达在公告通稿中列举了料将采用Blackwell的一些组织，比如微软、亚马逊、谷歌、Meta、戴尔、OpenAI、甲骨文、马斯克领导的特斯拉和 xAI。黄仁勋介绍了包括这些公司在内的更多合作伙伴。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/4b0528111da97466d59ccacbb68efbea\" title=\"\" tg-width=\"640\" tg-height=\"346\"/></p><p style=\"text-align: justify;\">黄仁勋还提到，台积电和Synopsys将采用英伟达计算光刻技术，起用英伟达的计算光刻平台CuLitho。</p><p style=\"text-align: justify;\">台积电和Synopsys已经整合英伟达的Culitho W软件。他们将用英伟达的下一代 Blackwell GPU 来实现AI 和 HPC 应用。</p><h2 id=\"id_172045103\">新软件NIM让用户更容易利用已有英伟达GPU进行AI推理</h2><p style=\"text-align: justify;\">英伟达同时宣布推出名为英伟达NIM的推理微服务，它是优化的云原生微服务，旨在缩短生成式 AI 模型的上市时间并简化它们在云、数据中心和 GPU 加速工作站上的部署。</p><p style=\"text-align: justify;\">英伟达NIM通过使用行业标准 API 抽象化 AI 模型开发和生产包装的复杂性来扩展开发人员库。它是英伟达AI Enterprise 的一部分，为开发 AI 驱动的企业应用程序和在生产中部署 AI 模型提供了简化的路径。</p><p style=\"text-align: justify;\">NIM让用户使用旧版英伟达GPU进行推理或运行AI软件的过程变得更容易，并允许企业客户继续用他们已有的英伟达GPU。推理所需的算力比最初训练新的AI模型的少。 NIM 让企业能运行自己的AI 模型，而不是从OpenAI 等公司购买AI的成果。</p><p style=\"text-align: justify;\">基于英伟达服务器的客户只要订阅英伟达AI Enterprise 就可使用NIM，每个GPU每年的许可费用为 4500 美元。</p><p style=\"text-align: justify;\">英伟达将与微软和Hugging Face 等AI公司合作，确保他们的AI模型能够在所有兼容的英伟达芯片上运行。使用NIM的开发者可以在自己的服务器或基于云的 英伟达服务器上高效地运行模型，而无需冗长的配置过程。</p><p style=\"text-align: justify;\">评论称，NIM这种软件让部署AI变得更容易，不但为英伟达创收，而且给客户提供了又一个坚持使用英伟达芯片的理由。</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>英伟达AI盛会GTC揭幕，最强AI芯片Blackwell来了！</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 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class=\"title\">\n英伟达AI盛会GTC揭幕，最强AI芯片Blackwell来了！\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-03-19 04:22 北京时间&nbsp;&nbsp;&nbsp;<a href=https://api.jianyuweb.com/apiv1/content/articles/3710748?extract=1><strong>华尔街见闻</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>》》全程回顾：英伟达 GTC 2024 主题演讲英伟达称，Blackwell的成本和能耗较前代改善25倍，是全球最强大芯片，由 2080 亿个晶体管组成，采用台积电4nm制程，支持多达10万亿参数的模型进行AI训练和实时大语言模型（LLM）推理；GB200 NVL72推理性能较H100提升高达30倍；亚马逊、微软、谷歌和甲骨文在首批提供Blackwell支持的云服务商之列；台积电和Synopsys...</p>\n\n<a href=\"https://api.jianyuweb.com/apiv1/content/articles/3710748?extract=1\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/7683a80338b6c1f21a8c19e2e5c4545b","relate_stocks":{"BK4549":"软银资本持仓","LU0289961442.SGD":"SUSTAINABLE GLOBAL THEMATIC PORTFOLIO \"AX\" (SGD) ACC","LU0316494557.USD":"FRANKLIN GLOBAL FUNDAMENTAL STRATEGIES \"A\" ACC","LU0061475181.USD":"THREADNEEDLE (LUX) AMERICAN \"AU\" (USD) ACC","IE0034235188.USD":"PINEBRIDGE GLOBAL 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主题演讲英伟达称，Blackwell的成本和能耗较前代改善25倍，是全球最强大芯片，由 2080 亿个晶体管组成，采用台积电4nm制程，支持多达10万亿参数的模型进行AI训练和实时大语言模型（LLM）推理；GB200 NVL72推理性能较H100提升高达30倍；亚马逊、微软、谷歌和甲骨文在首批提供Blackwell支持的云服务商之列；台积电和Synopsys将采用英伟达计算光刻技术；英伟达推出新软件NIM，让用户更容易利用已有英伟达GPU进行AI推理。号称今年全球头号人工智能（AI）领域开发者大会的英伟达2024 GTC AI大会于美东时间3月18日周一拉开帷幕。今年是英伟达时隔五年首次让年度GTC重回线下，也是此前分析认为英伟达要“拿出点真家伙”的AI盛会。当地时间周一下午，英伟达创始人兼CEO 黄仁勋在美国加州圣何塞SAP中心进行主题为“面向开发者的1#AI峰会”（1# AI Conference for Developers）演讲。Blackwell成本和能耗较前代改善25倍 全球最强大芯片 台积电4 nm制程黄仁勋介绍了运行AI模型的新一代芯片和软件。英伟达正式推出名为Blackwell的新一代AI图形处理器（GPU），预计将在今年晚些时候发货。Blackwell平台能够在万亿参数级的大型语言模型（LLM）上构建和运行实时生成式 AI，而成本和能耗比前代改善25倍。英伟达称，Blackwell拥有六项革命性的技术，可以支持多达10万亿参数的模型进行AI训练和实时LLM推理：全球最强大的芯片：Blackwell 架构 GPU由 2080 亿个晶体管组成，采用量身定制的台积电4纳米（nm）工艺制造，两个reticle极限GPU裸片将10 TB/秒的芯片到芯片链路连接成单个统一的GPU 。第二代 Transformer引擎：结合了Blackwell Tensor Core技术和TensorRT-LLM和 NeMo Megatron 框架中的 英伟达先进动态范围管理算法，Blackwell 将通过新的4位浮点AI 支持双倍的计算和模型大小推理能力。第五代 NVLink：为提高数万亿参数和混合专家AI 模型的性能，最新一代英伟达NVLink为每个 GPU 提供了突破性的 1.8TB/s 双向吞吐量，确保最复杂LLM之间多达576 个GPU 之间的无缝高速通信。RAS 引擎 ：Blackwell 支持的 GPU 包含一个专用引擎，实现可靠性、可用性和服务性。 此外，Blackwell 架构还增加了芯片级功能，利用基于AI的预防性维护进行诊断和预测可靠性问题。这可以最大限度地延长系统正常运行时间，并提高大部署规模AI的弹性，使其能连续运行数周甚至数月，并降低运营成本。安全人工智能：先进的机密计算功能可在不影响性能的情况下保护AI模型和客户数据，并支持新的本机接口加密协议，这对于医疗保健和金融服务等隐私敏感行业至关重要。解压缩引擎：专用解压缩引擎支持最新格式，加快数据库查询，提供数据分析和数据科学的最高性能。 未来几年，在企业每年花费数百亿美元的数据处理方面，将越来越多地由 GPU 加速。GB200 NVL72推理性能较H100提升高达30倍英伟达同时介绍超级芯片GB200 Grace Blackwell Superchip，它通过 900GB/s的超低功耗NVLink，将两个B200 Tensor Core GPU 连接到NVIDIA Grace CPU。为了获得最高的 AI 性能，GB200 驱动的系统可以与周一同时宣布的英伟达Quantum-X800 InfiniBand 和 Spectrum-X800 以太网平台连接，这些平台可提供速度高达 800Gb/s 的高级网络。GB200是英伟达GB200 NVL72 的关键组件，GB200 NVL72 是一种多节点、液冷、机架规模系统，适用于计算最密集的工作负载。 它结合了 36 个 Grace Blackwell 超级芯片，其中包括通过第五代 NVLink 互连的 72 个 Blackwell GPU 和 36 个 Grace CPU。GB200 NVL72 还包括 NVIDIA BlueField®-3 数据处理单元，可在超大规模 AI 云中实现云网络加速、可组合存储、零信任安全性和 GPU 计算弹性。相比数量的H100 Tensor Core GPU 相比，GB200 NVL72 对于 LLM 推理工作负载的性能提升高达 30 倍，并将成本和能耗降低高达 25 倍。GB200 NVL72平台充当单个 GPU具有 1.4 exaflops 的 AI 性能和 30TB 的快速内存，是最新 DGX SuperPOD 的构建块。英伟达推出服务器主板HGX B200，它通过 NVLink 连接八个 B200 GPU，以支持基于 x86 的生成式 AI 平台。 HGX B200 通过英伟达Quantum-2 InfiniBand 和 Spectrum-X 以太网网络平台支持高达 400Gb/s 的网络速度。亚马逊、微软、谷歌和甲骨文在首批提供Blackwell支持的云服务商之列Blackwell芯片将成为亚马逊、微软、谷歌这类全球最大数据中心运营商部署新电脑和其他产品的基础。基于Blackwell的产品将在今年晚些时候问世。英伟达称，亚马逊云AWS、谷歌云、微软云Azure 和甲骨文云基础设施Oracle Cloud Infrastructure将成为首批提供Blackwell支持实例的云服务提供商，英伟达云合作伙伴计划的成员公司Applied Digital、CoreWeave、Crusoe、IBM Cloud 和 Lambda 也将成为首批提供 Blackwell 实例的云服务提供商。 面向主权的Sovereign AI 云还将提供基于 Blackwell 的云服务和基础设施，包括 Indosat Ooredoo Hutchinson、Nebius、Nexgen Cloud、Oracle欧盟主权云、Oracle 美国、英国和澳大利亚政府云、Scaleway、Singtel、Northern Data Group 的 Taiga Cloud、 Yotta Data Services 的 Shakti Cloud 和 YTL Power International。黄仁勋说，“三十年来，我们一直在追求加速计算，目标是实现深度学习和AI这类方面的变革性突破。生成式AI是我们这个时代的决定性技术。 Blackwell是推动这场新工业革命的引擎。 通过与世界上最具活力的公司合作，我们将实现AI在各行各业的承诺。”英伟达在公告通稿中列举了料将采用Blackwell的一些组织，比如微软、亚马逊、谷歌、Meta、戴尔、OpenAI、甲骨文、马斯克领导的特斯拉和 xAI。黄仁勋介绍了包括这些公司在内的更多合作伙伴。黄仁勋还提到，台积电和Synopsys将采用英伟达计算光刻技术，起用英伟达的计算光刻平台CuLitho。台积电和Synopsys已经整合英伟达的Culitho W软件。他们将用英伟达的下一代 Blackwell GPU 来实现AI 和 HPC 应用。新软件NIM让用户更容易利用已有英伟达GPU进行AI推理英伟达同时宣布推出名为英伟达NIM的推理微服务，它是优化的云原生微服务，旨在缩短生成式 AI 模型的上市时间并简化它们在云、数据中心和 GPU 加速工作站上的部署。英伟达NIM通过使用行业标准 API 抽象化 AI 模型开发和生产包装的复杂性来扩展开发人员库。它是英伟达AI Enterprise 的一部分，为开发 AI 驱动的企业应用程序和在生产中部署 AI 模型提供了简化的路径。NIM让用户使用旧版英伟达GPU进行推理或运行AI软件的过程变得更容易，并允许企业客户继续用他们已有的英伟达GPU。推理所需的算力比最初训练新的AI模型的少。 NIM 让企业能运行自己的AI 模型，而不是从OpenAI 等公司购买AI的成果。基于英伟达服务器的客户只要订阅英伟达AI Enterprise 就可使用NIM，每个GPU每年的许可费用为 4500 美元。英伟达将与微软和Hugging Face 等AI公司合作，确保他们的AI模型能够在所有兼容的英伟达芯片上运行。使用NIM的开发者可以在自己的服务器或基于云的 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