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AMD密集“上新”押注2万亿AI计算市场，Helios全面生产、Venice性能领先英伟达20%

AMD同时释放出更为激进的竞争信号：公司称，基于新一代MI450系列加速器的Helios平台在部分关键指标上可以击败英伟达下一代Vera Rubin平台；新一代EPYC“Venice”服务器CPU的性能则较英伟达竞争产品高出约20%。苏姿丰还表示，Helios“正在全面生产中”，“客户对Helios的需求极其强劲”，料将三季度末开始出货，基于Venice的服务器系统预计将在今年第四季度陆续出现。

AMD密集“上新”押注2万亿AI计算市场，Helios全面生产、Venice性能领先英伟达20%

# 华尔街见闻

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0,,.00...............","highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"favoriteSize":0,"link":"https://laohu8.com/post/589322600441072","repostId":2653720218,"repostType":2,"repost":{"id":"2653720218","kind":"highlight","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":1784849099,"share":"https://www.laohunote.com/m/news/2653720218?lang=zh_CN&edition=full","pubTime":"2026-07-24 07:24","market":"us","language":"zh","title":"AMD密集“上新”押注2万亿AI计算市场，Helios全面生产、Venice性能领先英伟达20%","url":"https://stock-news.laohu8.com/highlight/detail?id=2653720218","media":"华尔街见闻","summary":"AMD同时释放出更为激进的竞争信号：公司称，基于新一代MI450系列加速器的Helios平台在部分关键指标上可以击败英伟达下一代Vera Rubin平台；新一代EPYC“Venice”服务器CPU的性能则较英伟达竞争产品高出约20%。苏姿丰还表示，Helios“正在全面生产中”，“客户对Helios的需求极其强劲”，料将三季度末开始出货，基于Venice的服务器系统预计将在今年第四季度陆续出现。","content":"<html><head></head><body><p style=\"text-align: left;\"><a href=\"https://laohu8.com/S/AMD\">AMD</a>正试图通过从芯片到整机系统的“全栈式”产品布局，全面向<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>发起挑战，在万亿美元规模的AI计算市场中抢占市场份额。</p><p style=\"text-align: left;\">美东时间7月23日，AMD在旧金山举行的年度AI盛会Advancing AI 2026期间，CEO苏姿丰在主题演讲中公布了新一代Instinct AI加速器、EPYC“Venice”服务器CPU以及Helios机架级AI平台等一系列新品，并预计到2030年，整体计算市场规模将达到2万亿美元。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/621f918c9c0646840ec4004d899060b2\" data-align=\"center\" tg-width=\"2560\" tg-height=\"1706\"/><span></span></p><p style=\"text-align: left;\">AMD同时释放出更为激进的竞争信号：公司称，基于新一代MI450系列加速器的Helios平台在部分关键指标上可以击败英伟达下一代Vera Rubin平台；新一代EPYC“Venice”服务器CPU的性能则较英伟达竞争产品高出约20%。</p><p style=\"text-align: left;\">苏姿丰还表示，Helios“正在全面生产中”，“客户对Helios的需求极其强劲”，料将三季度末开始出货，基于Venice的服务器系统预计将在今年第四季度陆续出现。</p><p style=\"text-align: left;\">不过，从股价即时反应看，市场并未完全买账。在发布新品及主题演讲期间，AMD股价跌幅扩大并刷新日低，日内跌近5%。在此之前，截至本周三收盘，AMD股价今年内累涨近160%，市场对这场发布会的预期已经被推至高位。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/044af7f4fc0b0939f6a71d3b23f9b424\" data-align=\"center\" tg-width=\"1154\" tg-height=\"758\"/><span></span></p><h2 style=\"text-align: left;\">到2030年 预计AI加速器市场规模1.4万亿美元 数据中心CPU市场2200亿</h2><p style=\"text-align: left;\">苏姿丰此次演讲最引人关注的内容之一，是AMD对未来市场空间的重新定义。</p><p style=\"text-align: left;\">按照AMD的预测，到2030年，AI加速器市场规模将达到1.4万亿美元，数据中心CPU市场规模将达到2200亿美元，整体计算市场规模则将达到2万亿美元。</p><p style=\"text-align: left;\">这一判断背后的核心逻辑是，AI基础设施的需求已经不再局限于训练大型模型。随着推理、AI智能体以及企业级AI应用快速增长，数据中心对于GPU、CPU、内存、网络以及机架级系统的需求正在同步扩张。</p><p style=\"text-align: left;\">AMD在今年第一季度业绩中也曾表示，数据中心业务已经成为公司营收和利润增长的主要驱动力，随着推理和智能体AI带来新的计算需求，公司预计服务器业务增长将进一步加速。</p><p style=\"text-align: left;\">与过去单纯强调“GPU性能追赶英伟达”不同，AMD此次展示的是一套覆盖CPU、GPU、网络、软件和整机系统的完整AI基础设施方案。</p><p style=\"text-align: left;\">其中，Helios被视为AMD向英伟达整机级AI基础设施发起挑战的核心产品。</p><h2 style=\"text-align: left;\">MI450加持 Helios预计Q3末开始交付</h2><p style=\"text-align: left;\">AMD此次展示的Helios机架级AI平台，最多可以集成72颗MI400系列AI加速器。其中，MI455X是该系列中的高端产品，重点提升了内存带宽、推理性能以及性能成本比。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/da8499db390bac0d88bf855090cd5f45\" data-align=\"center\" tg-width=\"1333\" tg-height=\"1000\"/><span></span></p><p style=\"text-align: left;\">苏姿丰在演讲中表示，MI450 AI加速器是“业内速度最快”的产品之一，并强调公司正在全速生产Helios，系统即将开始出货。Helios预计将在2026年第三季度末开始交付。</p><p style=\"text-align: left;\">AMD还表示，Helios在部分性能指标上可以击败英伟达下一代Vera Rubin平台。媒体援引苏姿丰的说法称，AMD方面认为，Helios在AI推理等关键工作负载上的性能和效率具备竞争优势。</p><p style=\"text-align: left;\">这意味着，AMD的竞争目标已经从单颗GPU进一步上移至整套AI基础设施。</p><p style=\"text-align: left;\">英伟达近年来的竞争优势并不仅仅来自GPU本身，而是来自包括GPU、CPU、网络芯片、系统设计和CUDA软件生态在内的完整平台。AMD此次推出Helios，正是试图在机架级系统层面建立与英伟达AI服务器平台的直接竞争关系。</p><p style=\"text-align: left;\">而在客户方面，OpenAI高管Sachin Katti在AMD活动现场表示，OpenAI预计将“大规模”部署Helios，并直言：“如果你还没有听说，我需要更多算力，而且需要得更快。”</p><p style=\"text-align: left;\">此前，AMD还与<a href=\"https://laohu8.com/S/META\">Meta</a>达成了涉及6吉瓦AI基础设施的多年合作，首批部署将采用基于MI450架构的定制Instinct GPU、第六代EPYC“Venice”CPU以及Helios机架级架构。</p><h2 style=\"text-align: left;\">AMD称Venice CPU性能远超<a href=\"https://laohu8.com/S/INTC\">英特尔</a>Xeon、领先英伟达Vera</h2><p style=\"text-align: left;\">如果说MI450和Helios是AMD挑战英伟达AI加速器和系统市场的核心，那么新一代EPYC“Venice”则是AMD巩固服务器CPU优势的关键产品。</p><p style=\"text-align: left;\">据报道，AMD此次展示的EPYC 9996采用Zen 6架构，最多拥有256个核心、最高1TB L3缓存，并支持16通道内存，最高频率超过5GHz。AMD称，其性能最多可达到英特尔同类Xeon产品的3.4倍，并较英伟达Vera CPU高出约20%。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/f42545d1fe4c746906c6af7e28365b07\" data-align=\"center\" tg-width=\"1200\" tg-height=\"675\"/><span></span></p><p style=\"text-align: left;\">苏姿丰在演讲中表示，Venice带来了公司历史上幅度最大的服务器CPU代际性能提升，并强调其性能“遥遥领先”于基于<a href=\"https://laohu8.com/S/ARM\">Arm</a>架构的竞争产品。</p><p style=\"text-align: left;\">更重要的是，Venice已经进入全面量产阶段，客户需求强劲，基于Venice的服务器系统预计将在今年第四季度出现。</p><p style=\"text-align: left;\">这也是AMD在AI基础设施竞争中的重要筹码。</p><p style=\"text-align: left;\">随着AI服务器越来越复杂，GPU并不是唯一的核心计算部件。大量AI推理、数据预处理以及通用计算任务仍然依赖CPU。对于大型云服务商和AI公司而言，GPU、CPU以及网络系统之间的协同效率，正在成为影响数据中心整体投资回报率的重要因素。</p><p style=\"text-align: left;\">因此，AMD试图通过“Venice+MI450+Helios”的组合，提供一套从通用计算到AI加速，再到机架级系统的完整解决方案。</p><h2 style=\"text-align: left;\">AMD的“第三条路”：从卖芯片转向卖AI基础设施</h2><p style=\"text-align: left;\">从产品路线来看，AMD正在逐渐摆脱过去“英伟达GPU的替代供应商”这一定位。</p><p style=\"text-align: left;\">AMD此前最主要的竞争方式，是依靠Instinct系列AI加速器，在性能和价格方面挑战英伟达。但随着AI基础设施的规模不断扩大，客户越来越关注的并非单颗芯片的峰值性能，而是整套系统的部署速度、能源效率、软件适配以及总拥有成本。</p><p style=\"text-align: left;\">Helios正是AMD对这一趋势的回应。</p><p style=\"text-align: left;\">AMD不仅提供MI450系列GPU，还将Venice CPU、Pensando网络产品、ROCm软件以及机架级系统整合到同一套平台中。此前公司也宣布，Helios将基于AMD与Meta通过开放计算项目共同开发的机架级架构，以便实现大规模AI基础设施部署。</p><p style=\"text-align: left;\">在客户层面，AMD正在快速扩展其AI基础设施阵营。</p><p style=\"text-align: left;\">除Meta和OpenAI外，AMD近期还与Anthropic达成了规模庞大的合作。按照双方公布的信息，Anthropic计划部署最多2吉瓦的AMD Instinct MI450系列GPU，首批1吉瓦部署预计于2027年上半年开始；AMD还计划对Anthropic进行最高50亿美元的股权投资。</p><p style=\"text-align: left;\">这意味着，AMD已经开始获得多家头部AI公司的大规模算力订单。</p><h2 style=\"text-align: left;\">真正的考验仍在英伟达之外</h2><p style=\"text-align: left;\">尽管AMD此次展示了强劲的产品路线图和客户需求，但市场的谨慎态度也说明，投资者并不满足于“性能领先”的发布会叙事。</p><p style=\"text-align: left;\">在AI芯片市场，英伟达的优势不仅体现在硬件性能，还包括CUDA软件生态、开发者基础、客户部署经验以及完整的系统供应链。AMD需要证明的，不仅是MI450或Helios在特定测试中的性能可以超过英伟达产品，更是能否在大规模实际部署中持续获得客户订单，并按时完成交付。</p><p style=\"text-align: left;\">这也是此次“Advancing AI 2026”释放出的最重要信号：AMD已经开始从“挑战英伟达的芯片公司”，转向“争夺AI基础设施市场份额的平台型公司”。</p><p style=\"text-align: left;\">苏姿丰押注的，是一个到2030年规模可能达到2万亿美元的计算市场。</p><p style=\"text-align: left;\">而随着OpenAI、Meta、Anthropic等头部AI公司持续扩大算力投资，AMD能否将MI450、Venice和Helios转化为持续增长的实际收入，将成为其真正挑战英伟达的关键。</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\" 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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\">\nAMD密集“上新”押注2万亿AI计算市场，Helios全面生产、Venice性能领先英伟达20%\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1084101182\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">华尔街见闻 </p>\n<p class=\"h-time\">2026-07-24 07:24</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p style=\"text-align: left;\"><a href=\"https://laohu8.com/S/AMD\">AMD</a>正试图通过从芯片到整机系统的“全栈式”产品布局，全面向<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>发起挑战，在万亿美元规模的AI计算市场中抢占市场份额。</p><p style=\"text-align: left;\">美东时间7月23日，AMD在旧金山举行的年度AI盛会Advancing AI 2026期间，CEO苏姿丰在主题演讲中公布了新一代Instinct AI加速器、EPYC“Venice”服务器CPU以及Helios机架级AI平台等一系列新品，并预计到2030年，整体计算市场规模将达到2万亿美元。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/621f918c9c0646840ec4004d899060b2\" data-align=\"center\" tg-width=\"2560\" tg-height=\"1706\"/><span></span></p><p style=\"text-align: left;\">AMD同时释放出更为激进的竞争信号：公司称，基于新一代MI450系列加速器的Helios平台在部分关键指标上可以击败英伟达下一代Vera Rubin平台；新一代EPYC“Venice”服务器CPU的性能则较英伟达竞争产品高出约20%。</p><p style=\"text-align: left;\">苏姿丰还表示，Helios“正在全面生产中”，“客户对Helios的需求极其强劲”，料将三季度末开始出货，基于Venice的服务器系统预计将在今年第四季度陆续出现。</p><p style=\"text-align: left;\">不过，从股价即时反应看，市场并未完全买账。在发布新品及主题演讲期间，AMD股价跌幅扩大并刷新日低，日内跌近5%。在此之前，截至本周三收盘，AMD股价今年内累涨近160%，市场对这场发布会的预期已经被推至高位。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/044af7f4fc0b0939f6a71d3b23f9b424\" data-align=\"center\" tg-width=\"1154\" tg-height=\"758\"/><span></span></p><h2 style=\"text-align: left;\">到2030年 预计AI加速器市场规模1.4万亿美元 数据中心CPU市场2200亿</h2><p style=\"text-align: left;\">苏姿丰此次演讲最引人关注的内容之一，是AMD对未来市场空间的重新定义。</p><p style=\"text-align: left;\">按照AMD的预测，到2030年，AI加速器市场规模将达到1.4万亿美元，数据中心CPU市场规模将达到2200亿美元，整体计算市场规模则将达到2万亿美元。</p><p style=\"text-align: left;\">这一判断背后的核心逻辑是，AI基础设施的需求已经不再局限于训练大型模型。随着推理、AI智能体以及企业级AI应用快速增长，数据中心对于GPU、CPU、内存、网络以及机架级系统的需求正在同步扩张。</p><p style=\"text-align: left;\">AMD在今年第一季度业绩中也曾表示，数据中心业务已经成为公司营收和利润增长的主要驱动力，随着推理和智能体AI带来新的计算需求，公司预计服务器业务增长将进一步加速。</p><p style=\"text-align: left;\">与过去单纯强调“GPU性能追赶英伟达”不同，AMD此次展示的是一套覆盖CPU、GPU、网络、软件和整机系统的完整AI基础设施方案。</p><p style=\"text-align: left;\">其中，Helios被视为AMD向英伟达整机级AI基础设施发起挑战的核心产品。</p><h2 style=\"text-align: left;\">MI450加持 Helios预计Q3末开始交付</h2><p style=\"text-align: left;\">AMD此次展示的Helios机架级AI平台，最多可以集成72颗MI400系列AI加速器。其中，MI455X是该系列中的高端产品，重点提升了内存带宽、推理性能以及性能成本比。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/da8499db390bac0d88bf855090cd5f45\" data-align=\"center\" tg-width=\"1333\" tg-height=\"1000\"/><span></span></p><p style=\"text-align: left;\">苏姿丰在演讲中表示，MI450 AI加速器是“业内速度最快”的产品之一，并强调公司正在全速生产Helios，系统即将开始出货。Helios预计将在2026年第三季度末开始交付。</p><p style=\"text-align: left;\">AMD还表示，Helios在部分性能指标上可以击败英伟达下一代Vera Rubin平台。媒体援引苏姿丰的说法称，AMD方面认为，Helios在AI推理等关键工作负载上的性能和效率具备竞争优势。</p><p style=\"text-align: left;\">这意味着，AMD的竞争目标已经从单颗GPU进一步上移至整套AI基础设施。</p><p style=\"text-align: left;\">英伟达近年来的竞争优势并不仅仅来自GPU本身，而是来自包括GPU、CPU、网络芯片、系统设计和CUDA软件生态在内的完整平台。AMD此次推出Helios，正是试图在机架级系统层面建立与英伟达AI服务器平台的直接竞争关系。</p><p style=\"text-align: left;\">而在客户方面，OpenAI高管Sachin Katti在AMD活动现场表示，OpenAI预计将“大规模”部署Helios，并直言：“如果你还没有听说，我需要更多算力，而且需要得更快。”</p><p style=\"text-align: left;\">此前，AMD还与<a href=\"https://laohu8.com/S/META\">Meta</a>达成了涉及6吉瓦AI基础设施的多年合作，首批部署将采用基于MI450架构的定制Instinct GPU、第六代EPYC“Venice”CPU以及Helios机架级架构。</p><h2 style=\"text-align: left;\">AMD称Venice CPU性能远超<a href=\"https://laohu8.com/S/INTC\">英特尔</a>Xeon、领先英伟达Vera</h2><p style=\"text-align: left;\">如果说MI450和Helios是AMD挑战英伟达AI加速器和系统市场的核心，那么新一代EPYC“Venice”则是AMD巩固服务器CPU优势的关键产品。</p><p style=\"text-align: left;\">据报道，AMD此次展示的EPYC 9996采用Zen 6架构，最多拥有256个核心、最高1TB L3缓存，并支持16通道内存，最高频率超过5GHz。AMD称，其性能最多可达到英特尔同类Xeon产品的3.4倍，并较英伟达Vera CPU高出约20%。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/f42545d1fe4c746906c6af7e28365b07\" data-align=\"center\" tg-width=\"1200\" tg-height=\"675\"/><span></span></p><p style=\"text-align: left;\">苏姿丰在演讲中表示，Venice带来了公司历史上幅度最大的服务器CPU代际性能提升，并强调其性能“遥遥领先”于基于<a href=\"https://laohu8.com/S/ARM\">Arm</a>架构的竞争产品。</p><p style=\"text-align: left;\">更重要的是，Venice已经进入全面量产阶段，客户需求强劲，基于Venice的服务器系统预计将在今年第四季度出现。</p><p style=\"text-align: left;\">这也是AMD在AI基础设施竞争中的重要筹码。</p><p style=\"text-align: left;\">随着AI服务器越来越复杂，GPU并不是唯一的核心计算部件。大量AI推理、数据预处理以及通用计算任务仍然依赖CPU。对于大型云服务商和AI公司而言，GPU、CPU以及网络系统之间的协同效率，正在成为影响数据中心整体投资回报率的重要因素。</p><p style=\"text-align: left;\">因此，AMD试图通过“Venice+MI450+Helios”的组合，提供一套从通用计算到AI加速，再到机架级系统的完整解决方案。</p><h2 style=\"text-align: left;\">AMD的“第三条路”：从卖芯片转向卖AI基础设施</h2><p style=\"text-align: left;\">从产品路线来看，AMD正在逐渐摆脱过去“英伟达GPU的替代供应商”这一定位。</p><p style=\"text-align: left;\">AMD此前最主要的竞争方式，是依靠Instinct系列AI加速器，在性能和价格方面挑战英伟达。但随着AI基础设施的规模不断扩大，客户越来越关注的并非单颗芯片的峰值性能，而是整套系统的部署速度、能源效率、软件适配以及总拥有成本。</p><p style=\"text-align: left;\">Helios正是AMD对这一趋势的回应。</p><p style=\"text-align: left;\">AMD不仅提供MI450系列GPU，还将Venice CPU、Pensando网络产品、ROCm软件以及机架级系统整合到同一套平台中。此前公司也宣布，Helios将基于AMD与Meta通过开放计算项目共同开发的机架级架构，以便实现大规模AI基础设施部署。</p><p style=\"text-align: left;\">在客户层面，AMD正在快速扩展其AI基础设施阵营。</p><p style=\"text-align: left;\">除Meta和OpenAI外，AMD近期还与Anthropic达成了规模庞大的合作。按照双方公布的信息，Anthropic计划部署最多2吉瓦的AMD Instinct MI450系列GPU，首批1吉瓦部署预计于2027年上半年开始；AMD还计划对Anthropic进行最高50亿美元的股权投资。</p><p style=\"text-align: left;\">这意味着，AMD已经开始获得多家头部AI公司的大规模算力订单。</p><h2 style=\"text-align: left;\">真正的考验仍在英伟达之外</h2><p style=\"text-align: left;\">尽管AMD此次展示了强劲的产品路线图和客户需求，但市场的谨慎态度也说明，投资者并不满足于“性能领先”的发布会叙事。</p><p style=\"text-align: left;\">在AI芯片市场，英伟达的优势不仅体现在硬件性能，还包括CUDA软件生态、开发者基础、客户部署经验以及完整的系统供应链。AMD需要证明的，不仅是MI450或Helios在特定测试中的性能可以超过英伟达产品，更是能否在大规模实际部署中持续获得客户订单，并按时完成交付。</p><p style=\"text-align: left;\">这也是此次“Advancing AI 2026”释放出的最重要信号：AMD已经开始从“挑战英伟达的芯片公司”，转向“争夺AI基础设施市场份额的平台型公司”。</p><p style=\"text-align: left;\">苏姿丰押注的，是一个到2030年规模可能达到2万亿美元的计算市场。</p><p style=\"text-align: left;\">而随着OpenAI、Meta、Anthropic等头部AI公司持续扩大算力投资，AMD能否将MI450、Venice和Helios转化为持续增长的实际收入，将成为其真正挑战英伟达的关键。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/e910a0d7e1da6d4a41f6d581ee31760f","relate_stocks":{"IE000Q6AESB8.SGD":"PIMCO BALANCED INCOME AND GROWTH \"A\" (SGDHDG) INC","LU0957808578.USD":"THREADNEEDLE (LUX) GLOBAL TECHNOLOGY \"ZU\" (USD) 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数据中心CPU市场2200亿苏姿丰此次演讲最引人关注的内容之一，是AMD对未来市场空间的重新定义。按照AMD的预测，到2030年，AI加速器市场规模将达到1.4万亿美元，数据中心CPU市场规模将达到2200亿美元，整体计算市场规模则将达到2万亿美元。这一判断背后的核心逻辑是，AI基础设施的需求已经不再局限于训练大型模型。随着推理、AI智能体以及企业级AI应用快速增长，数据中心对于GPU、CPU、内存、网络以及机架级系统的需求正在同步扩张。AMD在今年第一季度业绩中也曾表示，数据中心业务已经成为公司营收和利润增长的主要驱动力，随着推理和智能体AI带来新的计算需求，公司预计服务器业务增长将进一步加速。与过去单纯强调“GPU性能追赶英伟达”不同，AMD此次展示的是一套覆盖CPU、GPU、网络、软件和整机系统的完整AI基础设施方案。其中，Helios被视为AMD向英伟达整机级AI基础设施发起挑战的核心产品。MI450加持 Helios预计Q3末开始交付AMD此次展示的Helios机架级AI平台，最多可以集成72颗MI400系列AI加速器。其中，MI455X是该系列中的高端产品，重点提升了内存带宽、推理性能以及性能成本比。苏姿丰在演讲中表示，MI450 AI加速器是“业内速度最快”的产品之一，并强调公司正在全速生产Helios，系统即将开始出货。Helios预计将在2026年第三季度末开始交付。AMD还表示，Helios在部分性能指标上可以击败英伟达下一代Vera Rubin平台。媒体援引苏姿丰的说法称，AMD方面认为，Helios在AI推理等关键工作负载上的性能和效率具备竞争优势。这意味着，AMD的竞争目标已经从单颗GPU进一步上移至整套AI基础设施。英伟达近年来的竞争优势并不仅仅来自GPU本身，而是来自包括GPU、CPU、网络芯片、系统设计和CUDA软件生态在内的完整平台。AMD此次推出Helios，正是试图在机架级系统层面建立与英伟达AI服务器平台的直接竞争关系。而在客户方面，OpenAI高管Sachin Katti在AMD活动现场表示，OpenAI预计将“大规模”部署Helios，并直言：“如果你还没有听说，我需要更多算力，而且需要得更快。”此前，AMD还与Meta达成了涉及6吉瓦AI基础设施的多年合作，首批部署将采用基于MI450架构的定制Instinct GPU、第六代EPYC“Venice”CPU以及Helios机架级架构。AMD称Venice CPU性能远超英特尔Xeon、领先英伟达Vera如果说MI450和Helios是AMD挑战英伟达AI加速器和系统市场的核心，那么新一代EPYC“Venice”则是AMD巩固服务器CPU优势的关键产品。据报道，AMD此次展示的EPYC 9996采用Zen 6架构，最多拥有256个核心、最高1TB L3缓存，并支持16通道内存，最高频率超过5GHz。AMD称，其性能最多可达到英特尔同类Xeon产品的3.4倍，并较英伟达Vera CPU高出约20%。苏姿丰在演讲中表示，Venice带来了公司历史上幅度最大的服务器CPU代际性能提升，并强调其性能“遥遥领先”于基于Arm架构的竞争产品。更重要的是，Venice已经进入全面量产阶段，客户需求强劲，基于Venice的服务器系统预计将在今年第四季度出现。这也是AMD在AI基础设施竞争中的重要筹码。随着AI服务器越来越复杂，GPU并不是唯一的核心计算部件。大量AI推理、数据预处理以及通用计算任务仍然依赖CPU。对于大型云服务商和AI公司而言，GPU、CPU以及网络系统之间的协同效率，正在成为影响数据中心整体投资回报率的重要因素。因此，AMD试图通过“Venice+MI450+Helios”的组合，提供一套从通用计算到AI加速，再到机架级系统的完整解决方案。AMD的“第三条路”：从卖芯片转向卖AI基础设施从产品路线来看，AMD正在逐渐摆脱过去“英伟达GPU的替代供应商”这一定位。AMD此前最主要的竞争方式，是依靠Instinct系列AI加速器，在性能和价格方面挑战英伟达。但随着AI基础设施的规模不断扩大，客户越来越关注的并非单颗芯片的峰值性能，而是整套系统的部署速度、能源效率、软件适配以及总拥有成本。Helios正是AMD对这一趋势的回应。AMD不仅提供MI450系列GPU，还将Venice CPU、Pensando网络产品、ROCm软件以及机架级系统整合到同一套平台中。此前公司也宣布，Helios将基于AMD与Meta通过开放计算项目共同开发的机架级架构，以便实现大规模AI基础设施部署。在客户层面，AMD正在快速扩展其AI基础设施阵营。除Meta和OpenAI外，AMD近期还与Anthropic达成了规模庞大的合作。按照双方公布的信息，Anthropic计划部署最多2吉瓦的AMD Instinct MI450系列GPU，首批1吉瓦部署预计于2027年上半年开始；AMD还计划对Anthropic进行最高50亿美元的股权投资。这意味着，AMD已经开始获得多家头部AI公司的大规模算力订单。真正的考验仍在英伟达之外尽管AMD此次展示了强劲的产品路线图和客户需求，但市场的谨慎态度也说明，投资者并不满足于“性能领先”的发布会叙事。在AI芯片市场，英伟达的优势不仅体现在硬件性能，还包括CUDA软件生态、开发者基础、客户部署经验以及完整的系统供应链。AMD需要证明的，不仅是MI450或Helios在特定测试中的性能可以超过英伟达产品，更是能否在大规模实际部署中持续获得客户订单，并按时完成交付。这也是此次“Advancing AI 2026”释放出的最重要信号：AMD已经开始从“挑战英伟达的芯片公司”，转向“争夺AI基础设施市场份额的平台型公司”。苏姿丰押注的，是一个到2030年规模可能达到2万亿美元的计算市场。而随着OpenAI、Meta、Anthropic等头部AI公司持续扩大算力投资，AMD能否将MI450、Venice和Helios转化为持续增长的实际收入，将成为其真正挑战英伟达的关键。","news_type":1,"symbols_score_info":{"CNAV":0.6,"TTEQ":0.6,"AMD":1.98,"NVDW":0.6,"NVDD":0.6,"XLK":0.6,"CHPX":0.6,"THMR":0.6,"AIS":0.6,"WISE":0.6,"3NVD.UK":0.6,"NVDX":0.6,"NVDO":0.6,"AMDY":0.6,"SOXY":0.6,"NVDS":0.6,"NVD2.UK":0.6,"SMH":0.6,"TEK":0.6,"ANV":0.6,"ESUM":0.6,"AMDW":0.6,"FTXL":0.6,"QQQA":0.6,"07788":0.6,"CNEQ":0.6,"SNPE":0.6,"NVDQ":0.6,"SMHX":0.6,"WUGI":0.6,"NVD3.UK":0.6,"NVIW.SI":0.6,"FDTX":0.6,"ILDR":0.6,"LFGY":0.6,"PSI":0.6,"NVDB":0.6,"SPTE":0.6,"EFIV":0.6,"DAMD":0.6,"USD":0.6,"AMDG":0.6,"BAI":0.6,"ROM":0.6,"IXN":0.6,"NVYY":0.6,"NVDG":0.6,"AMYY":0.6,"07388":0.6,"NVDU":0.6,"FTEC":0.6,"JGRO":0.6,"NVDY":0.6,"NULC":0.6,"NVDS.UK":0.6,"IETC":0.6,"ESLG":0.6,"DIPS":0.6,"TRFK":0.6,"AIFD":0.6,"AIQ":0.6,"CHPS":0.6,"CLSE":0.6,"NVD":0.6,"AIPI":0.6,"VGT":0.6,"ABFL":0.6,"SNVD.UK":0.6,"AMDS":0.6,"GAMR":0.6,"NVII":0.6,"AMDU":0.6,"USXF":0.6,"2NVD.UK":0.6,"FAI":0.6,"AMDL":0.6,"VT":0.6,"TYLG":0.6,"AGOX":0.6,"AMDD":0.6,"METV":0.6,"SOXX":0.6,"NVDA":1.91,"SHOC":0.6,"NVDL":0.6,"CMAG":0.6,"LEGR":0.6,"SOXQ":0.6,"AMUU":0.6,"XNTK":0.6,"TTXU":0.6}},"isVote":1,"tweetType":1,"viewCount":368,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":[],"verified":2,"subType":0,"readableState":1,"langContent":"CN","currentLanguage":"CN","warmUpFlag":false,"orderFlag":false,"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":[],"commentAndTweetFlag":false,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":33,"optionInvolvedFlag":false,"subscribersOnly":false,"subscribersOnlyAccessible":false,"xxTargetLangEnum":"ZH_CN"},"commentList":[],"hasMoreComment":false,"orderType":2}