[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio006bf888":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":80},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio006bf888","新思科技(SNPS)增长芯片IP业务-亚马逊(AMZN)成应用优化设计首个主要客户","\u002Fdoc\u002Fdcio006bf888","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\n\u003C\u002Fp>\u003Cp>\u003Cspan>美股投资网获悉，新思科技(SNPS)正在将其芯片知识产权(IP)业务拓展至针对特定应用优化的设计领域，并与亚马逊(AMZN)签署一项新的多年期协议。作为该业务的首个主要客户，亚马逊将进一步扩大对新思科技芯片IP及电子设计自动化(EDA)技术的使用，以支持其自主开发通用计算和人工智能芯片。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>这项协议进一步深化了双方长达15年的合作关系。随着亚马逊云服务(AWS)持续扩大自研芯片布局，新思科技将在芯片IP、设计工具、仿真分析以及AI辅助工程等多个环节提供技术支持。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>亚马逊扩大自研芯片布局\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>芯片IP是指可以重复用于不同芯片设计的功能模块。根据新协议，亚马逊将扩大对新思科技IP的使用范围，从传统的通用型设计模块进一步延伸至针对特定应用场景优化的芯片设计。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>亚马逊近年来持续加码定制芯片。AWS旗下Graviton系列处理器主要面向通用计算，而Trainium则针对AI模型训练和推理任务设计。此外，亚马逊还利用Nitro系统，将网络、存储和安全等功能从主处理器转移至专用硬件，以提高云计算基础设施的运行效率。AWS今年推出了基于第五代Graviton5处理器的云计算实例，进一步推进其始于2018年第一代Graviton芯片的自研芯片计划。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>此次与新思科技扩大合作意味着亚马逊的芯片开发将获得更多外部设计技术支持。除芯片IP外，亚马逊还将增加对新思科技EDA工具以及仿真和分析技术的使用。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>EDA工具是现代芯片设计的核心软件之一，可帮助工程师完成芯片设计，并在实际制造之前模拟和测试芯片的预期性能，从而发现潜在设计问题。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>AI进一步进入芯片工程流程\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>双方此次合作还将延伸至Trainium和Graviton芯片的多物理场分析。随着先进芯片和计算系统日益复杂，工程师需要同时考虑温度、功耗以及机械效应等多种因素之间的相互影响。新思科技和亚马逊计划利用相关技术，对这些因素进行综合模拟和分析，以改善芯片及系统设计。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>与此同时，两家公司还计划将AI进一步应用于新思科技的“从芯片到系统”工程流程，并为亚马逊工程师开发定制化的智能体AI功能。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>这些AI工具将用于协助工程师完成芯片和系统的设计、分析、优化及验证工作，在AI芯片本身需求快速增长的同时，也将AI技术进一步引入芯片研发过程。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>新思科技年内股价仍跌逾11%\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>尽管新合作推动新思科技股价走高，其今年以来整体表现仍相对疲弱。截至目前，新思科技股价年内累计下跌超过11%，亚马逊则累计上涨超过9%。相比之下，同时持有新思科技和亚马逊股票的纳指100ETF(QQQ)今年以来累计上涨超过21%。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>Stocktwits平台数据显示，目前散户投资者对新思科技和亚马逊股票的情绪均仍处于“看空”状态。此次合作显示，在云计算和生成式AI推动定制芯片需求快速增长之际，亚马逊正在进一步强化从芯片设计到系统优化的自研能力，而新思科技也试图将业务从传统芯片设计IP和EDA软件进一步延伸至应用优化设计及AI驱动的工程流程。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>最专业的美股资讯,推荐美股大数据 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buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 \u003Ca href=\"https:\u002F\u002Fstockwe.com\" rel=\"noopener\">StockWe.com\u003C\u002Fa> 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理海量股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，美股买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":81,"search":82,"searchPlaceholder":82,"hotContent":83,"draft":84,"noData":85,"searchNoData":86,"courseContent":87,"more":88,"buyNow":89,"subscribeNow":90,"encoding":91,"paidContent":92},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]