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Ever since buying a startup called Annapurna Labs in 2015, AWS has worked to develop its own custom chips.</p>\n<p>On Tuesday, the company released the third generation of its \"Graviton\" chip that is designed to compete with central processor from Intel and Advanced Micro Devices . The \"Graviton3\" is 25% faster than its predecessor, and Dave Brown, vice president of Elastic Compute Cloud at Amazon, told Reuters that the company expects it to provide a better performance per dollar than Intel's chips.</p>\n<p>AWS also said that a new class of chip called Trainium, which is designed to train machine learning computer models and will compete against chips from Nvidia, will soon be available to its customers. AWS expects it to train machine learning models for 40% lower cost than Nvidia's flagship chip.</p>\n<p>AWS still works closely with Intel, <a href=\"https://laohu8.com/S/AMD\">AMD</a> and Nvidia - for example, it is working with Nvidia to pair its Graviton processors to providing a way for Android game developer to stream their titles to devices. Brown said AWS wants to keep the computing market competitive by offering an additional chip choice.</p>\n<p>\"We have thrown down the gauntlet on performance. And I believe that in the years to come, you'll see better performance from all of them - Intel, AMD - on price-performance specifically. That's the thing they have got to keep our customers happy on.\"</p>","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>Amazon's cloud unit launches new chips to take on Intel, Nvidia</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nAmazon's cloud unit launches new chips to take on Intel, Nvidia\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1036604489\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/443ce19704621c837795676028cec868);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2021-12-01 10:56</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>Nov 30 (Reuters) - Amazon.com Inc's cloud computing unit on Tuesday introduced two new custom computing chips aimed at helping its customers beat the cost of using chips from Intel Corp and Nvidia Corp .</p>\n<p>With $45.37 billion in sales in 2020, Amazon Web Services <a href=\"https://laohu8.com/S/AWS.SI\">$(AWS.SI)$</a> is the world's biggest cloud computing provider and <a href=\"https://laohu8.com/S/AONE.U\">one</a> of the biggest buyers of data center chips, whose computing power AWS rents out to its customers. Ever since buying a startup called Annapurna Labs in 2015, AWS has worked to develop its own custom chips.</p>\n<p>On Tuesday, the company released the third generation of its \"Graviton\" chip that is designed to compete with central processor from Intel and Advanced Micro Devices . The \"Graviton3\" is 25% faster than its predecessor, and Dave Brown, vice president of Elastic Compute Cloud at Amazon, told Reuters that the company expects it to provide a better performance per dollar than Intel's chips.</p>\n<p>AWS also said that a new class of chip called Trainium, which is designed to train machine learning computer models and will compete against chips from Nvidia, will soon be available to its customers. 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That's the thing they have got to keep our customers happy on.\"</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"AMD":"美国超微公司","BK4567":"ESG概念","BK4533":"AQR资本管理(全球第二大对冲基金)","BK4550":"红杉资本持仓","BK4141":"半导体产品","BK4543":"AI","BK4503":"景林资产持仓","BK4532":"文艺复兴科技持仓","BK4554":"元宇宙及AR概念","BK4549":"软银资本持仓","BK4529":"IDC概念","BK4527":"明星科技股","BK4548":"巴美列捷福持仓","BK4551":"寇图资本持仓","BK4534":"瑞士信贷持仓","INTC":"英特尔","NVDA":"英伟达","AMZN":"亚马逊"},"is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2188391415","content_text":"Nov 30 (Reuters) - Amazon.com Inc's cloud computing unit on Tuesday introduced two new custom computing chips aimed at helping its customers beat the cost of using chips from Intel Corp and Nvidia Corp .\nWith $45.37 billion in sales in 2020, Amazon Web Services $(AWS.SI)$ is the world's biggest cloud computing provider and one of the biggest buyers of data center chips, whose computing power AWS rents out to its customers. Ever since buying a startup called Annapurna Labs in 2015, AWS has worked to develop its own custom chips.\nOn Tuesday, the company released the third generation of its \"Graviton\" chip that is designed to compete with central processor from Intel and Advanced Micro Devices . The \"Graviton3\" is 25% faster than its predecessor, and Dave Brown, vice president of Elastic Compute Cloud at Amazon, told Reuters that the company expects it to provide a better performance per dollar than Intel's chips.\nAWS also said that a new class of chip called Trainium, which is designed to train machine learning computer models and will compete against chips from Nvidia, will soon be available to its customers. 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