Compal showcases NVIDIA HGX Rubin NVL8 AI server at GTC 2026

Reuters

Mar 17

Compal attended NVIDIA GTC 2026, where it showcased a high-density AI server solution based on NVIDIA HGX Rubin NVL8. The company presented its SG231-2-L1 system, which integrates eight NVIDIA Rubin GPUs in a 2U chassis. Compal said the system supports up to 2.3TB of GPU memory and up to 28.8TB/s of GPU-to-GPU bandwidth using NVIDIA NVLink 6. Alan Chang, vice president of Compal’s Infrastructure Systems Business Group, commented on deployment efficiency and scalability for AI infrastructure.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Compal Electronics Inc. published the original content used to generate this news brief via PR Newswire (Ref. ID: HK10587) on March 16, 2026, and is solely responsible for the information contained therein.

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ID: HK10587) on March 16, 2026, and is solely responsible for the information contained therein.</span></i>\n</p>\n</div></body></html>","source":null,"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>Compal showcases NVIDIA HGX Rubin NVL8 AI server at GTC 2026</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\">\nCompal showcases NVIDIA HGX Rubin NVL8 AI server at GTC 2026\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1032215980\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2026-03-17 01:30</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html xmlns=\"http://www.w3.org/1999/xhtml\" xmlns:newsg2=\"http://iptc.org/std/nar/2006-10-01/\" xmlns:xhtml=\"http://www.w3.org/1999/xhtml\"><head><title>\n      Compal showcases NVIDIA HGX Rubin NVL8 AI server at GTC 2026\n    </title></head><body><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<p>\n        Compal attended NVIDIA GTC 2026, where it showcased a high-density AI server solution based on NVIDIA HGX Rubin NVL8. The company presented its SG231-2-L1 system, which integrates eight NVIDIA Rubin GPUs in a 2U chassis. Compal said the system supports up to 2.3TB of GPU memory and up to 28.8TB/s of GPU-to-GPU bandwidth using NVIDIA NVLink 6. Alan Chang, vice president of Compal’s Infrastructure Systems Business Group, commented on deployment efficiency and scalability for AI infrastructure.\n      </p>\n</div><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<p>\n<i>Disclaimer: <span>This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. <a href=\"https://laohu8.com/S/CMPCY\">Compal Electronics Inc.</a> published the original content used to generate this news brief via PR Newswire (Ref. ID: HK10587) on March 16, 2026, and is solely responsible for the information contained therein.</span></i>\n</p>\n</div></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU0158827781.USD","symbol_name":" ALLIANZ GLOBAL SUSTAINABILITY \"AT\" (USD) ACC","start_time":0,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260316:nNDLbHDjsV:1","article_id":"2620498996","we_media_id":"1032215980","thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2620498996","pubTimestamp":1773682255,"columns":[],"sourceInfo":null,"weMediaInfo":{"media_name":"Reuters","introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"id":"1032215980","head_image":"https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48"},"summary":"Compal attended NVIDIA GTC 2026, where it showcased a high-density AI server solution based on NVIDIA HGX Rubin NVL8. 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Compal Electronics Inc. published the original content used to generate this news brief via PR Newswire  on March 16, 2026, and is solely responsible for the information contained therein.","collect":0,"end_time":0,"defaultTopTitle":"","property":[],"viewcount":null,"language":"en","relate_stocks":{"LU0158827781.USD":" ALLIANZ GLOBAL SUSTAINABILITY \"AT\" (USD) ACC","LU1804176565.USD":"EASTSPRING INV GLOBAL GROWTH EQUITY \"A\" (USD) ACC","LU2506951792.HKD":"BNP PARIBAS ENERGY TRANSITION \"CRH\" (HKDHDG)       ACC","LU1699723380.USD":"ALLSPRING GLOBAL LONG/SHORT EQUITY \"AP\" (USD) ACC","LU1721428933.USD":"法巴全球经典环境基金RH MD Dis","SG9999014542.SGD":"United Income Focus Trust Acc SGD","LU0882574139.USD":"富达环球消费行业基金A ACC","LU2452424414.USD":"BGF ESG MULTI-ASSET \"A10\" (USDHDG) INC","LU0057025933.USD":"SUSTAINABLE GLOBAL THEMATIC PORTFOLIO \"AX\" (USD) ACC","LU0211328371.USD":"TEMPLETON GLOBAL EQUITY INCOME \"A\" (MDIS) (USD)   INC","IE00BQXX3D17.EUR":"GUINNESS GLOBAL INNOVATORS \"C\" (EUR) ACC","LU1852331112.SGD":"Blackrock World Technology Fund A2 SGD-H","IE00BQXX3C00.GBP":"GUINNESS GLOBAL INNOVATORS \"C\" (GBP) ACC","IE00BQXX3F31.USD":"GUINNESS GLOBAL INNOVATORS \"C\" (USD) ACC","LU2433249047.HKD":"THEMATICS META \"R/A\" (HKD) ACC","LU2063271972.USD":"富兰克林创新领域基金","LU1242518931.SGD":"Fullerton Lux Funds - 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The company presented its SG231-2-L1 system, which integrates eight NVIDIA Rubin GPUs in a 2U chassis. Compal said the system supports up to 2.3TB of GPU memory and up to 28.8TB/s of GPU-to-GPU bandwidth using NVIDIA NVLink 6. Alan Chang, vice president of Compal’s Infrastructure Systems Business Group, commented on deployment efficiency and scalability for AI infrastructure.\n      \n\n\nDisclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Compal Electronics Inc. published the original content used to generate this news brief via PR Newswire (Ref. ID: HK10587) on March 16, 2026, and is solely responsible for the information contained therein.","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":true,"code":"91000000","status":"200"}}}