cloudwin
2022-11-19
此网友纯傻帽
国产显卡兼容NV CUDA 网友神评:成立2年的公司比AMD做得更好
免责声明:上述内容仅代表发帖人个人观点,不构成本平台的任何投资建议。
分享至
微信
复制链接
精彩评论
我们需要你的真知灼见来填补这片空白
打开APP,发表看法
APP内打开
发表看法
{"i18n":{"language":"zh_CN"},"detailType":1,"isChannel":false,"data":{"magic":2,"id":667234179,"tweetId":"667234179","gmtCreate":1668825666591,"gmtModify":1668826380081,"author":{"id":7435754264366302,"idStr":"7435754264366302","authorId":7435754264366302,"authorIdStr":"7435754264366302","name":"cloudwin","avatar":"https://static.tigerbbs.com/45019e99d1ed6c626d6131b00381047c","vip":1,"userType":1,"introduction":"","boolIsFan":false,"boolIsHead":false,"crmLevel":1,"crmLevelSwitch":0,"individualDisplayBadges":[],"fanSize":0,"starInvestorFlag":false},"themes":[],"images":[],"coverImages":[],"html":"<html><head></head><body><p>此网友纯傻帽</p></body></html>","htmlText":"<html><head></head><body><p>此网友纯傻帽</p></body></html>","text":"此网友纯傻帽","highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"link":"https://laohu8.com/post/667234179","repostId":2284724026,"repostType":2,"repost":{"id":"2284724026","kind":"news","pubTimestamp":1668765869,"share":"https://www.laohu8.com/m/news/2284724026?lang=&edition=full","pubTime":"2022-11-18 18:04","market":"hk","language":"zh","title":"国产显卡兼容NV CUDA 网友神评:成立2年的公司比AMD做得更好","url":"https://stock-news.laohu8.com/highlight/detail?id=2284724026","media":"快科技","summary":"摩尔线程是如何做到支持CUDA的呢?国产显卡能够兼容CUDA,这让部分网友非常意外,甚至有人神评——一家成立仅2年的GPU公司在CUDA支持上比AMD做得还要好,可见他们对这件事有多么震惊。当然,调侃贵调侃,说AMD不兼容CUDA也不是全对,实际上AMD显卡也跟可以摩尔线程显卡那样兼容CUDA,可以通过HIP来变相支持CUDA,但是AMD有自己的加速计算解决方案,不会把重点放在这方面。","content":"<html><body><p>前不久摩尔线程发布了发布了新一代游戏卡S80及加速卡S3000,不仅规格诱人,而且有几个地方很关键,那就是兼容CUDA计算。</p><p>用过计算卡的都知道CUDA意味着什么,NVIDIA的加速卡能够在AI及HPC计算领域大杀四方,核心优势就是CUDA,而AMD的加速卡不那么受欢迎,也不全是性能或者架构的问题,也是缺少类似CUDA这样的生态支持。</p><p><img src=\"http://x0.ifengimg.com/res/2022/BDE0E0229628206DC0004335F8AC56B6DF5E4737_size150_w600_h378.jpg\"/></p><p>摩尔线程是如何做到支持CUDA的呢?官方之前简单介绍了一下,<strong>他们开发了CUDA ON MUSA兼容方案,用户可以将CUDA上开发的代码无缝迁移到MTT S3000。</strong></p><p>具体的技术是如何实现的,摩尔线程并没有透露太多细节,不过这个功能也在国外引发了热议,因为大家都知道CUDA是NVIDIA的独家技术。</p><p><img src=\"http://x0.ifengimg.com/res/2022/302FC9313167A09D90B29F8437827A2C56C6F8BB_size45_w600_h248.png\"/></p><p>国产显卡能够兼容CUDA,这让部分网友非常意外,甚至有人神评——<strong>一家成立仅2年的GPU公司在CUDA支持上比AMD做得还要好,可见他们对这件事有多么震惊。</strong></p><p>当然,调侃贵调侃,说AMD不兼容CUDA也不是全对,实际上AMD显卡也跟可以摩尔线程显卡那样兼容CUDA,可以通过HIP来变相支持CUDA,但是AMD有自己的加速计算解决方案,不会把重点放在这方面。</p><p>对于摩尔线程来说,<strong>除了CUDA ON MUSA兼容方案之外,他们也会推自己的解决方案,</strong>这个过程需要时间。</p><p><img src=\"http://x0.ifengimg.com/res/2022/FF43DFB54F1E476848C8C4E94D259F9BA02B41DC_size110_w600_h388.jpg\"/></p></body></html>","source":"fenghuang_stock","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>国产显卡兼容NV CUDA 网友神评:成立2年的公司比AMD做得更好</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\">\n国产显卡兼容NV CUDA 网友神评:成立2年的公司比AMD做得更好\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-11-18 18:04 北京时间 <a href=https://tech.ifeng.com/c/8L2rWbc7A1h><strong>快科技</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>前不久摩尔线程发布了发布了新一代游戏卡S80及加速卡S3000,不仅规格诱人,而且有几个地方很关键,那就是兼容CUDA计算。用过计算卡的都知道CUDA意味着什么,NVIDIA的加速卡能够在AI及HPC计算领域大杀四方,核心优势就是CUDA,而AMD的加速卡不那么受欢迎,也不全是性能或者架构的问题,也是缺少类似CUDA这样的生态支持。摩尔线程是如何做到支持CUDA的呢?官方之前简单介绍了一下,他们...</p>\n\n<a href=\"https://tech.ifeng.com/c/8L2rWbc7A1h\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"BK4529":"IDC概念","LU1988902786.USD":"FULLERTON LUX FUNDS GLOBAL ABSOLUTE ALPHA \"I\" (USD) ACC","LU0082616367.USD":"摩根大通美国科技A(dist)","BK4554":"元宇宙及AR概念","LU0719512351.SGD":"JPMorgan Funds - US Technology A (acc) SGD","BK4532":"文艺复兴科技持仓","IE00BMPRXR70.SGD":"Neuberger Berman 5G Connectivity A Acc SGD-H","BK4585":"ETF&股票定投概念","IE00BMPRXN33.USD":"NEUBERGER BERMAN 5G CONNECTIVITY \"A\" (USD) ACC","BK4534":"瑞士信贷持仓","BK4575":"芯片概念","LU2264538146.SGD":"Fullerton Lux Funds - Global Absolute Alpha A Acc SGD","BK4566":"资本集团","GFS":"GLOBALFOUNDRIES Inc.","BK4141":"半导体产品","LU1064131342.USD":"Fullerton Lux Funds - Global Absolute Alpha A Acc USD","LU1951198990.SGD":"Natixis Thematics AI & Robotics Fund H-R/A SGD-H","BK4573":"虚拟现实","LU1951200564.SGD":"Natixis Thematics AI & Robotics Fund R/A SGD","BK4512":"苹果概念","LU1923623000.USD":"Natixis Thematics AI & Robotics Fund R/A USD","AMD":"美国超微公司"},"source_url":"https://tech.ifeng.com/c/8L2rWbc7A1h","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2284724026","content_text":"前不久摩尔线程发布了发布了新一代游戏卡S80及加速卡S3000,不仅规格诱人,而且有几个地方很关键,那就是兼容CUDA计算。用过计算卡的都知道CUDA意味着什么,NVIDIA的加速卡能够在AI及HPC计算领域大杀四方,核心优势就是CUDA,而AMD的加速卡不那么受欢迎,也不全是性能或者架构的问题,也是缺少类似CUDA这样的生态支持。摩尔线程是如何做到支持CUDA的呢?官方之前简单介绍了一下,他们开发了CUDA ON MUSA兼容方案,用户可以将CUDA上开发的代码无缝迁移到MTT S3000。具体的技术是如何实现的,摩尔线程并没有透露太多细节,不过这个功能也在国外引发了热议,因为大家都知道CUDA是NVIDIA的独家技术。国产显卡能够兼容CUDA,这让部分网友非常意外,甚至有人神评——一家成立仅2年的GPU公司在CUDA支持上比AMD做得还要好,可见他们对这件事有多么震惊。当然,调侃贵调侃,说AMD不兼容CUDA也不是全对,实际上AMD显卡也跟可以摩尔线程显卡那样兼容CUDA,可以通过HIP来变相支持CUDA,但是AMD有自己的加速计算解决方案,不会把重点放在这方面。对于摩尔线程来说,除了CUDA ON MUSA兼容方案之外,他们也会推自己的解决方案,这个过程需要时间。","news_type":1},"isVote":1,"tweetType":1,"viewCount":973,"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":12,"xxTargetLangEnum":"ZH_CN"},"commentList":[],"isCommentEnd":true,"isTiger":false,"isWeiXinMini":false,"url":"/m/post/667234179"}
精彩评论