+关注
娴熟
暂无个人介绍
IP属地:未知
12
关注
8
粉丝
0
主题
0
勋章
主贴
热门
娴熟
2017-09-16
“Nvidia扫盲帖”的一点错误
$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。
“Nvidia扫盲帖”的一点错误
娴熟
2017-09-01
$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5
去老虎APP查看更多动态
{"i18n":{"language":"zh_CN"},"userPageInfo":{"id":"3455138755526104","uuid":"3455138755526104","gmtCreate":1492044737374,"gmtModify":1500986500848,"name":"娴熟","pinyin":"xsxianshu","introduction":"","introductionEn":null,"signature":"","avatar":"https://static.laohu8.com/default-avatar.jpg","hat":null,"hatId":null,"hatName":null,"vip":1,"status":2,"fanSize":8,"headSize":12,"tweetSize":2,"questionSize":0,"limitLevel":900,"accountStatus":4,"level":{"id":2,"name":"无畏虎","nameTw":"無畏虎","represent":"初生牛犊","factor":"发布3条非转发主帖,1条获得他人回复或点赞","iconColor":"3C9E83","bgColor":"A2F1D9"},"themeCounts":0,"badgeCounts":0,"badges":[],"moderator":false,"superModerator":false,"manageSymbols":null,"badgeLevel":null,"boolIsFan":false,"boolIsHead":false,"favoriteSize":0,"symbols":null,"coverImage":null,"realNameVerified":null,"userBadges":[{"badgeId":"228c86a078844d74991fff2b7ab2428d-3","templateUuid":"228c86a078844d74991fff2b7ab2428d","name":"投资合伙人虎","description":"证券账户累计交易金额达到100万美元","bigImgUrl":"https://static.tigerbbs.com/fbeac6bb240db7da8b972e5183d050ba","smallImgUrl":"https://static.tigerbbs.com/436cdf80292b99f0a992e78750ac4e3a","grayImgUrl":"https://static.tigerbbs.com/506a259a7b456f037592c3b23c779599","redirectLinkEnabled":0,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2023.07.14","exceedPercentage":"93.30%","individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1101},{"badgeId":"e50ce593bb40487ebfb542ca54f6a561-4","templateUuid":"e50ce593bb40487ebfb542ca54f6a561","name":"明星虎友","description":"加入老虎社区2000天","bigImgUrl":"https://static.tigerbbs.com/dddf24b906c7011de2617d4fb3f76987","smallImgUrl":"https://static.tigerbbs.com/53d58ad32c97254c6f74db8b97e6ec49","grayImgUrl":"https://static.tigerbbs.com/6304700d92ad91c7a33e2e92ec32ecc1","redirectLinkEnabled":0,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2022.10.05","exceedPercentage":null,"individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1001},{"badgeId":"518b5610c3e8410da5cfad115e4b0f5a-1","templateUuid":"518b5610c3e8410da5cfad115e4b0f5a","name":"实盘交易者","description":"完成一笔实盘交易","bigImgUrl":"https://static.tigerbbs.com/2e08a1cc2087a1de93402c2c290fa65b","smallImgUrl":"https://static.tigerbbs.com/4504a6397ce1137932d56e5f4ce27166","grayImgUrl":"https://static.tigerbbs.com/4b22c79415b4cd6e3d8ebc4a0fa32604","redirectLinkEnabled":0,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","exceedPercentage":null,"individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1100},{"badgeId":"35ec162348d5460f88c959321e554969-2","templateUuid":"35ec162348d5460f88c959321e554969","name":"宗师交易员","description":"证券或期货账户累计交易次数达到100次","bigImgUrl":"https://static.tigerbbs.com/ad22cfbe2d05aa393b18e9226e4b0307","smallImgUrl":"https://static.tigerbbs.com/36702e6ff3ffe46acafee66cc85273ca","grayImgUrl":"https://static.tigerbbs.com/d52eb88fa385cf5abe2616ed63781765","redirectLinkEnabled":0,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","exceedPercentage":"80.54%","individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1100}],"userBadgeCount":4,"currentWearingBadge":null,"individualDisplayBadges":null,"crmLevel":1,"crmLevelSwitch":0,"location":"未知","starInvestorFollowerNum":0,"starInvestorFlag":false,"starInvestorOrderShareNum":0,"subscribeStarInvestorNum":0,"ror":null,"winRationPercentage":null,"showRor":false,"investmentPhilosophy":null,"starInvestorSubscribeFlag":false},"baikeInfo":{},"tab":"post","tweets":[{"id":95980,"gmtCreate":1505547836721,"gmtModify":1704881321636,"author":{"id":"3455138755526104","authorId":"3455138755526104","name":"娴熟","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3455138755526104","authorIdStr":"3455138755526104"},"themes":[],"title":"“Nvidia扫盲帖”的一点错误","htmlText":"$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。","listText":"$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。","text":"$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。","images":[],"top":1,"highlighted":2,"essential":2,"paper":2,"likeSize":8,"commentSize":83,"repostSize":0,"link":"https://laohu8.com/post/95980","isVote":1,"tweetType":1,"viewCount":8538,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3451648860565086","authorId":"3451648860565086","name":"Danazy","avatar":"https://static.laohu8.com/f1e9f5ea43e4478e6a0e64aa387c4f3b","crmLevel":7,"crmLevelSwitch":0,"idStr":"3451648860565086","authorIdStr":"3451648860565086"},"content":"显卡这东西,只要制程一样,基本上多少功耗就代表多少运算力,NVIDIA的游戏卡之所以玩游戏功耗低但性能是因为NVIDIA**了显卡的双精度计算能力,而AMD使用完整的双精度计算,这也是矿卡偏爱AMD的原因。","text":"显卡这东西,只要制程一样,基本上多少功耗就代表多少运算力,NVIDIA的游戏卡之所以玩游戏功耗低但性能是因为NVIDIA**了显卡的双精度计算能力,而AMD使用完整的双精度计算,这也是矿卡偏爱AMD的原因。","html":"显卡这东西,只要制程一样,基本上多少功耗就代表多少运算力,NVIDIA的游戏卡之所以玩游戏功耗低但性能是因为NVIDIA**了显卡的双精度计算能力,而AMD使用完整的双精度计算,这也是矿卡偏爱AMD的原因。"}],"imageCount":0,"langContent":"CN","totalScore":0},{"id":91566,"gmtCreate":1504264482484,"gmtModify":1704880902763,"author":{"id":"3455138755526104","authorId":"3455138755526104","name":"娴熟","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3455138755526104","authorIdStr":"3455138755526104"},"themes":[],"htmlText":"$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5","listText":"$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5","text":"$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":6,"repostSize":0,"link":"https://laohu8.com/post/91566","isVote":1,"tweetType":1,"viewCount":1701,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3451648860565086","authorId":"3451648860565086","name":"Danazy","avatar":"https://static.laohu8.com/f1e9f5ea43e4478e6a0e64aa387c4f3b","crmLevel":7,"crmLevelSwitch":0,"idStr":"3451648860565086","authorIdStr":"3451648860565086"},"content":"自从我看到机构一天把15.6的股价砸到13.9...我就...","text":"自从我看到机构一天把15.6的股价砸到13.9...我就...","html":"自从我看到机构一天把15.6的股价砸到13.9...我就..."}],"imageCount":0,"langContent":"CN","totalScore":0}],"hots":[{"id":95980,"gmtCreate":1505547836721,"gmtModify":1704881321636,"author":{"id":"3455138755526104","authorId":"3455138755526104","name":"娴熟","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3455138755526104","authorIdStr":"3455138755526104"},"themes":[],"title":"“Nvidia扫盲帖”的一点错误","htmlText":"$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。","listText":"$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。","text":"$AMD(AMD)$ 1 目前版本的运算卡是P100,国内售价5万。1080ti是游戏卡。 2 开发框架是 caffe,tensorflow这些,cuda是sdk,是显卡对外的交互层。AMD现在用的是opencl,正在开发的是rocm。只要开发框架对rocm适配,用什么卡对于普通程序员根本无所谓。适配工作正在进行中。有限的消息,Vega fe的性能跟p100差不多,售价1000刀。 3 不是神经网络跟gpu架构像,是神经网络的计算非常简单,可并行度高。而gpu本来就是用来做并行计算的。不过这种简单暴力的计算是AMD显卡的强项,从挖矿来看。 4 英伟达的卡太贵了,8卡机上百万。大公司一次采购就是几千上万块卡。个人感觉他们不会把自己的蛋蛋放在英伟达手里。百度已经开始和AMD深度合作了。","images":[],"top":1,"highlighted":2,"essential":2,"paper":2,"likeSize":8,"commentSize":83,"repostSize":0,"link":"https://laohu8.com/post/95980","isVote":1,"tweetType":1,"viewCount":8538,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3451648860565086","authorId":"3451648860565086","name":"Danazy","avatar":"https://static.laohu8.com/f1e9f5ea43e4478e6a0e64aa387c4f3b","crmLevel":7,"crmLevelSwitch":0,"idStr":"3451648860565086","authorIdStr":"3451648860565086"},"content":"显卡这东西,只要制程一样,基本上多少功耗就代表多少运算力,NVIDIA的游戏卡之所以玩游戏功耗低但性能是因为NVIDIA**了显卡的双精度计算能力,而AMD使用完整的双精度计算,这也是矿卡偏爱AMD的原因。","text":"显卡这东西,只要制程一样,基本上多少功耗就代表多少运算力,NVIDIA的游戏卡之所以玩游戏功耗低但性能是因为NVIDIA**了显卡的双精度计算能力,而AMD使用完整的双精度计算,这也是矿卡偏爱AMD的原因。","html":"显卡这东西,只要制程一样,基本上多少功耗就代表多少运算力,NVIDIA的游戏卡之所以玩游戏功耗低但性能是因为NVIDIA**了显卡的双精度计算能力,而AMD使用完整的双精度计算,这也是矿卡偏爱AMD的原因。"}],"imageCount":0,"langContent":"CN","totalScore":0},{"id":91566,"gmtCreate":1504264482484,"gmtModify":1704880902763,"author":{"id":"3455138755526104","authorId":"3455138755526104","name":"娴熟","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3455138755526104","authorIdStr":"3455138755526104"},"themes":[],"htmlText":"$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5","listText":"$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5","text":"$AMD(AMD)$ 今天机构任务很重啊,要砸到12.5","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":6,"repostSize":0,"link":"https://laohu8.com/post/91566","isVote":1,"tweetType":1,"viewCount":1701,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3451648860565086","authorId":"3451648860565086","name":"Danazy","avatar":"https://static.laohu8.com/f1e9f5ea43e4478e6a0e64aa387c4f3b","crmLevel":7,"crmLevelSwitch":0,"idStr":"3451648860565086","authorIdStr":"3451648860565086"},"content":"自从我看到机构一天把15.6的股价砸到13.9...我就...","text":"自从我看到机构一天把15.6的股价砸到13.9...我就...","html":"自从我看到机构一天把15.6的股价砸到13.9...我就..."}],"imageCount":0,"langContent":"CN","totalScore":0}],"lives":[]}