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好好调整心态

05-12

$老虎证券(TIGR)$ 别人涨得多跌了，你没涨凭啥跌

好好调整心态

05-12

$迅雷(XNET)$ 别人涨得多跌了，你没涨凭啥跌

好好调整心态

01-22

$理想汽车(LI)$ 昨天卖了今天就拉升？

好好调整心态

2025-11-12

小米不及预期？一个月近5万不及预期？你预期是多少？

抱歉，原内容已删除

好好调整心态

2025-09-05

这篇文章不错，转发给大家看看

@芝能汽车:谷歌在推理时代的架构Ironwood TPU | HotChips2025

好好调整心态

2025-09-02

$霸王茶姬(CHA)$ 这个破股老子亏了30多个点了

好好调整心态

2025-08-27

国内前五水平了啊

抱歉，原内容已删除

好好调整心态

2025-02-20

$哔哩哔哩(BILI)$ 今天可以破24么？

好好调整心态

2024-03-28

这个价格绝对有诚意了

抱歉，原内容已删除

好好调整心态

2020-06-17

$跟谁学(GSX)$我已经爆仓，你们玩

好好调整心态

2020-06-15

$跟谁学(GSX)$老子做空被爆仓了，强制平仓，这个狗屁玩意

好好调整心态

2020-04-08

我2018年研究过这个公司，当时差点倒闭了，开始核心业务是做的教育行业去哪儿模式，结果发现走不通。做流量贩卖的生意，自己也没流量，也留不住用户的复购。

抱歉，原内容已删除

好好调整心态

2017-11-28

$陌陌(MOMO)$陌陌阿里退出是好事啊，阿里参与事情多啊，反而不利于公司发展，看看美团就知道

好好调整心态

2017-11-09

$搜狗(SOGO)$中了100

好好调整心态

2017-11-02

$迅雷(XNET)$这轮涨是因为什么？有大佬解释一下么？

好好调整心态

2017-05-22

早知道开盘就扔了

$猎豹移动(CMCM)$少了7个点

早知道开盘就扔了

好好调整心态

2017-05-10

财报好为什么下跌

$欢聚时代(YY)$为什么

财报好为什么下跌

好好调整心态

2017-05-08

为什么盘前挂单成交不了

$京东(JD)$我挂了个单一直没成交，价格超过都没成交，为什么？

为什么盘前挂单成交不了

去老虎APP查看更多动态

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href=\"https://laohu8.com/S/TIGR\">$老虎证券(TIGR)$</a> 别人涨得多跌了，你没涨凭啥跌","listText":"<a href=\"https://laohu8.com/S/TIGR\">$老虎证券(TIGR)$</a> 别人涨得多跌了，你没涨凭啥跌","text":"$老虎证券(TIGR)$ 别人涨得多跌了，你没涨凭啥跌","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/563466578941656","isVote":1,"tweetType":1,"viewCount":186,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":563466742773064,"gmtCreate":1778599455405,"gmtModify":1778599457358,"author":{"id":"3437287087822936","authorId":"3437287087822936","name":"好好调整心态","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3437287087822936","idStr":"3437287087822936"},"themes":[],"title":"","htmlText":"<a href=\"https://laohu8.com/S/XNET\">$迅雷(XNET)$</a> 别人涨得多跌了，你没涨凭啥跌","listText":"<a href=\"https://laohu8.com/S/XNET\">$迅雷(XNET)$</a> 别人涨得多跌了，你没涨凭啥跌","text":"$迅雷(XNET)$ 别人涨得多跌了，你没涨凭啥跌","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/563466742773064","isVote":1,"tweetType":1,"viewCount":272,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":524766152192440,"gmtCreate":1769092536931,"gmtModify":1769092538735,"author":{"id":"3437287087822936","authorId":"3437287087822936","name":"好好调整心态","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3437287087822936","idStr":"3437287087822936"},"themes":[],"title":"","htmlText":"<a href=\"https://laohu8.com/S/LI\">$理想汽车(LI)$&nbsp;</a> 昨天卖了今天就拉升？","listText":"<a href=\"https://laohu8.com/S/LI\">$理想汽车(LI)$&nbsp;</a> 昨天卖了今天就拉升？","text":"$理想汽车(LI)$ 昨天卖了今天就拉升？","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":1,"repostSize":0,"link":"https://laohu8.com/post/524766152192440","isVote":1,"tweetType":1,"viewCount":2073,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":499222662619224,"gmtCreate":1762906163613,"gmtModify":1762906166034,"author":{"id":"3437287087822936","authorId":"3437287087822936","name":"好好调整心态","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3437287087822936","idStr":"3437287087822936"},"themes":[],"title":"","htmlText":"小米不及预期？一个月近5万不及预期？你预期是多少？","listText":"小米不及预期？一个月近5万不及预期？你预期是多少？","text":"小米不及预期？一个月近5万不及预期？你预期是多少？","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/499222662619224","repostId":"1187978017","repostType":2,"isVote":1,"tweetType":1,"viewCount":1846,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":475455825350672,"gmtCreate":1757081365278,"gmtModify":1757081366877,"author":{"id":"3437287087822936","authorId":"3437287087822936","name":"好好调整心态","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3437287087822936","idStr":"3437287087822936"},"themes":[],"title":"","htmlText":"这篇文章不错，转发给大家看看","listText":"这篇文章不错，转发给大家看看","text":"这篇文章不错，转发给大家看看","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/475455825350672","repostId":"474655302779216","repostType":1,"repost":{"id":474655302779216,"gmtCreate":1756774680000,"gmtModify":1756911459611,"author":{"id":"10000000000010662","authorId":"10000000000010662","name":"芝能汽车","avatar":"https://static.tigerbbs.com/336727d832ab95004d9b13efcaa8b9b2","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"10000000000010662","idStr":"10000000000010662"},"themes":[],"title":"谷歌在推理时代的架构Ironwood TPU | HotChips2025","htmlText":"芝能智芯出品 在 2025 年 Hot Chips 大会上，谷歌详解介绍了 Ironwood 的新一代张量处理单元（TPU），并以此成为大会机器学习专场的焦点。 与以往的 TPU 产品相比，Ironwood 最大的特点在于它是谷歌首次明确定位于大规模推理而非训练的计算芯片，从单纯的模型训练走向大规模推理部署的现实需求。 Part 1 推理为核心： Ironwood 的定位与架构突破 长期以来，TPU 的设计更多面向训练任务，强调在极大规模参数下的矩阵计算能力，大模型逐步进入实际应用场景，推理任务所需的算力和能效比已经成为新的瓶颈。 Ironwood 并非是训练与推理通用的折中方案，真正针对推理优化的体系架构。 从硬件组织层面来看，Ironwood 最大的变化体现在 SuperPod 的扩展能力。通过光路交换机（OCS）的引入，一个 Pod 内最多能够支持 9,216 颗芯片，远超上一代 TPUv4 的 4,096 芯片规模。 谷歌在构建超大规模 AI 集群时，可以在单一体系下提供高达 42.5 百亿亿次浮点运算的峰值性能。 更为关键的是，OCS 的灵活互联让系统能够在硬件失效时通过检查点恢复和重构，保持整体可用性，这对于需要长时间运行、几乎不允许宕机的推理服务而言至关重要。 在存储架构上，Ironwood 采用了最新的 HBM3e 技术，单芯片配置 192GB 高带宽内存，总体可扩展至 1.77PB 的共享寻址空间，提升了对大模型参数的直接加载能力，也降低了因频繁数据交换带来的延迟与功耗。 谷歌强调，内存系统是其架构中最重要的优化方向之一，这与大语言模型在推理时对内存带宽和容量的极高依赖高度契合。 Ironwood 还是谷歌首次采用多计算芯片组的 TPU，每个封装内集成两个计算芯片。 通过突破单一光罩尺寸的限制，谷歌能够在不牺牲良率的前提下进一步提升单芯片的计算密度，标志着","listText":"芝能智芯出品 在 2025 年 Hot Chips 大会上，谷歌详解介绍了 Ironwood 的新一代张量处理单元（TPU），并以此成为大会机器学习专场的焦点。 与以往的 TPU 产品相比，Ironwood 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并非是训练与推理通用的折中方案，真正针对推理优化的体系架构。 从硬件组织层面来看，Ironwood 最大的变化体现在 SuperPod 的扩展能力。通过光路交换机（OCS）的引入，一个 Pod 内最多能够支持 9,216 颗芯片，远超上一代 TPUv4 的 4,096 芯片规模。 谷歌在构建超大规模 AI 集群时，可以在单一体系下提供高达 42.5 百亿亿次浮点运算的峰值性能。 更为关键的是，OCS 的灵活互联让系统能够在硬件失效时通过检查点恢复和重构，保持整体可用性，这对于需要长时间运行、几乎不允许宕机的推理服务而言至关重要。 在存储架构上，Ironwood 采用了最新的 HBM3e 技术，单芯片配置 192GB 高带宽内存，总体可扩展至 1.77PB 的共享寻址空间，提升了对大模型参数的直接加载能力，也降低了因频繁数据交换带来的延迟与功耗。 谷歌强调，内存系统是其架构中最重要的优化方向之一，这与大语言模型在推理时对内存带宽和容量的极高依赖高度契合。 Ironwood 还是谷歌首次采用多计算芯片组的 TPU，每个封装内集成两个计算芯片。 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