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不高兴的小欣
03-17

垃圾文章

黄仁勋和马云都在抢，看清Token背后的商业模式

就在前一天，阿里巴巴成立Token Hub事业群，CEO吴泳铭亲自挂帅。黄仁勋给了一个比喻：Token是数字世界的石油。黄仁勋在演讲中首次公开了Token的分层定价体系。只要AI还在跑，Token就在烧。能带来Token增长的部门留下，不能的边缘化。吴泳铭在内部信中直言，“这些AI Agent将由模型产生的Token支撑运行”。而Agent不睡觉，24小时运转，意味着Token需求是持续性的、高频复购的。英伟达有技术壁垒和生态锁定，单位Token成本有压倒性优势。

黄仁勋和马云都在抢，看清Token背后的商业模式

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14:47","market":"sh","language":"zh","title":"黄仁勋和马云都在抢，看清Token背后的商业模式","url":"https://stock-news.laohu8.com/highlight/detail?id=2620469894","media":"和讯网","summary":"就在前一天，阿里巴巴成立Token Hub事业群，CEO吴泳铭亲自挂帅。黄仁勋给了一个比喻：Token是数字世界的石油。黄仁勋在演讲中首次公开了Token的分层定价体系。只要AI还在跑，Token就在烧。能带来Token增长的部门留下，不能的边缘化。吴泳铭在内部信中直言，“这些AI Agent将由模型产生的Token支撑运行”。而Agent不睡觉，24小时运转，意味着Token需求是持续性的、高频复购的。英伟达有技术壁垒和生态锁定，单位Token成本有压倒性优势。","content":"<html><body><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722449.jpg\"/></p><p>昨晚，<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>CEO黄仁勋发表GTC 2026主题演讲。就在前一天，<a href=\"https://laohu8.com/S/BABA\">阿里巴巴</a>成立Token Hub事业群，CEO吴泳铭亲自挂帅。</p><p>两家巨头，同一天，盯上同一个东西：Token。Token到底怎么赚钱？咱们今天把它讲清楚。</p><p><img src=\"https://fwfile-1257474221.cos.ap-shanghai.myqcloud.com/weixinimg_temp/2026/20260317/f047d97e6ab2fc87bddf520fe82ecc9b.png\"/></p><p><b><strong>Token是什么？</strong></b></p><p>黄仁勋给了一个比喻：<strong>Token是数字世界的石油</strong>。</p><p>你问ChatGPT一句、生成一段视频、让机器人动一下，消耗的都是Token。它是AI理解和生成信息的基本单位，也是未来所有智能服务的计量单位。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722450.png\"/></p><p>Token怎么收费？企业要付多少钱？</p><p>黄仁勋在演讲中首次公开了Token的分层定价体系。这不是概念，是真金白银的收费标准：</p><p>免费层：高吞吐量、低速度，用于吸引用户</p><p>基础层：每百万Token 3美元，服务普通用户</p><p>进阶层：每百万Token 6美元，更大模型、更快速度</p><p>高速层：每百万Token 45美元，支持长上下文、深度推理</p><p>顶级层：每百万Token 150美元，面向超长研究任务、关键路径实时响应</p><p>黄仁勋算了一笔账：“一个研究员每天用5000万Token，按每百万150美元计算，对一个研究团队来说完全可以接受。”</p><p>这意味着什么？Token不是一次性买卖，而是持续性消耗。你今天烧完，明天还得烧。只要AI还在跑，Token就在烧。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722451.png\"/></p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722452.png\"/></p><p>CUDA的商业模式：为什么黄仁勋敢说“算力越用越便宜”</p><p>那英伟达怎么靠Token赚钱？核心是<strong>CUDA</strong>。你可以把它理解成AI世界的“操作系统”。所有AI应用都得跑在CUDA上，就像所有手机应用都得跑在安卓或iOS上。</p><p><strong>CUDA的护城河是数亿级的安装基数</strong>。</p><p>英伟达花了20年时间，让数亿块GPU跑CUDA系统，进入每一朵云、每一家计算机公司、几乎每一个行业。这个安装基数造就了一个飞轮效应：安装基数大，吸引全球开发者；开发者创造新算法，催生新市场；新市场需要更多算力，进一步扩大安装基数。</p><p><strong>飞轮转动的结果，就是算力成本持续下降。</strong></p><p>黄仁勋举了一个反直觉的例子：六年前出货的Ampere架构GPU，现在在云端的定价反而在上涨。为什么？因为在这块老芯片上能跑的应用越来越多，而且英伟达每优化一次软件，所有存量用户都能免费提速。</p><p>这意味着什么？你今天买的算力，过几年不仅不过时，反而可能更值钱。这在硬件行业，几乎是天方夜谭。</p><p>黄仁勋的原话是：“<strong>一旦安装了NVIDIA GPU，就能获得长期的性能迭代。不仅是初期的加速，更是持续的成本降低</strong>。”</p><p>这就是CUDA的商业模式：<strong>靠硬件建立安装基数，靠软件持续创造价值，靠生态锁定用户</strong>。全球数亿块GPU都在跑CUDA，每消耗一个Token，都得从英伟达的平台过一遍。</p><p>这就把整个商业逻辑改了。以前企业买AI卡，是一次性开支，属于资本支出。买了就完事，后面跟供应商没关系。现在AI卡变成生产Token的生产线，企业花钱从“买设备”变成了“买燃料”。今天烧完明天还得买，从一次性开支变成了持续性运营。</p><p>这叫<strong>收租</strong>。你今天交，明天还得交。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722453.png\"/></p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722454.png\"/></p><p><b><strong>阿里为什么连夜进场？一场不得不打的硬仗</strong></b></p><p>再看阿里这边的动作。3月16日，<a href=\"https://laohu8.com/S/09988\">阿里巴巴</a>成立Alibaba Token Hub事业群，CEO吴泳铭亲自挂帅，把目标拆成三块：<strong>创造Token、输送Token、应用Token</strong>。</p><p>阿里为什么要这么急？</p><p>核心痛点在于：<strong>AI能力太分散</strong>。过去两年，阿里的AI散落在通义实验室、阿里云、钉钉、淘天等各个体系，各团队各干各的，资源重复投入，协同成本越来越高。用户认知也很模糊——通义千问、千问App、夸克AI，同一套技术冒出好几个产品，用户根本分不清。</p><p>就在12天前，“千问灵魂人物”林俊旸突然离职，背后正是“科学家想发论文、管理层想要营收”的撕裂。这种冲突在AI行业并不少见。</p><p>吴泳铭的解法很直接：<strong>把Token变成唯一的指挥棒</strong>。未来阿里的评价体系，不再争论技术路线谁对谁错，而是直接折算成Token的调用量和营收。能带来Token增长的部门留下，不能的边缘化。</p><p>更深层的逻辑是：阿里判断，未来所有数字化工作，都由数以百亿计的AI Agent支撑。吴泳铭在内部信中直言，“这些AI Agent将由模型产生的Token支撑运行”。而Agent不睡觉，24小时运转，意味着Token需求是持续性的、高频复购的。</p><p>如果把Token比作AI时代的“电”，两家巨头的角色很清晰：<strong>英伟达</strong>是“<strong>发电设备制造商</strong>”。它卖发电机、建发电厂，靠CUDA生态锁定客户，让所有AI应用都得从它的平台过一遍。</p><p><strong>阿里</strong>是“<strong>电网公司+用电大户</strong>”。它有通义实验室负责创造Token，有MaaS平台负责输送Token，还有千问、悟空这些负责消耗Token。从C端的AI助手，到B端的企业工作流，阿里想打通“发电-输电-用电”的完整闭环。</p><p>谁的优势更大？英伟达有技术壁垒和生态锁定，单位Token成本有压倒性优势。阿里有场景和数据——电商、云、钉钉、高德、饿了么，每天产生<a href=\"https://laohu8.com/S/603138\">海量数据</a>(603138)，也每天消耗海量Token。如果能把闭环跑通，Token在阿里体系内就能自我循环、自我增值。</p><p>巨头已经在真金白银抢赛道了。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722455.png\"/></p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722456.png\"/></p><p><b><strong>Token生意的终局</strong></b></p><p>Token这个生意，本质是<strong>把算力从“资产”变成了“服务”</strong>。从一次性买卖，变成了持续收费。从卖铲子，变成了卖石油。</p><p>谁掌握了最低的Token生产成本，谁就掌握了AI时代的定价权。</p><p>英伟达有20年积累的CUDA生态，有数亿的安装基数，有每优化一次软件就能惠及所有用户的规模优势。阿里有完整的业务场景，有把Token当成战略资源来打的决心。</p><p>两家巨头，同一个判断：<strong>Token是AI时代的硬通货</strong>。至于英伟达的股价什么时候能回来？等市场不再把它当硬件公司，而是<strong>当AI基础设施平台估值的那一天</strong>。</p></body></html>","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>黄仁勋和马云都在抢，看清Token背后的商业模式</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; 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src=\"https://fs-cms.hexun.com/img/2026-03-17/223722449.jpg\"/></p><p>昨晚，<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>CEO黄仁勋发表GTC 2026主题演讲。就在前一天，<a href=\"https://laohu8.com/S/BABA\">阿里巴巴</a>成立Token Hub事业群，CEO吴泳铭亲自挂帅。</p><p>两家巨头，同一天，盯上同一个东西：Token。Token到底怎么赚钱？咱们今天把它讲清楚。</p><p><img src=\"https://fwfile-1257474221.cos.ap-shanghai.myqcloud.com/weixinimg_temp/2026/20260317/f047d97e6ab2fc87bddf520fe82ecc9b.png\"/></p><p><b><strong>Token是什么？</strong></b></p><p>黄仁勋给了一个比喻：<strong>Token是数字世界的石油</strong>。</p><p>你问ChatGPT一句、生成一段视频、让机器人动一下，消耗的都是Token。它是AI理解和生成信息的基本单位，也是未来所有智能服务的计量单位。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722450.png\"/></p><p>Token怎么收费？企业要付多少钱？</p><p>黄仁勋在演讲中首次公开了Token的分层定价体系。这不是概念，是真金白银的收费标准：</p><p>免费层：高吞吐量、低速度，用于吸引用户</p><p>基础层：每百万Token 3美元，服务普通用户</p><p>进阶层：每百万Token 6美元，更大模型、更快速度</p><p>高速层：每百万Token 45美元，支持长上下文、深度推理</p><p>顶级层：每百万Token 150美元，面向超长研究任务、关键路径实时响应</p><p>黄仁勋算了一笔账：“一个研究员每天用5000万Token，按每百万150美元计算，对一个研究团队来说完全可以接受。”</p><p>这意味着什么？Token不是一次性买卖，而是持续性消耗。你今天烧完，明天还得烧。只要AI还在跑，Token就在烧。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722451.png\"/></p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722452.png\"/></p><p>CUDA的商业模式：为什么黄仁勋敢说“算力越用越便宜”</p><p>那英伟达怎么靠Token赚钱？核心是<strong>CUDA</strong>。你可以把它理解成AI世界的“操作系统”。所有AI应用都得跑在CUDA上，就像所有手机应用都得跑在安卓或iOS上。</p><p><strong>CUDA的护城河是数亿级的安装基数</strong>。</p><p>英伟达花了20年时间，让数亿块GPU跑CUDA系统，进入每一朵云、每一家计算机公司、几乎每一个行业。这个安装基数造就了一个飞轮效应：安装基数大，吸引全球开发者；开发者创造新算法，催生新市场；新市场需要更多算力，进一步扩大安装基数。</p><p><strong>飞轮转动的结果，就是算力成本持续下降。</strong></p><p>黄仁勋举了一个反直觉的例子：六年前出货的Ampere架构GPU，现在在云端的定价反而在上涨。为什么？因为在这块老芯片上能跑的应用越来越多，而且英伟达每优化一次软件，所有存量用户都能免费提速。</p><p>这意味着什么？你今天买的算力，过几年不仅不过时，反而可能更值钱。这在硬件行业，几乎是天方夜谭。</p><p>黄仁勋的原话是：“<strong>一旦安装了NVIDIA GPU，就能获得长期的性能迭代。不仅是初期的加速，更是持续的成本降低</strong>。”</p><p>这就是CUDA的商业模式：<strong>靠硬件建立安装基数，靠软件持续创造价值，靠生态锁定用户</strong>。全球数亿块GPU都在跑CUDA，每消耗一个Token，都得从英伟达的平台过一遍。</p><p>这就把整个商业逻辑改了。以前企业买AI卡，是一次性开支，属于资本支出。买了就完事，后面跟供应商没关系。现在AI卡变成生产Token的生产线，企业花钱从“买设备”变成了“买燃料”。今天烧完明天还得买，从一次性开支变成了持续性运营。</p><p>这叫<strong>收租</strong>。你今天交，明天还得交。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722453.png\"/></p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722454.png\"/></p><p><b><strong>阿里为什么连夜进场？一场不得不打的硬仗</strong></b></p><p>再看阿里这边的动作。3月16日，<a href=\"https://laohu8.com/S/09988\">阿里巴巴</a>成立Alibaba Token Hub事业群，CEO吴泳铭亲自挂帅，把目标拆成三块：<strong>创造Token、输送Token、应用Token</strong>。</p><p>阿里为什么要这么急？</p><p>核心痛点在于：<strong>AI能力太分散</strong>。过去两年，阿里的AI散落在通义实验室、阿里云、钉钉、淘天等各个体系，各团队各干各的，资源重复投入，协同成本越来越高。用户认知也很模糊——通义千问、千问App、夸克AI，同一套技术冒出好几个产品，用户根本分不清。</p><p>就在12天前，“千问灵魂人物”林俊旸突然离职，背后正是“科学家想发论文、管理层想要营收”的撕裂。这种冲突在AI行业并不少见。</p><p>吴泳铭的解法很直接：<strong>把Token变成唯一的指挥棒</strong>。未来阿里的评价体系，不再争论技术路线谁对谁错，而是直接折算成Token的调用量和营收。能带来Token增长的部门留下，不能的边缘化。</p><p>更深层的逻辑是：阿里判断，未来所有数字化工作，都由数以百亿计的AI Agent支撑。吴泳铭在内部信中直言，“这些AI Agent将由模型产生的Token支撑运行”。而Agent不睡觉，24小时运转，意味着Token需求是持续性的、高频复购的。</p><p>如果把Token比作AI时代的“电”，两家巨头的角色很清晰：<strong>英伟达</strong>是“<strong>发电设备制造商</strong>”。它卖发电机、建发电厂，靠CUDA生态锁定客户，让所有AI应用都得从它的平台过一遍。</p><p><strong>阿里</strong>是“<strong>电网公司+用电大户</strong>”。它有通义实验室负责创造Token，有MaaS平台负责输送Token，还有千问、悟空这些负责消耗Token。从C端的AI助手，到B端的企业工作流，阿里想打通“发电-输电-用电”的完整闭环。</p><p>谁的优势更大？英伟达有技术壁垒和生态锁定，单位Token成本有压倒性优势。阿里有场景和数据——电商、云、钉钉、高德、饿了么，每天产生<a href=\"https://laohu8.com/S/603138\">海量数据</a>(603138)，也每天消耗海量Token。如果能把闭环跑通，Token在阿里体系内就能自我循环、自我增值。</p><p>巨头已经在真金白银抢赛道了。</p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722455.png\"/></p><p><img src=\"https://fs-cms.hexun.com/img/2026-03-17/223722456.png\"/></p><p><b><strong>Token生意的终局</strong></b></p><p>Token这个生意，本质是<strong>把算力从“资产”变成了“服务”</strong>。从一次性买卖，变成了持续收费。从卖铲子，变成了卖石油。</p><p>谁掌握了最低的Token生产成本，谁就掌握了AI时代的定价权。</p><p>英伟达有20年积累的CUDA生态，有数亿的安装基数，有每优化一次软件就能惠及所有用户的规模优势。阿里有完整的业务场景，有把Token当成战略资源来打的决心。</p><p>两家巨头，同一个判断：<strong>Token是AI时代的硬通货</strong>。至于英伟达的股价什么时候能回来？等市场不再把它当硬件公司，而是<strong>当AI基础设施平台估值的那一天</strong>。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"89988":"阿里巴巴-WR","LU0964807845.USD":"ALLIANZ INCOME & GROWTH \"A\" (USD) INC","LU0276348264.USD":"THREADNEEDLE (LUX) GLOBAL DYNAMIC REAL RETURN\"AUP\" (USD) INC","LU1861127337.USD":"ALLIANZ GLOBAL MULTI ASSET SUSTAINABILITY BALANCED \"AMG\" (USD) 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150美元，面向超长研究任务、关键路径实时响应黄仁勋算了一笔账：“一个研究员每天用5000万Token，按每百万150美元计算，对一个研究团队来说完全可以接受。”这意味着什么？Token不是一次性买卖，而是持续性消耗。你今天烧完，明天还得烧。只要AI还在跑，Token就在烧。CUDA的商业模式：为什么黄仁勋敢说“算力越用越便宜”那英伟达怎么靠Token赚钱？核心是CUDA。你可以把它理解成AI世界的“操作系统”。所有AI应用都得跑在CUDA上，就像所有手机应用都得跑在安卓或iOS上。CUDA的护城河是数亿级的安装基数。英伟达花了20年时间，让数亿块GPU跑CUDA系统，进入每一朵云、每一家计算机公司、几乎每一个行业。这个安装基数造就了一个飞轮效应：安装基数大，吸引全球开发者；开发者创造新算法，催生新市场；新市场需要更多算力，进一步扩大安装基数。飞轮转动的结果，就是算力成本持续下降。黄仁勋举了一个反直觉的例子：六年前出货的Ampere架构GPU，现在在云端的定价反而在上涨。为什么？因为在这块老芯片上能跑的应用越来越多，而且英伟达每优化一次软件，所有存量用户都能免费提速。这意味着什么？你今天买的算力，过几年不仅不过时，反而可能更值钱。这在硬件行业，几乎是天方夜谭。黄仁勋的原话是：“一旦安装了NVIDIA GPU，就能获得长期的性能迭代。不仅是初期的加速，更是持续的成本降低。”这就是CUDA的商业模式：靠硬件建立安装基数，靠软件持续创造价值，靠生态锁定用户。全球数亿块GPU都在跑CUDA，每消耗一个Token，都得从英伟达的平台过一遍。这就把整个商业逻辑改了。以前企业买AI卡，是一次性开支，属于资本支出。买了就完事，后面跟供应商没关系。现在AI卡变成生产Token的生产线，企业花钱从“买设备”变成了“买燃料”。今天烧完明天还得买，从一次性开支变成了持续性运营。这叫收租。你今天交，明天还得交。阿里为什么连夜进场？一场不得不打的硬仗再看阿里这边的动作。3月16日，阿里巴巴成立Alibaba Token Hub事业群，CEO吴泳铭亲自挂帅，把目标拆成三块：创造Token、输送Token、应用Token。阿里为什么要这么急？核心痛点在于：AI能力太分散。过去两年，阿里的AI散落在通义实验室、阿里云、钉钉、淘天等各个体系，各团队各干各的，资源重复投入，协同成本越来越高。用户认知也很模糊——通义千问、千问App、夸克AI，同一套技术冒出好几个产品，用户根本分不清。就在12天前，“千问灵魂人物”林俊旸突然离职，背后正是“科学家想发论文、管理层想要营收”的撕裂。这种冲突在AI行业并不少见。吴泳铭的解法很直接：把Token变成唯一的指挥棒。未来阿里的评价体系，不再争论技术路线谁对谁错，而是直接折算成Token的调用量和营收。能带来Token增长的部门留下，不能的边缘化。更深层的逻辑是：阿里判断，未来所有数字化工作，都由数以百亿计的AI Agent支撑。吴泳铭在内部信中直言，“这些AI Agent将由模型产生的Token支撑运行”。而Agent不睡觉，24小时运转，意味着Token需求是持续性的、高频复购的。如果把Token比作AI时代的“电”，两家巨头的角色很清晰：英伟达是“发电设备制造商”。它卖发电机、建发电厂，靠CUDA生态锁定客户，让所有AI应用都得从它的平台过一遍。阿里是“电网公司+用电大户”。它有通义实验室负责创造Token，有MaaS平台负责输送Token，还有千问、悟空这些负责消耗Token。从C端的AI助手，到B端的企业工作流，阿里想打通“发电-输电-用电”的完整闭环。谁的优势更大？英伟达有技术壁垒和生态锁定，单位Token成本有压倒性优势。阿里有场景和数据——电商、云、钉钉、高德、饿了么，每天产生海量数据(603138)，也每天消耗海量Token。如果能把闭环跑通，Token在阿里体系内就能自我循环、自我增值。巨头已经在真金白银抢赛道了。Token生意的终局Token这个生意，本质是把算力从“资产”变成了“服务”。从一次性买卖，变成了持续收费。从卖铲子，变成了卖石油。谁掌握了最低的Token生产成本，谁就掌握了AI时代的定价权。英伟达有20年积累的CUDA生态，有数亿的安装基数，有每优化一次软件就能惠及所有用户的规模优势。阿里有完整的业务场景，有把Token当成战略资源来打的决心。两家巨头，同一个判断：Token是AI时代的硬通货。至于英伟达的股价什么时候能回来？等市场不再把它当硬件公司，而是当AI基础设施平台估值的那一天。","news_type":1,"symbols_score_info":{"89988":0.6,"NVDD":0.6,"BABU":0.6,"NVDY":0.6,"HBBD.SI":0.6,"NVD":0.6,"3NVD.UK":0.6,"2NVD.UK":0.6,"ALBmain":0.6,"NVDA":1.98,"BABA":1.87,"ANV":0.6,"NVDS.UK":0.6,"NVD2.UK":0.6,"NVDB":0.6,"BABW":0.6,"NVDS":0.6,"NVDQ":0.6,"DIPS":0.6,"NVDU":0.6,"BBYY":0.6,"NVDG":0.6,"NVIW.SI":0.6,"BABO":0.6,"BABX":0.6,"NVDW":0.6,"09988":1.87,"KBAB":0.6,"SNVD.UK":0.6,"NVII":0.6,"NVD3.UK":0.6,"NVDX":0.6}},"isVote":1,"tweetType":1,"viewCount":133,"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":8,"optionInvolvedFlag":false,"xxTargetLangEnum":"ZH_CN"},"commentList":[],"hasMoreComment":false,"orderType":2}