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美股AI量化分析工具
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大家好
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我们是美股投资网
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用大数据驱动你的交易决策
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英伟达的护城河可能正在被撕开
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一道真正的裂口
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本周四
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一家AI算力公司three birds
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代号CBRS将在美股上市
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他做的芯片连英伟达自己都不敢想
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英伟达呢是把成千上万颗GPU连在一起
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拼算力集群
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three ripers更激进
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直接把一整片晶圆做成一颗超级芯片
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打个比方
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英伟达在拼乐高sweepers
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想直接造出一整面算力墙
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现在呢IPO路演已经把市场情绪点着了
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这周一因为订单需求直接超出发行量20倍
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Three rivers
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自己把发行价从115~125美元
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提高到了150~160美元
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发行量也加了200万股
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按上限算
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估值冲到了350亿美元
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在这个行情下
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还敢主动提价
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提了还被抢光
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你就知道机构有多看好他
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他手里还握着两个最强背书
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OpenAI和亚马逊
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three birds跟OpenAI签了超过200亿美元的照付
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不易合同
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1000就到2028年
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另一边
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AWSS宣布把three birds芯片搬进自家数据中心
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跟自研的trillium芯片一起干活
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一家没上市的公司
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同时拿下AI巨头和云巨头的订单
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这个信号不需要我再多解释了
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今天这期视频我会讲清楚四件事
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strippers到底是什么
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他凭什么敢挑战英伟达
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第二它的WSSE芯片和英伟达GPU本质区别在哪
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第三他在商业模式靠什么赚钱
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财务数据增长速度
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估值逻辑又该怎么看
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第四散户怎么看待这次IPO上市首日能不能追
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背后最大的机会和风险分别是什么
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这可能是今年AI硬件赛道最受关注的一支新股
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但越火的股票越不能只看故事视频
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最后我会把机会风险
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估值和参与策略一次性讲透
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千万别走开
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three birds到底是干嘛的
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一句话就可以讲清楚
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别人是把晶圆切成很多小芯片
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three birth是直接把整片晶圆当成一颗超级芯片
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采用什么是晶圆
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就是那块圆圆的亮晶晶的硅片
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直径呢300mm
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正常的芯片厂是怎么做呢
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先在晶圆上做出几百颗芯片
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然后像切披萨一样
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咔咔咔切成一小块一小块
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每一小块呢就是一颗芯片
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我们平时用的手机芯片
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电脑的CPU
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英伟达的GPU大体呢都是这个逻辑
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那英伟达的AI算力为什么这么强
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因为他不止卖芯片
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他卖的是整套系统
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GPU显存
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N类link交换机
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光模块服务器
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再加上库的软件生态几乎全给你打包好了
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客户买到的不是一颗芯片
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而是一座可以直接开工的AI工厂
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但是这个模式有一个逃不掉的代价
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GPU越多
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数据就越需要在芯片之间来回传输
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你可以想象一个超级工厂
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每个车间呢都非常先进
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但原材料要在几百个车间来回运
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最后卡住你的是什么
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不是机器不够快
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而是物流太慢
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AI也一样
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数据搬来搬去
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延迟就上来了
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耗电也上来了
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带宽压力也跟着爆了
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ZABUDS的创始人叫ANDREWFELDMAN
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这人早年做过一家服务器公司
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后来卖给了AMD
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他太清楚问题的本质了
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算力系统瓶颈从来不在单颗芯片跑多快
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而在数据怎么流动
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于是呢
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他想了一个特别极端的办法
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既然跨芯片传数据那么麻烦
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那我干脆不切了一整片晶圆
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直接做成一颗芯片
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这就是WSE晶圆级引擎
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第三代叫WS1杠三
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装
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在cs3系统里
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核心思路一句话
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把所有东西尽量塞在一块硅片上
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让数据少往外跑
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菲奥特曼自己说过一句话
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我印象特别深
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我们发明了过去75年
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计算机行业里被认为最不可能实现的技术
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把处理器做到餐盘那么大
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而传统处理器只有邮票大小
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从数据上看
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这条路线还不错
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cs3的峰值算力是125
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Petterflops
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单科英伟达B2版是4.5PETTERFLOPS
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所以cs31颗顶28颗B200
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但英伟达不是只卖单颗芯片
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它卖的是整柜系统
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如果你拿cs3和英伟达的整柜GB200NVL
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72比后者峰值算力是360
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PETERFPS比cs3还要高
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所以你不能简单说three birth算力比英伟达强
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真正让three birth与众不同的是另外两个东西
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内存带宽和架构设计
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我们先了解推理是怎么工作的
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所有模型权重都需要从内存传输到计算单元
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整个过程是逐词顺序进行的
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一个700亿参数的模型权重
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数据量相当于大约100部高清电影生成
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每一个词
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都需要把这么多的数据从内存搬到计算单元
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一个1000字的回答
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相当于传输了10万部高清电影的数据量
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在传统GPU上
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从HBM传输数据到计算单元的速度
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大约是8tb每秒
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而在three pers的晶圆上
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这个速度超过了二点10000tb每秒
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快了2600多倍
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为什么能做到
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因为CEREBRAS用的是s RM
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不是h b m s ram本身速度就快
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但传统上它的问题是
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每平方毫米能做的容量有限
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zebras的解法很简单粗暴
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我芯片做的足够大
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就能放足够多的s ram
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这就是整片晶圆不切割的核心价值所在
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再看另一个数据
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cs3的内存带宽是26750tb每秒
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而GB2版NVL72只有130tb每秒
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差了200多倍
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three birds自己总结的很直接
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我们的处理器比最大的GPU大58倍
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内存带宽高出2500倍以上
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这正是高速推理的基础好
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那实际跑任务呢
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three bas官方公布过一个数据
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cs3跑拉玛3.1710B推理
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比英伟达D7XB200快21倍
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成本低32%
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功耗也低1/3
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第三方测试也有PAMA3.18B推理
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每秒1800个token
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是常规GPU方案的20倍
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还有一个更夸张的碳捕获模拟
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比H100快了200多倍
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但是注意这些数字都是在特定任务下跑出来的
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您要是换成复杂的混合运算
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或者重度依赖库代生态的活儿
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英伟达依然稳如泰山
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这时候你可能会问
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那GPU为什么不也跑快一点
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three birth揭示了一个很值得注意的现象
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叫做GPU的速度陷阱
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GPU在低速运行时效率极高
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比如每秒35个token的慢速
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下一台GB200NNL72
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可以同时支持数万名用户
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成本极低
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但当用户要求提速
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比如每秒270个token
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这台机器只能服务一名用户
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成本瞬间飙升到天上去
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three rivers自己的说法是
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从每秒100~150个token开始
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GPU变得极其昂贵且功耗效率低下
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而我们的成本与功耗仅为其极小一部分
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没有任何数量的GPU能达到我们的速度
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GPU根本不可能实现这种性能
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在这种速度下
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我们毫无竞争对手
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那问题来了
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为什么一定要追求这种极端速度
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对普通用户来说
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虽然每秒35个token的阅读速度
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其实已经够了
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但现实很残酷
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哪怕只卖一点点
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用户就会流失
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就像YC创始人program说的
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如果ChatGPT反应变慢
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他回过头去用谷歌的AI就会多出一倍
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这揭示了一个残酷的商业真相
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快就是最硬的护城河
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some奥特曼追求的极致速度
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本质上是在消除用户切换平台的任何微小念头
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但这只是硬币的一面
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另一面更重要
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整个AI产业的算力命脉几乎都攥在英伟达手里
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这不是任何一个大模型公司愿意看到的
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所以OpenAI花这个钱是两个原因叠加的结果
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第一three birds确实快在极致速度这条赛道上
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GPU根本跑不过three birds
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第二必须降低对英伟达的依赖
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把鸡蛋从英伟达一个篮子里分一部分
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到three birds这个篮子里
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两个原因
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一个追求性能
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一个追求安全
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这就是200多亿美元合同签下来的底层逻辑
228
00:08:51,159 --> 00:08:53,250
第二个大客户呢是亚马逊
229
00:08:53,250 --> 00:08:54,830
2026年3月
230
00:08:54,830 --> 00:08:59,110
AWS宣布将three birds cs3部署到自家数据中心
231
00:08:59,110 --> 00:09:02,289
通过亚马逊bad rock提供服务
232
00:09:02,289 --> 00:09:07,169
方案呢是用自研的TRALIUM芯片处理预填充阶段
233
00:09:07,169 --> 00:09:09,509
用three birds处理解码阶段
234
00:09:09,509 --> 00:09:11,328
各干最擅长的事
235
00:09:11,328 --> 00:09:14,389
AWS计算副总裁david brown的原话
236
00:09:14,389 --> 00:09:17,440
这套组合的推理速度将比现有方案快
237
00:09:17,440 --> 00:09:18,379
一个数量级
238
00:09:18,379 --> 00:09:20,120
一家没上市的公司
239
00:09:20,120 --> 00:09:23,789
同时拿下OpenAI和AWS的订单
240
00:09:23,789 --> 00:09:26,250
背后还有甲骨文metal等客户的关注
241
00:09:26,250 --> 00:09:28,399
可见还是非常有实力的
242
00:09:28,399 --> 00:09:30,779
如果你觉得本视频对你有帮助
243
00:09:30,779 --> 00:09:31,519
老规矩
244
00:09:31,519 --> 00:09:32,980
先点赞再收藏
245
00:09:32,980 --> 00:09:34,389
关键时刻能帮忙
246
00:09:34,389 --> 00:09:37,210
美国热线6263783637
247
00:09:37,210 --> 00:09:39,690
接下来我们看three birds的财务
248
00:09:39,690 --> 00:09:43,320
这家公司最大的亮点是增长速度非常快
249
00:09:43,320 --> 00:09:45,580
它的营收呢从2022年的
250
00:09:45,580 --> 00:09:47,179
2460万美元
251
00:09:47,179 --> 00:09:50,919
增长到2023年的7870万美元
252
00:09:50,919 --> 00:09:53,299
2024年达到2.9亿美元
253
00:09:53,299 --> 00:09:56,269
2025年进一步增长到5.1亿美元
254
00:09:56,269 --> 00:09:58,870
3年时间营收增长了接近20倍
255
00:09:58,870 --> 00:10:01,929
这个速度呢在半导体里公司非常少见
256
00:10:01,929 --> 00:10:06,019
但问题是增长快不代表已经真正赚钱
257
00:10:06,019 --> 00:10:07,100
表面上看
258
00:10:07,100 --> 00:10:07,820
Cl bras
259
00:10:07,820 --> 00:10:11,820
在2025年实现了2.378亿美元的gap
260
00:10:11,820 --> 00:10:12,740
净利润
261
00:10:12,740 --> 00:10:14,799
看起来已经扭亏为盈
262
00:10:14,799 --> 00:10:18,360
但这笔利润里有很大一部分来自会计调整
263
00:10:18,360 --> 00:10:19,559
不是卖芯片
264
00:10:19,559 --> 00:10:21,519
卖算力赚出来的钱
265
00:10:21,519 --> 00:10:22,919
公开资料显示
266
00:10:22,919 --> 00:10:23,840
Siri brass
267
00:10:23,840 --> 00:10:26,279
2020年有一笔约3.6
268
00:10:26,279 --> 00:10:28,639
3亿美元的远期合同负债
269
00:10:28,639 --> 00:10:30,549
公允价值变动收益
270
00:10:30,549 --> 00:10:32,750
如果剔除这些因素
271
00:10:32,750 --> 00:10:36,379
公司2025年仍然录得1.459亿美元
272
00:10:36,379 --> 00:10:37,220
经营亏损
273
00:10:37,220 --> 00:10:40,779
non gap净亏损约7570万美元
274
00:10:40,779 --> 00:10:43,320
所以这里不能简单说它已经盈利
275
00:10:43,320 --> 00:10:44,779
更准确的说法是
276
00:10:44,779 --> 00:10:46,340
财报上看到了盈利
277
00:10:46,340 --> 00:10:48,899
但核心经营还在亏钱
278
00:10:48,899 --> 00:10:50,320
再看毛利率
279
00:10:50,320 --> 00:10:53,659
three birds的毛利率从2022年的12%
280
00:10:53,659 --> 00:10:56,230
提升到了2025年的39%
281
00:10:56,230 --> 00:10:59,350
进步呢很明显说明随着收入扩大
282
00:10:59,350 --> 00:11:00,909
产品交付增加
283
00:11:00,909 --> 00:11:03,480
它的成本结构确实在改善
284
00:11:03,480 --> 00:11:06,960
但39%的毛利率和英伟达相比呢
285
00:11:06,960 --> 00:11:08,120
还有很大的差距
286
00:11:08,120 --> 00:11:09,759
原因呢也不难理解
287
00:11:09,759 --> 00:11:12,039
three birds做的是晶圆级芯片
288
00:11:12,039 --> 00:11:12,980
制造难度高
289
00:11:12,980 --> 00:11:14,500
系统复杂度高
290
00:11:14,500 --> 00:11:17,200
而且现在规模还没有完全跑起来
291
00:11:17,200 --> 00:11:19,080
它要达到更高毛利率
292
00:11:19,080 --> 00:11:21,159
必须靠后续交付规模扩大
293
00:11:21,159 --> 00:11:24,599
制造效率提升以及云服务模式跑通
294
00:11:24,599 --> 00:11:27,479
真正让市场兴奋的是他手里的订单
295
00:11:27,479 --> 00:11:29,119
截至2025年底
296
00:11:29,119 --> 00:11:31,619
three birth披露的待确认订单
297
00:11:31,619 --> 00:11:33,730
达到246亿美元
298
00:11:33,730 --> 00:11:37,730
其中包括与OpenAI相关的约200亿美元合作
299
00:11:37,730 --> 00:11:39,980
也包括亚马逊等客户订单
300
00:11:39,980 --> 00:11:41,379
这个数字呢非常大
301
00:11:41,379 --> 00:11:44,059
说明市场对它的算力确实有需求
302
00:11:44,059 --> 00:11:46,679
但投资者一定要冷静看两个问题
303
00:11:46,679 --> 00:11:49,950
第一呢这些订单不是马上变成收入公司
304
00:11:49,950 --> 00:11:51,509
预计呢到2027年底
305
00:11:51,509 --> 00:11:54,250
大约只能确认其中15%的收入
306
00:11:54,250 --> 00:11:56,389
之后25~48个月
307
00:11:56,389 --> 00:11:58,100
再确认约43%
308
00:11:58,100 --> 00:11:59,580
剩下的还要更久
309
00:11:59,580 --> 00:12:01,639
也就是说订单很大
310
00:12:01,639 --> 00:12:04,809
但钱要分几年慢慢落袋
311
00:12:04,809 --> 00:12:06,809
第二呢交付这些订单之前
312
00:12:06,809 --> 00:12:08,539
公司还要花很多的钱
313
00:12:08,539 --> 00:12:10,200
他要提前采购晶圆
314
00:12:10,200 --> 00:12:11,080
建设系统
315
00:12:11,080 --> 00:12:12,220
部署数据中心
316
00:12:12,220 --> 00:12:15,080
还要解决电力供应链和客服交付的问题
317
00:12:15,080 --> 00:12:16,639
EBS自己也提示
318
00:12:16,639 --> 00:12:18,320
订单能不能变成收入
319
00:12:18,320 --> 00:12:19,480
取决于制造产能
320
00:12:19,480 --> 00:12:21,389
基础设施部署和电力供应
321
00:12:21,389 --> 00:12:25,070
那上市之后我们的核心操盘思路是什么呢
322
00:12:25,070 --> 00:12:26,539
先说我的判断
323
00:12:26,539 --> 00:12:28,899
第一阶段大概是炒情绪
324
00:12:28,899 --> 00:12:31,700
炒它是今年最稀缺的AI硬科技
325
00:12:31,700 --> 00:12:32,360
Ipo
326
00:12:32,360 --> 00:12:36,860
炒OpenAI那200多亿美元的照付不易合同炒
327
00:12:36,860 --> 00:12:39,440
跟AWS的合作炒一个故事
328
00:12:39,440 --> 00:12:42,240
AI算力不一定只有英伟达这一条路
329
00:12:42,240 --> 00:12:44,639
这个阶段情绪主导资金涌入
330
00:12:44,639 --> 00:12:47,120
首日涨100%都有可能
331
00:12:47,120 --> 00:12:48,519
但情绪炒完之后
332
00:12:48,519 --> 00:12:50,480
第二阶段会非常的现实
333
00:12:50,480 --> 00:12:52,120
上面讲的那些风险点
334
00:12:52,120 --> 00:12:54,599
市场会一条一条拿出来对账
335
00:12:54,599 --> 00:12:57,918
订单能不能变成收入750兆瓦的部署
336
00:12:57,918 --> 00:12:59,259
能不能按时交付
337
00:12:59,259 --> 00:13:02,649
毛利率能不能从50%爬到60%
338
00:13:02,649 --> 00:13:04,409
客户集中度会不会出问题
339
00:13:04,409 --> 00:13:06,490
你到底是在补充英伟达
340
00:13:06,490 --> 00:13:08,649
还是有本事抢走他的份额
341
00:13:08,649 --> 00:13:10,330
这些问题上市后
342
00:13:10,330 --> 00:13:12,970
第一个财报季就会被摆到台面上
343
00:13:12,970 --> 00:13:15,049
因为现在市场给three birds的
344
00:13:15,049 --> 00:13:17,559
已经不是普通半导体公司的估值了
345
00:13:17,559 --> 00:13:20,200
而是AI基础设施新路线的估值
346
00:13:20,200 --> 00:13:22,600
这个估值的前提是你代表一条路
347
00:13:22,600 --> 00:13:24,299
而不只是卖了一个产品
348
00:13:24,299 --> 00:13:28,360
如果后面收入兑现跟不上或者交付能力出问题
349
00:13:28,360 --> 00:13:30,559
股价回撤呢会非常快
350
00:13:30,559 --> 00:13:34,419
最后我们来说风险第一呢客户高度集中
351
00:13:34,419 --> 00:13:35,549
这不是秘密
352
00:13:35,549 --> 00:13:37,309
2024年上半年
353
00:13:37,309 --> 00:13:40,509
three birth87%的收入都来自一家公司
354
00:13:40,509 --> 00:13:42,429
阿联酋的G42
355
00:13:42,429 --> 00:13:43,570
到了2025年
356
00:13:43,570 --> 00:13:45,990
G42占比虽然降到了24%
357
00:13:45,990 --> 00:13:47,490
但别急着松口气
358
00:13:47,490 --> 00:13:49,450
M b z u a i
359
00:13:52,889 --> 00:13:54,690
跟G42关系极深
360
00:13:54,690 --> 00:13:57,350
他一家就占了62%的收入
361
00:13:57,350 --> 00:13:58,480
算下来
362
00:13:58,480 --> 00:13:59,399
Three birds
363
00:13:59,399 --> 00:14:01,600
对中东这几个大客户的依赖
364
00:14:01,600 --> 00:14:03,720
仍然接近90%
365
00:14:03,720 --> 00:14:07,539
而且OpenAI那张200亿美元的大单也不是白给的
366
00:14:07,539 --> 00:14:08,200
合同
367
00:14:08,200 --> 00:14:10,429
对交付进度要求非常严格
368
00:14:10,429 --> 00:14:12,230
首批250兆瓦算力
369
00:14:12,230 --> 00:14:13,429
如果交付延迟
370
00:14:13,429 --> 00:14:15,990
three birds面临的就不是少赚点钱的问题
371
00:14:15,990 --> 00:14:18,849
而是违约和信誉双重打击
372
00:14:18,849 --> 00:14:21,188
第二呢供应链压力不小
373
00:14:21,188 --> 00:14:24,048
three birds的晶圆级芯片制造难度非常高
374
00:14:24,048 --> 00:14:26,570
关键制造环节高度依赖台积电
375
00:14:26,570 --> 00:14:28,029
他用的是5NM
376
00:14:28,029 --> 00:14:30,850
不需要最紧张的HBM和covers
377
00:14:30,850 --> 00:14:32,480
这确实是一个优势
378
00:14:32,480 --> 00:14:37,000
但晶圆级芯片本身良率成本交付节奏都很敏感
379
00:14:37,000 --> 00:14:39,139
只要制造或者产能出现波动
380
00:14:39,139 --> 00:14:41,828
都会直接影响毛利率和订单交付
381
00:14:41,828 --> 00:14:42,808
第三呢
382
00:14:42,808 --> 00:14:45,269
软件生态还远远不如英伟达
383
00:14:45,269 --> 00:14:47,549
three birds可以对接PATROCH
384
00:14:47,549 --> 00:14:49,330
TENSORFLOW等主流框架
385
00:14:49,330 --> 00:14:51,330
但要把性能完全榨出来
386
00:14:51,330 --> 00:14:53,950
还是需要适配它自己的软件站
387
00:14:53,950 --> 00:14:57,330
相比英伟达库的几十年积累下来的开发者生态
388
00:14:57,330 --> 00:14:59,090
工具链和客户习惯
389
00:14:59,090 --> 00:15:01,568
three birds短期内很难追上
390
00:15:01,568 --> 00:15:04,828
第四呢是成本和可靠性还需要验证
391
00:15:04,828 --> 00:15:06,168
晶圆级芯片很强
392
00:15:06,168 --> 00:15:07,928
但也意味着供电散热
393
00:15:07,928 --> 00:15:10,879
封装长期稳定性要求都非常高
394
00:15:10,879 --> 00:15:12,899
大规模部署到数据中心之后
395
00:15:12,899 --> 00:15:14,759
能不能长期稳定运行
396
00:15:14,759 --> 00:15:16,279
能不能把成本压下来
397
00:15:16,279 --> 00:15:17,828
还需要时间证明
398
00:15:17,828 --> 00:15:19,808
第五竞争不会停下来
399
00:15:19,808 --> 00:15:23,779
英伟达不会坐着等人挑战blackwell robin
400
00:15:23,779 --> 00:15:25,620
后面一代接一代升级
401
00:15:25,620 --> 00:15:28,730
GPU集群的性能和能效还会继续提高
402
00:15:28,730 --> 00:15:29,830
更重要的是
403
00:15:29,830 --> 00:15:32,068
OpenAI自己也在做芯片
404
00:15:32,068 --> 00:15:34,349
如果未来自研芯片推进顺利
405
00:15:34,349 --> 00:15:37,629
今天的大客户未来也可能变成潜在竞争者
406
00:15:37,629 --> 00:15:40,299
所以你看three pers不是没有风险
407
00:15:40,299 --> 00:15:41,899
客户集中交付压力
408
00:15:41,899 --> 00:15:44,799
供应链软件生态散热成本竞争升级
409
00:15:44,799 --> 00:15:46,370
这些问题一个都不小
410
00:15:46,370 --> 00:15:48,809
它绝对不是一上市就能取代英伟达
411
00:15:48,809 --> 00:15:50,759
也不是没有短板的完美公司
412
00:15:50,759 --> 00:15:53,700
但重点在于市场现在看的不是three birds
413
00:15:53,700 --> 00:15:55,580
明天能不能打败英伟达
414
00:15:55,580 --> 00:15:57,159
而是一个更大的信号
415
00:15:57,159 --> 00:15:59,460
AI巨头们正在认真寻找
416
00:15:59,460 --> 00:16:01,700
英伟达之外的第二套算力方案
417
00:16:01,700 --> 00:16:04,740
这才是英伟达接下来财报最敏感的地方
418
00:16:04,740 --> 00:16:07,539
因为英伟达真正的风险不是这个季度
419
00:16:07,539 --> 00:16:08,919
GPU卖不卖得动
420
00:16:08,919 --> 00:16:09,899
短期来看
421
00:16:09,899 --> 00:16:11,879
AI芯片需求依然很强
422
00:16:11,879 --> 00:16:13,539
市场真正担心的是
423
00:16:13,539 --> 00:16:17,039
英伟达最大的客户正在一边买他的GPU
424
00:16:17,039 --> 00:16:18,740
一边加速自研芯片
425
00:16:18,740 --> 00:16:21,409
甚至扶持新的替代路线
426
00:16:21,409 --> 00:16:22,570
过去两年
427
00:16:22,570 --> 00:16:23,730
微软谷歌
428
00:16:23,730 --> 00:16:27,549
亚马逊metal这些云巨头疯狂采购英伟达GPU
429
00:16:27,549 --> 00:16:30,309
把英伟达推上了AI时代的王座
430
00:16:30,309 --> 00:16:32,909
但现在谷歌在推TPU
431
00:16:32,909 --> 00:16:35,870
亚马逊在推吹联微软和OpenAI
432
00:16:35,870 --> 00:16:37,779
也在布局自己的AI芯片
433
00:16:37,779 --> 00:16:38,720
与此同时
434
00:16:38,720 --> 00:16:41,259
Three birds grock testrent
435
00:16:41,259 --> 00:16:45,568
这些新架构公司也在从推理市场寻找突破口
436
00:16:45,568 --> 00:16:46,749
换句话说
437
00:16:46,749 --> 00:16:49,249
因为答案最大的客户正在慢慢变成
438
00:16:49,249 --> 00:16:50,859
他潜在的竞争对手
439
00:16:50,859 --> 00:16:52,759
中国市场也是一个变量
440
00:16:52,759 --> 00:16:53,979
受出口限制影响
441
00:16:53,979 --> 00:16:57,720
英伟达高端AI芯片在中国的销售空间被压缩
442
00:16:57,720 --> 00:17:01,610
华为ascend正在承接更多国产替代需求
443
00:17:01,610 --> 00:17:04,710
如果中国大厂更多转向国产芯片
444
00:17:04,710 --> 00:17:07,859
英伟达在中国市场的增长空间也会受到影响
445
00:17:07,859 --> 00:17:11,140
所以英伟达财报真正要看的不只是营收和利润
446
00:17:11,140 --> 00:17:11,940
有没有超预期
447
00:17:11,940 --> 00:17:13,078
而是三个问题
448
00:17:13,078 --> 00:17:15,659
大客户的采购节奏有没有变化
449
00:17:15,659 --> 00:17:19,019
自研芯片和替代方案有没有开始影响市场预期
450
00:17:19,019 --> 00:17:22,380
英伟达还能不能继续维持现在的这种高增长
451
00:17:22,380 --> 00:17:23,960
高毛利和高估值
452
00:17:23,960 --> 00:17:26,828
这也是为什么three birds上市值得关注
453
00:17:26,828 --> 00:17:28,808
他表面上是一只AI新股
454
00:17:28,808 --> 00:17:30,548
背后却代表着整个行业
455
00:17:30,548 --> 00:17:33,490
正在寻找后英伟达时代的可能性
456
00:17:33,490 --> 00:17:34,150
好了
457
00:17:34,150 --> 00:17:36,170
今天的视频到这里就结束了
458
00:17:36,170 --> 00:17:37,309
three birds上市
459
00:17:37,309 --> 00:17:39,109
如果一开盘180美元
460
00:17:39,109 --> 00:17:40,750
你还会不会冲进去
461
00:17:40,750 --> 00:17:41,789
是快进快出
462
00:17:41,789 --> 00:17:42,630
赚一点就跑
463
00:17:42,630 --> 00:17:44,069
还是等回调再进
464
00:17:44,069 --> 00:17:45,969
还是隔山看好戏
465
00:17:45,969 --> 00:17:47,769
你又对英伟达财报怎么看
466
00:17:47,769 --> 00:17:49,249
评论区聊聊你的看法
467
00:17:49,249 --> 00:17:50,339
我们一起讨论