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Alpha | 阿尔法
@alpha101xyz
AI Stocks | Semis | Macro Hedge Fund Analyst & Data Scientist Turning FOMO into rules: momentum, crowding, risk
가입 April 2022
536 팔로잉 중    15.9K 팬
AI推理和降低Token单位成本 这个叙事下的王者只有一个:博通 $AVGO 未来ASIC与GPU的出货量比会达到 1:1 核心是定制芯片ASIC来代替GPU承担Agentic AI的推理任务从而降低token成本;目前参与方包含 #OpenAI# 刚公布的自研芯片Jalapeño, $GOOG 的TPU, $AMZN 的Trainium, $MSFT 的Maia;谷歌的TPU ironwood比英伟达的Blackwell降低37%的单位token成本,而v6可以节省超过70%... 但是!在投资这个赛道必须要剔除掉Hyperscaler公司 - 不要买谷歌/微软/亚马逊! 这个我在之前的分析力面解释过由于买方市场的ROE压力(包括股权/债券融资和设备折旧等因素造成的资产回报率下降直接导致P/E倍数下滑)而真正在估值上受益的是卖方! 朴素一点理解:谁花钱谁估值受损,谁赚钱谁估值受益! 而赛道内除博通以外卖方其它ticker (下图右侧)属于更长尾的扩散,在交易里属于更大的beta也就是更大的波动率,参见最近光模块小票跌得多惨就能理解... 所以这个赛道的交易我认为非常简单,就关注博通一家即可; $AVGO的大级别支撑位在334只要不跌破,动量交易可持续...
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We’ve designed and built our first AI chip: Jalapeño. Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products. Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.
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