🐦 推特SerenityV2 · 实盘观望把握 5/10
北京时间·🕒 发布 15:37:26时区推断·⟳ 抓取 15:40:28·⚡ 决策 06-28 15:57:03 +16m35s·121.0 天前
FT独家:Google因算力受限于3月拒向Meta供Gemini算力、Cloud backlog翻倍——KOL清单帖借此重申算力短缺利好neocloud(NBIS)
FT今日独家(GOOGL因算力受限3月拒供Meta、Cloud backlog环比近翻倍)确认算力短缺真实、结构上利好AI数据中心capex与neocloud——但这是已被消化的共识多头逻辑,不是新增订单或新需求。
📄 原文Serenity@aleabitoreddit↗ 原文
Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March... And why Gemini go…
观望 NBIS.US
结构多头逻辑(算力短缺利好neocloud)成立但本条无新增可交易催化——$27B合同3月已price-in、NBIS已近翻倍;且NBIS近5日-16%、周五-6.4%正处急跌中,周末闭市无法成交。不接飞刀,等企稳(收复关键位/放量止跌)或出现真·新催化(新签约/扩产能)再考虑小仓BUY_DIP。
不做 GOOGL.US
$4T巨头,这条3月算力受限消息相对其体量近乎无感且早已公开(财报已披露backlog翻倍);本身正放量(量比3.1)随大盘下跌,无来自本事件的清晰方向edge。
不做 META.US
$1.4T巨头,消息为3月旧闻且对META偏中性略负(因拿不到Google算力才高价签neocloud),不构成可交易催化。
展开详情(成交明细 / 研究档案 / 原文全文 / 决策记录链)
研究档案
关键理由
- FT今日独家(GOOGL因算力受限3月拒供Meta、Cloud backlog环比近翻倍)确认算力短缺真实、结构上利好AI数据中心capex与neocloud——但这是已被消化的共识多头逻辑,不是新增订单或新需求。
- 真正的催化(NBIS-META $27B五年合同)是3月旧闻:NBIS自3月已近翻倍(13周指数100→246),该消息已充分price-in,这条FT仅是回溯解释、不改盈利预期。
- NBIS现价$240、市值$61B,近5日-16%(周五-6.4%)、距60日高-20%,正处急跌中——经验库明确:阴跌中的票谨慎做多,无新催化时不接飞刀;周末闭市须等周一开盘且面临gap风险。
主要风险
- 把这条回溯叙事当新催化、周一追NBIS,易在AI板块整体回调中接飞刀(20日波动6.2%,跌幅可迅速放大);反向风险是结构多头逻辑仍在,若NBIS企稳反弹则会错过。
原文全文
展开原文 · 589 字
Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March...
And why Gemini got super nerfed.
$GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints.
Google's CEO said from last earnings computing power restrictions prevented Google Cloud from taking on more customer needs and made the department's backlog nearly double the previous quarter.
This is probably positive for the AI DC capex buildout since hyperscalers capacity is way below what is needed, and especially so if they can't rely on one another.
And why Gemini got super nerfed.
$GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints.
Google's CEO said from last earnings computing power restrictions prevented Google Cloud from taking on more customer needs and made the department's backlog nearly double the previous quarter.
This is probably positive for the AI DC capex buildout since hyperscalers capacity is way below what is needed, and especially so if they can't rely on one another.
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