· 供应链分析

AI算力瓶颈从CPU扩展至全产业链,长期协议锁定需求,利好瓶颈环节投资。

涉及标的:

相关概念: 光子学 Photonics

中文翻译

$INTC 和 $AMD 将与中国客户签署针对 AI 数据中心 (AI DCs) 的 CPU 长期协议 (LTAs)(路透社)。据消息源称,年初以来部分 CPU 产品在中国的价格已上涨超过 40%。部分产品环比涨幅超过 10%。受 AI 推理 (AI inference) 的 CPU 配比影响,CPU 本身已是瓶颈。但更广泛的长期协议 (LTAs) 趋势似乎正从以下领域显现:内存方面,$MU、三星、$SNDK 和 SK 海力士签署 DRAM/NAND 长期协议;光子学方面,$LITE、$COHR 签署 EML 长期协议。且 Trendforce 近期报告称 $AMD 和超大规模云厂商正追求 CW 长期协议。我相信从 MLCC 到基板等更多领域也是如此。瓶颈投资者 +1……如果拥有跨越多年的“提货或付款”需求,很难成为“破裂的泡沫”。

英文原文

$INTC and $AMD to sign CPU LTAs with Chinese customers for AI DCs (Reuters). - Prices of some CPU products have risen more than 40% in China since the start of the year from sources. - Month-on-month increases topping 10% for some products CPUs were already a bottleneck, following CPU ratios due to AI inference... But the broader trend of LTAs seems to be appearing from: - Memory, with $MU, Samsung, $SNDK, and SK Hynix signing DRAM/NAND LTAs. - Photonics, with $LITE, $COHR signing EML LTAs. And recent Trendforce reports that $AMD and hyperscalers are now pursuing CW LTAs. And I'm sure there's many more from MLCCs to all the way to substrates. +1 for the bottleneck investors... hard to be a "bubble that pops" if you have take or pay demand spanning multiple years.

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