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$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...

$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 productsCPUs 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.

Just some notes from $TSLA transcripts: Elon Musk: "I think Optimus will be the biggest product ever" from Q2 earnings transcripts. Even from Q1, Elon...

Just some notes from $TSLA transcripts:Elon Musk: "I think Optimus will be the biggest product ever" from Q2 earnings transcripts.Even from Q1, Elon Stated: "I think Optimus will be our biggest product. Not just Tesla's biggest product ever, but probably the biggest product ever.And I remain convinced of that conclusion". It's very rare to see such high conviction reiterated from Elon regarding humanoids both directionally and TAM-wise.In terms of upstream suppliers opportunities, Karn Budhiraj, VP of $TSLA supply chains stated: "We’re seeing the same level of investment going to memory and also new specific items like metal injection molded parts, flexible printed circuits, and all sorts of nonlinear technologies..." And that they had to build new supply chains from scratch. So would be interesting to look at for new supply chain supplier opportunities apart from the known ones. Just pulled older slides and it looks like capacity targets for Fremont are 1M and Giga Texas was 10M, so at scale, $TSLA seems to be the clear US leader. If you're looking at that S-Curve opportunity ramp. On a side note, Elon also gave a shoutout to $MU with likely reasonably priced LTAs, given his statement: "We really appreciate Micron making room for Tesla in the years to come and giving us actually a very significant allocation on reasonable terms given the pretty insane pricing of memory these days." (Just for structural memory demand). Elon also gave a shoutout to Panasonic which had invested many billions in increasing battery cell production (will need to do deeper DD into Panasonic after this), then Samsung and $TSM. Just takeaways from Tesla earnings TLDR: Elon tends to be directionally correct on where the future is heading, such as with EV or Space. He seems extremely bullish on humanoids.

💰以太等1800附近建多💰

💰以太等1800附近建多💰---------------当前参考价格:BTC:65819ETH:1928---------------军长禁言群免费进,电报联系 @kf2688仅为市场观点分享,不构成任何交易建议。不承诺收益,请理性判断并自行承担风险。

以太等1800附近建多

以太等1800附近建多

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顺哥。有一点我们必须承认中国的伟大。这一次回国我看到中国人非常灵活,效率非常高,顺哥平常炒股炒到老眼昏花,高度近视。现在需要带老花眼镜。

顺哥。有一点我们必须承认中国的伟大。这一次回国我看到中国人非常灵活,效率非常高,顺哥平常炒股炒到老眼昏花,高度近视。现在需要带老花眼镜。相信大家都知道在美国配一副眼镜要两三个星期才能拿,但是在中国今天配眼镜,验度数,明天就可以拿,这种效率是美国或者西方国家永远无法做到的。所以我认为人工智能只要中国掌握到技术,它的发挥效率一定比美国强10倍。还有一点,中国人绝对是世界最勤奋的人,只要有机会,他们就一定可以上位,所以美国佬现在是吃尽了独天地厚的资源特别害怕中国这种效率

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