We would again point out that 1) price increases of this magnitude are well ahead of MU's implied guide last night and 2) that there is a very strong possibility that limited ability to add capacity in the intermediate term creates a longer term positive cycle for memory (for the first time since 2
MSFT, AI Datacenter: MSFT announces new Wisconsin datacenterView: MSFT announced it is in the final phases of building Fairwater, billed as the world’s most powerful AI datacenter in Mount Pleasant, Wisconsin. The AI datacenter is expected to come online in early 2026, fulfilling its initial $3.3B
(including the have nots in the AI ecosystem to date including mature foundry and IDM). As such, Meta's developments (including in the glasses front), OpenAI's push, and the responses from current leaders of the consumer ecosystem (Apple and Google) are important to watch. Reuters, META, DigiTimes
Again, we'd note that prior attempts to integrate NAND into the DRAM stack (to increase memory capacity) have realized limited success for a variety of reasons including required shifts in the software layer (given NAND's different performance parameters) as well as the loss of DRAM capacity (with
DRAM, Memory: Taiwan DRAM makers to eye 20-50% Q4 Px hikes amid DDR4 squeezeView: The Commercial Times suggests DDR4 contract prices could rise another 20%–50% in Q4 off of already elevated levels. Specifically, Nanya reportedly raised contract prices 70% Q/Q in Q3 and is set for another 50% increa
Dear all, After we spent the day trying to figure out where AI compute would sit over the next 10 years, Oracle blessed us with a powerful datapoint: Half a trillion dollar RPOs. We pulled out a note overnight digging into what we learnt last night and confronting it to our deep understanding of the current AI infrastructure landscape. Very interesting findings emerged, follow the link below for details.
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