Having said this, the report also notes that while glass substrates are meant to replace silicon interposers, there is not yet a pressing “must-use” need. Net, we continue to believe glass substrates will eventually become the norm (with initial penetration starting at the high end of the market),
Total capex required to meet OpenAI’s needs could reach ~$130bn by 2027, roughly equal to what consensus forecasts, on average, for each of the top four hyperscalers over the same horizon. In this note, we estimate how much of Nvidia’s datacenter revenue expectations this represents.
Switch 2, Hello Kitty and Demon Slayer have underlined the success of Japan’s global pop culture influence. In this review, Pelham Smithers discusses whether 2025 will be the peak, or if there more to come. In light of the capital limitations faced by Japanese game developers evident at TGS2025, Pelham thinks further consolidation is likely and suggests three likely scenarios.
As we spend our days and many of our nights helping you understand what is going on in the world of AI infrastructure, we refine continuously our understanding of the cost of AI, combining our understanding of the economics of every step of the supply chain. We crystalized that in a digestible format today. Everything you need to know about a 1GW datacenter on a single slide.
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
Oracle entered a 4.5GW, $300bn, 5-year contract with OpenAI, starting 2027. In our note yesterday, we showed what we know of the deal suggests balanced and straightforward economics, over the life of the contract. Today we extend the analysis: GPUs aren’t scrapped after 5 years, and Oracle may in reality, after these contracts, boost profitability, monetizing fully depreciated assets, much like TSMC at the lagging edge.
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