Tae Kim
AI/Semiconductor Journalist, Author of Key Context
MaxLPS could lift demand for Nvidia GPUs at existing data centers by routing workloads to available power, letting operators add GPUs without retiring old ones. Nvidia's Ian Buck says neocloud providers could pack in even a third more GPUs and increase data-center revenue by 50%; he estimates 30% to 40% incremental GPU demand at existing data centers today and doubts investors have modeled it. x.comÂ
SpaceX's large Nvidia GPU deployments underpin a $400 Nvidia stock call. Elon Musk said SpaceX is deploying roughly 200,000-220,000 Nvidia GB300 GPUs per month, expects to transition primarily to Vera Rubin hardware in 2027 and discussed a planned training cluster of 440,000 Vera Rubin units. x.comÂ
SpaceX's planned compute expansion could push Nvidia to a new all-time high soon by lifting chip demand. SpaceX is set to finish 2026 with 2GW online. Per Pequity Research's SpaceX quotes, at least 13GW by end-2027 is expected, while more than 20GW is described as only a small possibility. x.comÂ
Nvidia's AI profits are real, but its compute demand depends heavily on fragile venture funding. Per Chamath, 1% of firms account for 90% of AI spending, and 72 cents of each dollar comes from unprofitable VC-backed firms. Venture money passes through startups to Nvidia and cloud suppliers; if the next raises fail, concentrated orders could contract together. x.com x.com x.comÂ
Nvidia would be the biggest winner of SpaceX's proposed compute spending because its GPUs are too good for SpaceX to replicate in-house. If SpaceX builds all 13 GW by end-2027, about $470B of capex over five quarters could yield $414B of Nvidia revenue from one customer, with an estimated $310B in gross profit and $200B in net income. Nvidia's share of each dollar rises from about 83% with Blackwell to 89% with Vera Rubin, expected to ship at scale from Q2 2027. x.comÂ
SpaceX's exclusive use of Nvidia GPUs and other supply constraints make Musk's 13-20 GW operational compute forecast for end-2027 too high. A substantial buildout is still incredibly enticing, but reaching that scale likely requires cheap capacity from struggling neoclouds, mostly through capacity deals and some acquisitions. Its attractive $40B off-balance-sheet GPU lease deal is only a drop in the bucket of the debt needed. Capacity can still grow quickly over time. x.com x.com x.com x.com … Show more
Nvidia's neocloud orders increasingly require its own credit support. Per The Information, it is in talks to guarantee billions of Nscale debt for a 460MW data center; Nscale needs an IPO to fund $24B in Nvidia systems committed for 2026-27. Separately, a quoted article says US officials identified Alice Huang, scrutinized for possibly routing Nvidia chips to China, as a Chinese intelligence asset with direct access to Jensen Huang. This is just the tip of a very big iceberg. x.com x.com x.comÂ
SpaceX's 13-20GW 2027 plan would crash compute rates if achieved, and Nvidia cannot supply the chips. Even 10GW gross/8GW IT needs 350,000 GPUs and $30-32B monthly; 20GW costs $400-500B against $750B in global AI spend. A 28% share release tomorrow and Musk's cross-company overpayments keep SpaceX hands-off. Yet 400MW+ monthly deployment could yield $225B revenue and $100B profit in 2027, worth $2T at 20x; Elon firms rarely trade at only 20x. x.com x.com x.com x.com x.comÂ
AI's biggest bottleneck is power and cooling, not memory, making Vertiv, GE Vernova, Bloom Energy and Eaton buys. Musk expects a prolonged compute shortage; Nvidia, Broadcom, Micron, SK hynix, TSMC, Arista, AMD, Marvell, Credo, Lumentum, ASML and Astera Labs could benefit massively. Grok Bot's 800,000 paid weekly users have more than doubled in a month; Musk says agents could eventually use more compute than any other part of SpaceX's Super Intelligence business, benefiting Dell and Sandisk too. … Show more
Guaranteeing AI data-center debt could eventually leave Nvidia unable to obtain financing. Per The Information, Nvidia is in talks to provide billions in guarantees on Nscale debt to develop a 460-megawatt data center; one day, its card may read "Denied!" x.comÂ
SpaceX's $40B financing for GPU procurement adds another large, funded source of AI-infrastructure demand, with spending flowing into GPUs, memory, networking and optics. At the same time, InP substrates are seriously short, and Morgan Stanley identifies InP, EML and CW lasers as primary bottlenecks; suppliers that secure raw materials should gain pricing power. Any slowdown looks unlikely. x.comÂ