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.com 

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.com 

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.com 

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

SpaceX's reported deployment pace adds concrete demand for Nvidia GPUs. Musk plans a 440,000-unit Vera Rubin training cluster online by Q2, apparently 2027; SpaceX says it is turning on 220,000 Nvidia GB300s a month, with Musk expecting that pace to accelerate next year. x.com  x.com 

Low Anthropic spending relative to customer expenses points to an enterprise AI adoption gap that leaves Nvidia reliant on intermediaries able to build their own chips. Anthropic's S-1 says over half the Fortune 500 were $100k+ annual customers as of September, yet spending among its publicly traded customers averaged under 0.1% of expenses in Q3 2026. That measures one provider and cannot show whether AI deployments succeed; Nvidia needs more enterprises buying its compute directly. x.com 

Sending AI data centers into space should dramatically increase revenue and profitability for Nvidia and SpaceX. Both stand to benefit as this industry expands. x.com 

Nokia's AI-RAN could gain SpaceX as a customer if its Nvidia-enabled solution fits SpaceX's compute needs. BofA says virtually all of SpaceX's current compute runs on Nvidia GPUs; the solution's higher cost and software mix could lift BofA's base-case incremental RAN assumptions. x.com 

Nvidia's reported hyperscale revenue share overstates demand from the largest cloud companies, leaving it more exposed to SpaceX and neoclouds. Jensen Huang confirmed SpaceX was moved into the hyperscale category; excluding it, Amazon, Meta, Alphabet and Microsoft account for less than the headline 55% share. That makes it seem those four have shifted more demand to their own ASICs than previously thought. x.com 

Nvidia's cash could have more value invested in AI companies with strong demand but too little capital to scale, especially neoclouds that can execute. Their valuations look very attractive now, making equity stakes preferable to more buybacks or dividends despite criticism of circular deals. SpaceX may need the money less because it is already very big. x.com  x.com  x.com