SemiAnalysis says SpaceX could add more than 10GW of compute by 2027

SemiAnalysis says SpaceX could add more than 10GW of compute by 2027

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News Editor
2026-08-09 16:13:11
SemiAnalysis said in a new report that SpaceX may be capable of adding more than 10GW of new compute capacity by the end of 2027 after evaluating all suitable build sites and available gas-fired power equipment tied to the company. The report references Elon Musk’s earlier remarks at SpaceX’s first earnings presentation, where he described a “conservative” target of building and delivering 6GW to 8GW of incremental compute capacity in 2027 alone, with upside that could exceed 10GW. Using an estimate of roughly $50 billion in capital expenditure per gigawatt, SemiAnalysis said SpaceX’s 2027 capex could reach $300 billion to $500 billion. The firm also argued that high-margin AI inference is a major driver behind demand growth. Its model suggests OpenAI and Anthropic could generate more than $100 billion in annual revenue per gigawatt from API inference on GB300 clusters, while annual cost per gigawatt would be about $12 billion at a $3 per GPU-hour rental price. The report adds that Microsoft’s compute shortfall could translate into major orders for SpaceX and estimates annual recurring revenue could reach $300 billion by the end of 2027 under its scenario.
SpaceXSemiAnalysisAI computeMicrosoftOpenAIAnthropicGrokMarket Analysis

BlockBeats reported on Aug. 10 that SemiAnalysis, in its latest report, said SpaceX could feasibly add more than 10GW of compute capacity by the end of 2027 after assessing all viable sites and available gas power generation equipment tied to the company.

The report cited Elon Musk’s earlier comments at SpaceX’s first earnings presentation, where he said the company’s “conservative” target was to build and deliver 6GW to 8GW of incremental compute capacity in 2027, with potential upside above 10GW.

Capex estimate ranges from $300 billion to $500 billion

At roughly $50 billion in capital expenditure per gigawatt, SpaceX’s 2027 capex would come to about $300 billion to $500 billion, according to the report.

SemiAnalysis said the high margins in AI inference are a major force behind expanding demand for compute. In its model, OpenAI and Anthropic could generate more than $100 billion in annual revenue per gigawatt by offering API inference services on GB300 clusters.

The report also provided a cost framework. At a rental price of $3 per GPU-hour, annual cost per gigawatt would be about $12 billion. On that basis, gross margins for inference would exceed 60%, and could top 85% for some flagship models.

Microsoft demand seen as a possible source of large contracts

SemiAnalysis said Microsoft’s compute shortfall could bring major orders to SpaceX. The firm estimated that Microsoft’s $250 billion infrastructure-as-a-service agreement with OpenAI signed in October 2025 corresponds to about 7GW of compute capacity.

It added that Microsoft has so far this year signed more than 10GW in committed contracts through a mix of leasing, self-buildouts, and long-term power purchase agreements.

Against that backdrop, SemiAnalysis said a Microsoft-SpaceX compute contract for around 3GW, with a total value of about $150 billion, is “not impossible.” One reason cited in the report is that SpaceX could offer a 90-day cancellation clause, lowering Microsoft’s financial risk.

Fast buildout is highlighted as a SpaceX advantage

The report also said SpaceX has an edge in rapidly building compute infrastructure. As examples, it pointed to the 300MW Colossus 1 facility being completed in 122 days, and the Southaven power plant expanding from about 495MW to 1.7GW within a matter of months.

SemiAnalysis said that if half of SpaceX’s new 2027 compute capacity is used for commercial inference and the rest is allocated to training for the Grok and Cursor teams, the company’s annual recurring revenue could reach $300 billion by the end of 2027.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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