Crusoe Raised $3.9B Series F to Expand AI Infrastructure and AI-Factory Buildout
crusoe.ai ● Covered by 3 sources
Crusoe just closed the first $3.9B of its Series F at a $30.9B value. The bet is that owning the power, data centers, and cloud stack makes AI infra move faster than everyone else.
Based on reporting by crusoe.ai — read the original for the full story.
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Crusoe has opened the first close of a huge Series F, bringing in $3.9 billion at a post-money valuation of $30.9 billion. The round was co-led by Atreides Management, Mubadala Capital, and Valor Equity Partners, with support from names like NVIDIA, Founders Fund, GIC, QIA, Radical Ventures, and TPG.
This is not just a cash grab for more servers. Crusoe says it already has more than $140 billion in total contracted value across its vertically integrated platform, and that this new capital will help it scale current programs while building its own AI factories, from large campuses to modular Crusoe Spark units. The company wants to keep pushing Crusoe Cloud as demand grows.
The pitch is simple: control the whole chain, from power to tokens, and move at the pace AI customers expect. Crusoe’s energy-first approach starts with power sourcing rather than treating electricity as a problem to fix later, and it says that model now spans grid, battery, nuclear, thermal, and renewable partners.
The numbers behind the business are already large. Crusoe says it has more than 6 GW of gross contracted capacity across data centers and cloud, with 1 GW delivered and operating today. It also claims 20x-plus year-over-year growth in Crusoe Cloud bookings year to date, and more than $100 million in annual recurring revenue from Crusoe Managed Inference after launching that product late last year.
Crusoe is leaning hard on speed as a differentiator. It says its managed inference can be up to 9.9x faster to first token and 5x higher throughput than vLLM, and that customers including Cognition, Figure, and Perplexity are already using Crusoe Cloud. The company also points to OpenAI training Astra at the Abilene campus Crusoe designed and built as proof that the model can support serious workloads, not just slide decks.
My take — AI-written commentary, not fact-checked reporting
This is what happens when AI infra starts behaving like oil and rail at the same time: the winners are the ones who can control the bottlenecks, not just rent them. Crusoe’s vertical integration looks less like a nice-to-have and more like a very expensive moat. The market clearly likes moats, especially when they come with power plants and a straight face.
Read more about this at: crusoe.ai