Crusoe Secures $3.9 Billion Series F, Tripling Valuation to $30.9 Billion for AI Factory Expansion
Crusoe has secured $3.9 billion in Series F funding, tripling its valuation to $30.9 billion, to significantly expand its AI factory infrastructure, including gigawatt campuses and modular data centers. This round was co-led by Atreides Management, Mubadala Capital, and Valor Equity Partners, with participation from NVIDIA, Founders Fund, GIC, QIA, TPG, Fidelity, T. Rowe Price, Tiger Global, and Salesforce Ventures. For broader context, explore our AI News.
Scaling AI Infrastructure with Gigawatt Campuses and Modular Data Centers
Crusoe's strategic focus is on developing and deploying large-scale AI factories, ranging from expansive gigawatt campuses to highly portable, truck-sized modular data centers. The company currently boasts over $140 billion in total contracted value and more than 6 GW of gross contracted capacity, with 1 GW already operational. This substantial capacity underscores Crusoe's commitment to meeting the escalating demand for AI computing resources. For broader context, explore our Top 100 AI Tools.
A key innovation in Crusoe's infrastructure strategy is its Spark modular data centers. These units are manufactured in the US, designed for easy transportation by truck, and can drastically reduce construction timelines from years to mere weeks. This modular approach offers significant flexibility and speed in deploying AI computing power where it's most needed.
Powering Advanced AI and Strategic Partnerships
Crusoe has already demonstrated its capability to support cutting-edge AI development. Notably, OpenAI trained Astra, its first artificial general intelligence, at Crusoe's Abilene, Texas campus. This collaboration highlights Crusoe's role in providing the foundational infrastructure for advanced AI research and deployment.
The company's growth is also reflected in its financial performance and strategic partnerships. Crusoe Cloud bookings have surged over 20x year over year, and its Managed Inference services have secured over $100 million in annual recurring revenue (ARR). Furthermore, Crusoe reportedly secured a substantial $13 billion, five-year AI cloud contract with Jane Street, signaling strong market confidence in its offerings.
Strengthening Leadership and Future Outlook
To support its rapid expansion, Crusoe has strengthened its leadership team with new board appointments. These include Thomas Seifert, CFO of Cloudflare; Bill Stein, former CEO of Digital Realty; and JB Straubel, CEO of Redwood Materials and a co-founder of Tesla. These additions bring extensive experience in cloud infrastructure, data centers, and sustainable technology to Crusoe's strategic direction.
Founded in 2018 initially as a cryptocurrency mining operation, Crusoe successfully pivoted to AI infrastructure, demonstrating adaptability to market demands. The company now employs over 1,800 people across five countries and serves a diverse client base that includes industry giants like Meta, Microsoft, and Oracle, as well as innovative AI companies such as Perplexity, Cognition, and Figure.
With its substantial funding and rapid expansion, Crusoe is reportedly in discussions for an initial public offering (IPO) with leading bankers like Goldman Sachs and Morgan Stanley, indicating a potential future public listing. This move would further solidify its position as a major player in the global AI infrastructure market.
Key Takeaways
- Crusoe secured $3.9 billion in Series F funding, tripling its valuation to $30.9 billion.
- The company is rapidly expanding its AI infrastructure with gigawatt campuses and modular Spark data centers.
- OpenAI's Astra AGI was trained at Crusoe's Abilene campus, showcasing its advanced capabilities.
- Crusoe Cloud bookings are up over 20x year over year, with a reported $13 billion contract with Jane Street.
- New board members include Thomas Seifert, Bill Stein, and JB Straubel, enhancing leadership.
Sources
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About the Author

Albert Schaper is a co-founder of Best-AI.org. He focuses on product strategy, AI adoption, practical tool selection, and educational content that helps users compare AI products with clearer context.
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