Key Highlights
- Crusoe secured $3.9 billion in Series F financing, pushing its valuation to $30.9 billion
- Atreides Management, Mubadala Capital, and Valor Equity Partners co-led the investment round, with participation from Nvidia and other major investors
- Capital will finance expansion of current data center operations and deployment of modular “Spark” AI facilities that can be transported via truck
- The company reports more than $140 billion in aggregate contracted value and 6 gigawatts of contracted power capacity
- Preliminary discussions with Goldman Sachs and Morgan Stanley regarding a possible public offering are underway
Crusoe, an AI infrastructure provider headquartered in Denver, has successfully closed a $3.9 billion Series F financing round. This substantial capital injection establishes the company’s valuation at $30.9 billion.
The financing was jointly led by three investment firms: Atreides Management, Mubadala Capital, and Valor Equity Partners. Additional investors in the round include Founders Fund, Nvidia, GIC, Qatar Investment Authority, Radical Ventures, and TPG.
Capital Allocation Strategy
The fresh capital will be directed toward scaling Crusoe’s current data center infrastructure and accelerating the deployment of Spark, its innovative modular AI computing facilities. These compact, self-contained units are designed for truck transportation and can be rapidly connected to substantial power sources virtually anywhere.
Through in-house manufacturing of Spark units at proprietary facilities, Crusoe can achieve faster deployment timelines while eliminating the need for extensive construction crews on-site. The portable architecture also mitigates the community opposition that frequently accompanies traditional large-scale data center developments.
Among Crusoe’s operational facilities is a major installation in Abilene, Texas, which currently serves OpenAI. The company’s client roster also includes Meta, Microsoft, and Oracle.
Crusoe operates through three distinct revenue channels: providing data center colocation services for clients deploying their own GPU hardware, offering GPU rental services, and delivering compute-as-a-service for AI model training and inference workloads.
Rapid Growth Trajectory and Public Market Aspirations
Established in 2018, Crusoe initially focused on cryptocurrency mining operations powered by waste natural gas that would otherwise be flared. The company subsequently transitioned to AI infrastructure as computational demand accelerated across the industry.
Today, the firm boasts more than $140 billion in cumulative contracted value and exceeds 6 gigawatts of committed capacity, with 1 gigawatt currently online and operational.
Among recent commercial wins, Crusoe announced a $13 billion, five-year cloud services agreement with Jane Street, a quantitative trading firm, to provide GPU resources and comprehensive AI infrastructure.
The funding announcement coincides with the addition of three new board members: Thomas Seifert, CFO of Cloudflare; Bill Stein, CIO of Primary Digital Infrastructure; and JB Straubel, founder of Redwood Materials and a Tesla board member.
Straubel made a personal investment in Crusoe back in 2021, and Crusoe subsequently became the inaugural customer for Redwood’s energy storage division.
According to recent reports, the company has conducted exploratory meetings with investment banking firms including Goldman Sachs and Morgan Stanley regarding a potential initial public offering. However, no specific timeline has been publicly disclosed.
This Series F round follows remarkably quickly after Crusoe’s $1.38 billion raise at a $10 billion valuation in October 2025—just ten months ago. The company’s valuation has increased more than threefold in less than twelve months.
CEO Chase Lochmiller articulated the company’s strategic vision as owning the complete infrastructure stack “from electrons to tokens.”
Crusoe represents a prominent example of the emerging “neocloud” category—companies delivering specialized AI cloud computing and data center solutions to meet escalating computational demands across industries.
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