· via TechCrunch
Crusoe raises $3.9B at $30.9B valuation for AI data centers and truck-sized AI factories
Data center developer Crusoe has raised $3.9 billion in Series F funding at a $30.9 billion valuation, tripling its worth in ten months to fund large AI data centers and truck-deliverable modular compute units.

Crusoe, a data center developer that has positioned itself as a full-stack AI infrastructure provider, has raised $3.9 billion in a Series F round valuing the company at $30.9 billion, TechCrunch reported on Thursday. The round was co-led by Atreides Management, Mubadala Capital and Valor Equity Partners, with Founders Fund, GIC, Nvidia, the Qatar Investment Authority, Radical Ventures and TPG also participating.
A steep valuation climb
The figure marks a dramatic step up from Crusoe's previous raise: just ten months earlier, in October, the company collected $1.38 billion at a $10 billion valuation, according to TechCrunch. That trajectory — a roughly threefold increase in worth in under a year — reflects how aggressively investors are underwriting demand for AI compute.
Crusoe was founded in 2018 as a cryptocurrency mining operation powered by flared natural gas, and later pivoted to AI infrastructure as demand for computing power surged. Its customers include Meta, Microsoft and Oracle.
From giant campuses to truck-sized compute
The new capital will finance existing data center projects, including a large site in Abilene, Texas, used by OpenAI, TechCrunch reports. It will also fund a second, smaller format: modular "AI factories," branded Spark, that are manufactured at Crusoe's own facilities, delivered by truck and connected to large power sources almost anywhere.
Because the units are built in a factory rather than assembled on site, Crusoe can add compute capacity quickly and without large construction workforces. The modular approach could also help the company partially sidestep a growing obstacle for data center developers: local community backlash against massive complexes near residential neighborhoods.
Three ways to make money
Crusoe generates revenue by leasing data center space to customers that bring their own GPUs, by renting out its own GPUs, and by selling inference compute — the power used to run AI models. That three-pronged model has made Crusoe one of the most valuable AI infrastructure companies, according to TechCrunch.
The company recently signed a $13 billion, five-year cloud contract to supply GPUs and AI infrastructure to quantitative trading firm Jane Street, Bloomberg reported. Crusoe has also met with investment bankers including Goldman Sachs and Morgan Stanley to discuss a potential IPO in the near future, Axios reported last month.
Alongside the raise, Crusoe announced three new board members: Cloudflare CFO Thomas Seifert; Bill Stein, partner and CIO at Primary Digital Infrastructure; and Redwood Materials founder and CEO JB Straubel, who also sits on Tesla's board. Straubel personally invested in Crusoe in 2021, and Crusoe later became the first customer of Redwood's energy storage business.
Crusoe's co-founder and CEO said in a statement that AI could usher in an era of abundance, but that getting there means "controlling the infrastructure from electrons to tokens," adding that the company is grateful to have investors who share that conviction.
Why it matters
A $3.9 billion round at a $30.9 billion valuation is one of the largest private financing events in the AI infrastructure sector, and it shows capital continuing to chase physical compute capacity rather than only model developers. The jump from a $10 billion valuation in under a year signals that investors expect the data center shortage — and the revenue attached to it — to persist. Crusoe's modular Spark factories are also a bet that the next phase of the buildout may be distributed: placing compute next to power wherever it is available, rather than fighting for grid capacity and community approval at hyperscale campuses. With an IPO reportedly under discussion and a nine-figure contract already signed, Crusoe's trajectory will be a useful gauge of whether AI data center economics can hold up as an independent business at public-market scale.
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