Crusoe's $3.9B bet on modular AI compute

Data center developer Crusoe said Thursday it raised $3.9 billion in a Series F round that pushes its valuation to $30.9 billion. The round was co-led by Atreides Management, Mubadala Capital, and Valor Equity Partners, with participation from Founders Fund, GIC, Nvidia, Qatar Investment Authority (QIA), Radical Ventures, and TPG, according to Crusoe.

The eight-year-old company's fresh capital infusion will help finance existing data center projects, including a large site in Abilene, Texas, used by OpenAI, as well as smaller, modular AI factories that can be transported by truck and connected to large power sources almost anywhere.

By manufacturing these modular data centers, called Spark, at its own facilities, Crusoe can deploy compute capacity quickly and without the need for large construction workforces. The smaller centers could also help Crusoe sidestep, at least in part, another major obstacle facing data center developers: backlash from local communities protesting massive complexes near their neighborhoods.

From crypto mining to AI infrastructure

Crusoe was founded in 2018 as a crypto mining operation powered by flared natural gas, but pivoted to AI infrastructure as demand for computing power skyrocketed. The company's customers include Meta, Microsoft, and Oracle.

This three-pronged business model has helped make Crusoe one of the most valuable AI infrastructure companies. Crusoe recently signed a massive $13 billion, five-year cloud contract to supply quantitative trading firm Jane Street with GPUs and AI infrastructure, Bloomberg reported.

The company recently met with investment bankers, including Goldman Sachs and Morgan Stanley, to discuss a potential IPO in the near future, Axios reported last month.

Inside the modular AI factory strategy

Crusoe's plan to build small, truck-transportable AI factories represents a departure from the traditional approach of constructing massive, fixed data centers that require years of planning and large construction crews. By manufacturing these modular units at its own facilities, Crusoe says it can deploy compute capacity quickly and without the need for large construction workforces.

The smaller centers could also help Crusoe sidestep, at least in part, another major obstacle facing data center developers: backlash from local communities protesting massive complexes near their neighborhoods. The modular approach may allow Crusoe to place smaller facilities in more locations, potentially reducing the scale of local opposition to any single site.

The company makes money by leasing data center space to customers that bring their own GPUs, by renting out its own GPUs, and by selling compute power used to run AI models, known as inference. This three-pronged business model has helped make Crusoe one of the most valuable AI infrastructure companies.

Board additions signal deeper industry ties

Crusoe also announced three new board members, including 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 already has ties to Crusoe; he personally invested in the company in 2021, and Crusoe later became the first customer of Redwood's energy storage business.

The board appointments bring together executives from cloud infrastructure, digital infrastructure investment, and energy storage — three areas critical to Crusoe's ability to scale its data center operations. Seifert's experience at Cloudflare, a company that provides content delivery and security services, could offer perspective on network and security challenges as Crusoe expands its compute footprint.

What the funding round means for Crusoe's roadmap

The fresh fundraise comes 10 months after Crusoe raised $1.38 billion at a $10 billion valuation last October. The Series F round's $30.9 billion valuation represents a significant increase from that previous mark.

Crusoe co-founder and CEO Chase Lochmiller, who is pictured above, said in a statement he believes AI will usher in an era of abundance, but to get there will mean “controlling the infrastructure from electrons to tokens, and we’re grateful to have investors who share that conviction.”

“controlling the infrastructure from electrons to tokens, and we’re grateful to have investors who share that conviction.”

— Chase Lochmiller, co-founder and CEO of Crusoe

The company's existing data center projects, including the Abilene, Texas, site used by OpenAI, will benefit from the new capital. The Abilene site is one of the large-scale facilities that Crusoe operates, and the funding will help finance its ongoing development.

The competitive landscape for AI infrastructure

Crusoe's raise comes as demand for AI computing power continues to surge, driven by companies training and deploying large language models and other AI applications. The company's customers include Meta, Microsoft, and Oracle, all of which require substantial compute resources for their AI initiatives.

By offering both traditional data center leasing and modular AI factories, Crusoe aims to serve a range of customers with different needs. Some may require the scale of a large facility like Abilene, while others may benefit from the flexibility of modular units that can be deployed quickly and closer to power sources.

The three-pronged business model — leasing space, renting GPUs, and selling inference — gives Crusoe multiple revenue streams and positions it to capture value across the AI infrastructure stack. This approach has helped make Crusoe one of the most valuable AI infrastructure companies.

Investor roster reflects broad interest

The Series F round was co-led by Atreides Management, Mubadala Capital, and Valor Equity Partners. Founders Fund, GIC, Nvidia, Qatar Investment Authority (QIA), Radical Ventures, and TPG also participated, according to Crusoe.

The involvement of Nvidia, a key supplier of AI chips, and sovereign wealth funds like Mubadala Capital and Qatar Investment Authority, underscores the level of institutional interest in AI infrastructure. These investors are betting that demand for compute will continue to grow as AI adoption expands.

The round's size — $3.9 billion — is substantial even by the standards of AI infrastructure, and it pushes Crusoe's valuation to $30.9 billion. The company's ability to attract such a large round from a diverse group of investors suggests confidence in its business model and growth prospects.

Potential IPO on the horizon

Crusoe recently met with investment bankers, including Goldman Sachs and Morgan Stanley, to discuss a potential IPO in the near future, Axios reported last month. The company has not announced a timeline for going public, but the meetings indicate it is considering the possibility.

The fresh fundraise comes 10 months after Crusoe raised $1.38 billion at a $10 billion valuation last October. The Series F round's $30.9 billion valuation represents a significant increase from that previous mark, which could make an IPO more attractive to the company and its investors.

If Crusoe does pursue an IPO, it would join a growing list of AI infrastructure companies seeking public markets. The company's three-pronged business model and its modular AI factory strategy could be key selling points for potential public investors.

What this means for the AI infrastructure race

Crusoe's $3.9 billion raise and $30.9 billion valuation reflect the intense demand for AI compute and the willingness of investors to fund infrastructure at scale. The company's modular AI factories could offer a way to deploy compute faster and with less local opposition than traditional data centers, which may be important as communities push back against large facilities.

For businesses that rely on AI, the expansion of compute capacity could mean more options for running models and potentially lower costs over time. For the industry, Crusoe's ability to raise such a large round suggests that AI infrastructure remains a priority for investors, even as questions about the sustainability of AI spending persist.

The company's three-pronged business model and its modular approach could also influence how other data center developers think about their own strategies. If Crusoe can successfully deploy modular AI factories at scale, it may encourage others to pursue similar approaches, potentially changing the economics of AI infrastructure.