Crusoe Energy Systems, the company that once powered Bitcoin mining rigs with wasted natural gas, is now in discussions to raise $3 billion in a pre-IPO funding round that could push its valuation to somewhere between $30 billion and $40 billion. That would represent roughly a tripling from the over $10 billion valuation it achieved during its Series E round in October 2025.

The capital machine keeps humming

Crusoe’s fundraising history reads like a company that figured out how to speedrun Silicon Valley’s capital stack. The company closed a $600 million Series D in December 2024 at a $2.8 billion valuation. Less than a year later, it pulled in $1.375 billion in Series E funding at a valuation exceeding $10 billion. Now the pre-IPO round discussions, which reportedly began around March 2026, target another $3 billion. Total equity raised by the company already exceeds $2.6 billion, with backers including NVIDIA and Fidelity.

From flared gas to 4.9 gigawatts of AI capacity

The company started by deploying mobile data centers to oil fields, using natural gas that would otherwise be burned off into the atmosphere to power Bitcoin mining operations. Crusoe subsequently divested its legacy Bitcoin mining assets to NYDIG in March 2025, allowing it to concentrate fully on developing and scaling AI data centers.

As of June 2026, Crusoe has reported contracted AI infrastructure capacity of approximately 4.9 gigawatts. The development pipeline tells an even bigger story: Crusoe has over 40 gigawatts in future project capacity lined up. The company’s client roster now includes Meta, with contracts for computing capacity at data centers in Texas and Missouri.

What this means for investors

The pre-IPO structure of this round is worth paying attention to. When companies raise at pre-IPO terms, it typically signals that a public listing is on the horizon, probably within 12 to 24 months. For Crusoe, a successful $3 billion raise at these valuations would create significant pressure to eventually go public, giving early investors a liquidity path and giving the broader market another pure-play AI infrastructure name to analyze.

The risk factors here are the ones that keep infrastructure investors up at night: permitting delays, power grid constraints, construction cost overruns, and the possibility that AI compute demand could plateau or shift in ways that make today’s capacity bets look oversized. A 40 GW pipeline is impressive on paper, but converting pipeline to operating capacity requires executing across dozens of jurisdictions, utility negotiations, and construction timelines simultaneously.