TeraWulf Secures Game-Changing $3.7B AI Data Partnership with Google-Backed Fluidstack
Bitcoin miner turned AI infrastructure player TeraWulf just pulled off a power move—landing a $3.7 billion deal to supply computational muscle for Fluidstack's distributed AI network. Google's VC arm is among the backers betting this partnership cracks the code on scalable AI training.
From mining rigs to machine learning
The same facilities that once minted BTC now hum with GPUs crunching neural networks. TeraWulf's pivot from volatile crypto rewards to steady AI revenue streams could rewrite the playbook for distressed miners—assuming the hype isn't another 'decentralized cloud' fantasy.
Wall Street's watching
While traditional finance still sneers at crypto-native firms, $3.7B contracts tend to shut up even the stuffiest suits. Just don't ask about the energy bills—this deal's viability depends on electricity costs staying lower than bankers' cocaine habits.
Strategic Buildout and Timeline
Phase one will bring about 40 MW online in the first half of 2026. The full deployment of more than 200 MW is expected by year-end 2026. Thus, TeraWulf solidifies its position in the AI data infrastructure market, while Fluidstack will see short-term capacity growth.
Additionally, TeraWulf’s Lake Mariner site provides ultra-low-latency fiber connectivity, closed-loop water cooling, and dual 345 kV transmission lines. “This is a defining moment for TeraWulf,” said CEO Paul Prager, noting the alignment with world-class capital and compute partners. CTO Nazar Khan emphasized the site’s tailored design for demanding AI workloads.
Market Response and Growth Potential
Following the announcement, TeraWulf’s stock surged by 41.88% to $7.75, according to Yahoo Finance. Additionally, the deal comes with a 30-day exclusivity for CB-5 at Lake Mariner, which could bring in an additional 160 MW. With project costs estimated between $8 and $10 million per MW, the anticipated net operating income margin is 85%.
This agreement positions TeraWulf as a key player in AI infrastructure. With Google backing them, they gain credibility and financial strength, and the project’s scale promises steady revenue for the long haul.
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