In Brief
- Hut 8 signs 15-year, $7B lease for AI capacity with Fluidstack.
- Google backs Hut 8’s AI infrastructure project at River Bend campus.
- Hut 8 stock surges 25% after AI-focused infrastructure deal.
Hut 8 has secured a 15-year lease agreement with Fluidstack for 245 megawatts (MW) of IT capacity at its River Bend campus in Louisiana.
This deal is worth $7 billion, with the potential to rise to $17.7 billion if renewal options are exercised. Fluidstack will operate high-performance compute clusters for AI company Anthropic at the site.
Construction for the first data hall is expected to finish by early 2027. The agreement also grants Fluidstack a right of first offer for an additional 1,000 MW of capacity at the site.
The partnership highlights Hut 8’s strategy to expand its energy-heavy infrastructure for AI computing.
Google is backing the deal, providing a financial guarantee to ensure lease payments and obligations over the 15-year term. Hut 8 CEO Asher Genoot emphasized the company’s focus on scalable power and infrastructure solutions.
This partnership builds on Hut 8’s growing role in AI infrastructure, alongside its traditional cryptocurrency mining operations. The deal is part of a broader trend where former crypto miners are shifting to AI workloads due to increasing demand for computing power.
Hut 8’s Pivot to AI Infrastructure Sparks Stock Surge
Following the announcement, Hut 8’s stock surged by more than 25% in premarket trading. Investors responded positively to the company’s pivot towards supporting AI infrastructure at a large scale.
The River Bend project will start with 245 MW of capacity, but the potential exists for up to 2.3 gigawatts of AI data center infrastructure across the U.S. The partnership with Fluidstack and Anthropic positions Hut 8 as a key player in AI computing infrastructure.
The agreement reflects Hut 8’s broader plans to expand its development pipeline. The company aims to deliver up to 2,295 MW of AI capacity across its sites. Hut 8’s latest move signals growing interest in large-scale data centers to support the increasing demand for AI models.
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