Hut 8 Partners with Anthropic and Fluidstack to Build Multi-Gigawatt AI Infrastructure in the U.S.

Dec 17, 2025
Hut 8 has announced a partnership with Anthropic and Fluidstack to develop up to 2.3GW of AI data center capacity in the United States, beginning with a 245MW facility in Louisiana.

Hut 8 has announced a partnership with Anthropic and Fluidstack to accelerate the deployment of hyperscale AI infrastructure in the United States, according to a press release. The collaboration will initially deliver 245 megawatts (MW) of IT capacity at Hut 8’s River Bend campus in Louisiana, with potential expansion to 2,295 MW across multiple sites.

The River Bend project will be developed with 330 MW of utility capacity and is supported by a 15-year lease agreement with Fluidstack. The partnership gives Anthropic a Right of First Offer for up to 1,000 MW of additional capacity at River Bend and includes an option to co-develop up to 1,050 MW at other Hut 8 locations.

Construction of the initial phase is scheduled for completion in 2027. The project will use high-performance clusters operated by Fluidstack to support Anthropic’s AI model development. Hut 8 said the initiative aligns power sourcing, data center design, and compute deployment into an integrated platform capable of scaling to gigawatt levels.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Guide
AI interconnect and networking startups

AI interconnect and networking startups

29 private startups developing the chips, optical switches and memory fabrics that move data through AI infrastructure.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.