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US AI infrastructure set for major expansion

Hut 8 partners with Anthropic and Fluidstack to establish advanced AI data centres in the US, aiming to deploy up to 2,295 MW.

Hut 8 has embarked on an ambitious partnership with Anthropic and Fluidstack to accelerate the deployment of hyperscale AI infrastructure across the United States. At the core of this collaboration is the development of state-of-the-art digital infrastructure to propel energy-intensive, next-generation use cases.

The initiative promises to deliver between 245 megawatts (MW) and up to 2,295 MW of AI data centre infrastructure. Using high-performance clusters operated by Fluidstack, Hut 8 aims to meet the growing demands of AI technology.

The partnership unfolds through multiple phases:

  • Phase 1: The initial phase will target the River Bend campus in Louisiana. Here, Hut 8 and Fluidstack will establish 245 MW of IT capacity supported by a 330 MW utility capacity.
  • Phase 2: Hut 8 extends the Right of First Offer (ROFO) for up to an additional 1,000 MW of IT potential at River Bend, pending power expansion at the site.
  • Phase 3: In a strategic move, Hut 8 and Anthropic will explore the joint development of up to 1,050 MW further, beyond River Bend’s existing scope, enhancing the pipeline’s capacity.

Asher Genoot, the CEO of Hut 8, emphasised the pivotal role of power in scaling frontier AI infrastructure. He highlighted their innovation-driven model that synchronises power, data centre design, and deployment, creating an integrated, gigawatt-scale platform.

Anthropic's Head of Compute, James Bradbury, expressed optimism over the expanded collaboration, citing Hut 8’s capability to deliver on the scale required, ensuring continuous progress in their model enhancements.

Fluidstack's CEO, Gary Wu, reiterated their commitment to solving compute challenges across various complexities, expressing pride in partnering with institutions like Hut 8 to establish the foundational infrastructure vital for AI advancement.

This collaboration is expected to support the development of AI infrastructure and contribute to growth and technological progress

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