The large-scale expansion in the field of artificial intelligence continues to reshape the landscape of traditional infrastructure. In the spotlight is Hut 8's Beacon Point campus in Texas — this is where the computing capacity that Anthropic is purchasing from cloud provider Lambda will be deployed. This involves a multi-billion-dollar agreement that, according to my data, is estimated at approximately $35 billion and provides for about 350 MW of capacity.

The role of Nvidia and the deal structure

A key detail is Nvidia's involvement: it is Nvidia that leases the relevant capacity from Hut 8, while Lambda, in turn, will install Nvidia accelerators at the site and provide services to Anthropic. This arrangement highlights the growing integration between chip manufacturers, cloud operators, and AI model developers. For Hut 8, this is not just a lease — it is a strategic shift from a purely mining model to a diversified business.

Market reaction and undisclosed details

As of the time of writing this analysis, Hut 8 shares moved into the "red zone," falling to $76.22, reflecting investor caution in assessing the long-term implications of such contracts. Previously, Hut 8 reported two long-term agreements for leasing capacity at Beacon Point, but did not disclose the counterparties. The company has not confirmed the involvement of Lambda and Anthropic, nor has it clarified which of the two contracts this arrangement falls under — leaving room for speculation.

Notably, this trend is already being reflected in the sector: in August, IREN reported that revenue from cloud AI services exceeded bitcoin mining income for the first time. This is a signal that miners are increasingly pivoting toward high-margin areas, and the Hut 8 deal is yet another confirmation of this evolution.

My comment: Although the market responded with a decline in stock prices, I see long-term positives for Hut 8 in this deal. However, the key risk is dependence on the volatility of demand for AI capacity and the company's ability to efficiently scale infrastructure amid fierce competition from specialized data centers.