Hut 8 Investment Update: Coatue Backs $150 Million Funding for AI Infrastructure

Leading Bitcoin mining firm, Hut 8, has unveiled a substantial strategic investment of $150 million from Coatue to bolster its foray into the AI infrastructure sector.

Hut 8, headquartered in Miami, shared that the funding infusion is designated to strengthen its data center capabilities, particularly focusing on artificial intelligence (AI). Arranged through convertible notes carrying an 8% annual interest rate, the funding seeks to propel Hut 8's expansion into AI infrastructure to cater to the rising market demands and establish a strong foothold in this specialized domain.

Details regarding the exact location of Hut 8's forthcoming AI platform remain undisclosed, yet the financial backing is anticipated to empower the company in addressing unmet market needs and striving to attain a leadership position in the AI infrastructure market.

Aside from its U.S. operations, Hut 8 manages multiple cryptocurrency mining facilities in Canada; however, it has recently downsized its Canadian presence due to the surge in energy costs.

Hut 8's CEO, Asher Genoot, expressed his optimism about the investment update, asserting that it unlocks significant growth avenues and enhances connectivity within the broader industry ecosystem. Genoot praised the collaboration with Coatue, recognizing the firm's expertise and lengthy history of investments in the AI sector.

The convertible notes issued will have an initial five-year term, with the flexibility of three one-year extensions, providing adaptable repayment conditions, according to the official press release. Coatue's recent investment signifies its continued interest in the AI sector, having previously supported various AI ventures such as OpenAI and CoreWeave.

Reported by crypto.news, Hut 8's revenue surged to $60.6 million for the six months ending on Dec. 31, 2023. The company's financial report showcased a remarkable 32% revenue increase and a substantial rise in net income to $6.2 million compared to the previous period's net loss.