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Rumble to Acquire Northern Data in $767 Million All-Stock Deal to Boost AI and Data Center Capabilities

Rumble to Acquire Northern Data in $767 Million All-Stock Deal to Boost AI and Data Center Capabilities. Source: Jernej Furman from Slovenia, CC BY 2.0, via Wikimedia Commons

Rumble Inc. (NASDAQ: RUM) announced plans to acquire German data center operator Northern Data AG (F: NB2) in an all-stock deal valued at approximately $767 million. The acquisition aims to expand Rumble’s infrastructure and strengthen its position in the fast-growing artificial intelligence and data center sectors.

According to the announcement, Rumble will issue 2.0281 newly minted Class A shares for each Northern Data share, equating to roughly $11.95 per share. This represents about a 15% discount compared to Northern Data’s recent closing price of €11.90 ($13.76) on the Frankfurt Stock Exchange, based on Investing.com calculations.

In addition to the share exchange, Rumble stated it may pay an additional $200 million in cash to Northern Data shareholders if the acquired business achieves certain performance milestones. The deal has already secured backing from key investors, including cryptocurrency firm Tether and other major stakeholders, who collectively hold around 72% of Northern Data’s shares. Tether, which also owns roughly 48% of Rumble, has agreed to sell its shares under the same exchange terms.

This acquisition follows Rumble’s earlier announcement in August that it was exploring potential opportunities with Northern Data. The transaction was also hinted at in a Bloomberg report over the weekend suggesting a deal was imminent.

By acquiring Northern Data, Rumble gains access to its fleet of NVIDIA Corporation (NASDAQ: NVDA) graphics processing units and four strategically located data centers. This move positions Rumble to leverage high-performance computing power and expand its role in cloud infrastructure—a cornerstone of the artificial intelligence boom. The deal underscores Rumble’s ambition to diversify its technology footprint and compete in the evolving AI-driven data economy.

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