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IREN Soars 30% After Inking $9.7B AI Cloud Deal With Tech Giant Microsoft

The deal is indicative of how miners’ once-volatile hardware fleets are increasingly viewed as strategic compute assets, bridging the gap between blockchain and AI.

Updated Nov 3, 2025, 3:01 p.m. Published Nov 3, 2025, 11:31 a.m.
Racks of mining machines.

What to know:

  • Microsoft has signed a $9.7 billion agreement with IREN for AI cloud capacity, marking a significant move in the neocloud sector.
  • IREN, transitioning from Bitcoin mining, will purchase $5.8 billion in GPUs from Dell and expects $1.9 billion in annual revenue from the deal.
  • The deal highlights the strategic value of miners' hardware for AI, as Microsoft addresses GPU shortages to meet Azure AI demand.

Microsoft (MSFT) today said it had signed a $9.7 billion purchase agreement for AI cloud capacity from bitcoin miner-turned-neocloud company IREN (IREN).

The move marked one of the biggest commercial validations yet for the upcoming neocloud sector — referring to a group of data center firms that evolved from bitcoin mining into artificial intelligence infrastructure.

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Under the five-year contract, Microsoft will gain access to Nvidia GB300-based AI systems hosted in Texas.

IREN, formerly known for its large-scale bitcoin mining operations, will buy $5.8 billion worth of GPUs from Dell Technologies and expects nearly $1.9 billion in annualized revenue from the deal.

The announcement sent IREN’s shares soaring more than 30% in premarket trading, extending a 500% rally this year fueled by the AI hardware boom.

Founded during the bitcoin mining wave, IREN joins peers like CoreWeave and Crusoe in redeploying energy-intensive infrastructure toward AI workloads.

The deal is indicative of how miners’ once-volatile hardware fleets are increasingly viewed as strategic compute assets, bridging the gap between blockchain and AI.

Microsoft, meanwhile, has leaned on leasing contracts with such providers to meet surging demand for Azure AI services amid an ongoing global shortage of GPU capacity.

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