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IREN Secures $3.65 Billion GPU Financing for Microsoft AI Cloud Expansion

IREN Secures $3.65 Billion GPU Financing for Microsoft AI Cloud Expansion

IREN states that the investment-grade financing, backed by NVIDIA GPUs and Microsoft contract cash flows, supports a $9.7 billion AI cloud agreement and broader AI data center expansion in Texas.

Fact Check
IREN's official press release ('IREN Closes $3.65bn Investment-Grade GPU Financing') directly confirms every element of the claim: $3.65bn total ($2.10bn private placement + $1.55bn DDTL), funding 96% of GPU capex, supporting expansion to 480MW AI Cloud capacity by end of 2026, anchored by the Microsoft AI Cloud contract. The Block and Investing.com provide independent corroboration of the same figures.
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Summary

IREN said it closed a $3.65 billion investment-grade GPU financing facility to support its multiyear AI cloud contract with Microsoft, calling it the first deal of its kind in the U.S. private placement market. The package includes a $2.10 billion private placement priced at a fixed rate equivalent to SOFR plus 2.13% and a $1.55 billion delayed-draw term loan at SOFR plus 2.25%, which IREN hedged to reach a 6.00% blended borrowing cost. Fitch rated the facility A and DBRS assigned A(low). According to IREN, the financing, together with Microsoft prepayments, covers about $5.59 billion, or roughly 96%, of its $5.81 billion GPU bill under a $9.7 billion five-year Microsoft AI cloud contract tied to four data centers in Childress, Texas, where the company plans to reach 480 megawatts of AI cloud capacity by the end of 2026.

Terms & Concepts
  • GPU: A graphics processing unit is a specialized chip used for intensive computing tasks, including AI model training and cloud infrastructure workloads.
  • SOFR: The Secured Overnight Financing Rate is a benchmark interest rate used to price floating-rate debt and other financial contracts.
  • Investment-grade financing: Debt financing with relatively strong credit ratings, generally indicating lower perceived default risk and more favorable borrowing terms.