Iren plans $10 billion AI data center in South Australia, marking Asia-Pacific expansion

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Nasdaq-listed Iren, run by Australian brothers Daniel and Will Roberts, will build a $10 billion AI data center in Bundey, South Australia. The 800-megawatt facility represents one of the largest announced data centers in the Asia-Pacific region and marks the company's first investment in Australia after building a $33.5 billion enterprise across North America.

Iren Announces First Australian AI Data Center Investment

Iren, the Nasdaq-listed artificial intelligence infrastructure company founded by Australian brothers Daniel and Will Roberts, has signed a transmission connection agreement for an 800-megawatt data center campus in Bundey, South Australia

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. The $10 billion project marks the company's first major investment in Australia after establishing operations across Canada and the United States, where IREN Ltd. has built a market capitalization of $23.8 billion

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. Located approximately 78 miles northeast of Adelaide in a town with no permanent residents, the South Australian AI data centre represents one of the largest announced facilities in the Asia-Pacific region to date

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Strategic Infrastructure and Connectivity Position

The Iren data center Australia project secures direct access to Asia-Pacific AI markets through submarine fiber connectivity linking Singapore, Indonesia, South Korea, and Japan

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. The transmission connection agreement provides four 330-kilovolt feeder exits at a utility substation, capable of supporting up to 800MW without requiring network upgrades

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. Initial energization is targeted from 2028, with early works and procurement expected to commence following regulatory approvals

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. The timing aligns with Microsoft Corporation's recent commitment of A$25 billion to expand AI cloud services and cloud capacity in Australia by 2029, signaling strong demand for GPU infrastructure in the region

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Renewable Energy Grid Advantages

South Australia's aggressive transition toward 100% net renewable energy by 2027 positions the facility to attract hyperscaler and AI workloads seeking clean energy credentials

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. Daniel and Will Roberts emphasized this advantage, with Co-Founder and Co-CEO Daniel Roberts stating: "South Australia offers what AI infrastructure at scale requires: abundant clean energy, the connectivity to serve the APAC region, and a State Government that understands the opportunity and is acting on it"

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. The renewable energy grid integration distinguishes the Bundey campus from competing facilities in regions still dependent on fossil fuel generation.

Source: Financial Review

Source: Financial Review

Market Response and Financial Backing

Macquarie maintained an Outperform rating with a $90 price target on IREN Ltd. following the announcement, while the company has delivered a 649% return over the past year

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. Separately, Cantor Fitzgerald raised its price target to $99 from $77, maintaining an Overweight rating based on capacity growth projections showing 670 megawatts expected online in 2027 with additional expansions planned for 2028

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. The company recently secured a $3.65 billion financing facility to support its AI Cloud contract with Microsoft Corporation, including a $2.10 billion U.S. private placement and a $1.55 billion delayed draw term loan

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. Additionally, Iren finalized a $1.6 billion purchase agreement with Dell for air-cooled Blackwell systems to support its managed services operations

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Economic Impact and Job Creation

The 800-megawatt data center campus is expected to create more than 200 ongoing skilled jobs and over 500 positions during construction

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. South Australian Premier Peter Malinauskas described the project as "a significant investment in our state, with the potential to create hundreds of construction jobs, support long-term skilled roles, and strengthen South Australia's position as a technology and innovation hub for the Asia-Pacific region"

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. The job creation figures matter to regional economies seeking to diversify beyond traditional industries while building technical workforce capabilities that can serve future AI infrastructure demands.

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