Applied Digital Will Target 4 Gigawatts Capacity by 2030

The data center operator plans to significantly expand its infrastructure for artificial intelligence and computing.

Updated on Oct. 8, 2026 in Data Centers

Isometric editorial illustration of a large industrial data center building, representing infrastructure expansion for AI computing capacity. — Applied Digital plans to scale its data center infrastructure to 4 gigawatts by 2030, aiming to meet the massive demand for high-performance AI computing. AI Illustration. Upload story photo >

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Applied Digital intends to reach a total capacity of 3.5 to 4 gigawatts by the end of 2030. The company also expects to bring 600 megawatts of new capacity into service within the next 12 months to meet infrastructure demand.

Why it matters

Expanding data center capacity is critical for the firm to meet the surging demand for high-performance computing and artificial intelligence. This infrastructure development positions the company to scale its operations despite headwinds such as community resistance and supply chain constraints.

Applied Digital anticipates that lease prices for 250 megawatts of new capacity will rise by 15% by the end of 2026. The firm currently operates facilities tailored for cryptocurrency mining, artificial intelligence, and high-performance computing.

The players

Applied Digital

This company operates specialized data centers that provide infrastructure for high-performance computing, artificial intelligence, and cryptocurrency mining.

The details

The company is actively scaling its data centers while maintaining financial flexibility to refinance its existing portfolio. To achieve its growth targets, leadership must navigate various expansion risks, including regulatory permitting hurdles, local moratoriums, and tight supply chains.

600 megawatts of capacity are expected to enter service within the next 12 months.
Lease prices are projected to rise by 15% on 250 megawatts of capacity by year-end 2026.
The firm targets a total capacity of 3.5 to 4 gigawatts by the end of 2030.

The Tech Race

This aggressive growth plan highlights the broader arms race among data center operators to secure power and space for increasingly intensive artificial intelligence workloads. By targeting gigawatt-scale capacity, the company aims to move beyond traditional niche mining operations into the core of the global computing infrastructure.

The firm's ability to scale infrastructure may influence the long-term availability and cost of cloud-based AI services for developers and enterprise users. Changes in lease pricing for data center space could also serve as a barometer for the cost of scaling digital projects in the coming years.

The takeaway

Scaling large-scale data infrastructure requires balancing rapid deployment goals with complex risks like regulatory permitting and supply chain bottlenecks. Investors and users should monitor how the company manages financing costs as it pushes toward its long-term capacity targets.