Megaport Ltd. plans to raise A$827.3 million (US$594 million) in Australia to fund an artificial-intelligence inference cloud [1].
The move signals a strategic pivot for the Australian data-center and network services company as it attempts to capture the surging demand for AI-related data-center capacity [1]. By investing in specialized hardware and cloud architecture, Megaport aims to position itself as a critical layer in the AI supply chain.
The company is seeking these funds to support four new AI infrastructure contracts with technology providers based in the U.S. [1, 2]. These specific contracts are valued at A$458.9 million [2]. The company expects these projects to begin in the first half of 2027 [3].
A significant portion of the capital will be directed toward hardware procurement. Megaport requires nearly A$369.5 million for GPU hardware to power the planned inference cloud [3]. This infrastructure is designed to handle the operational phase of AI, where trained models are used to make predictions or generate content.
The capital raise will be conducted within Australia to ensure the company has the liquidity needed to meet these high-cost hardware requirements [1]. The expansion follows a global trend of network providers diversifying into AI-specific compute, and connectivity services to avoid obsolescence in the face of generative AI growth [1, 2].
“Megaport Ltd. plans to raise A$827.3 million (US$594 million) in Australia to fund an artificial-intelligence inference cloud.”
This investment reflects the transition of data-center providers from general-purpose connectivity to AI-optimized infrastructure. By focusing on an 'inference cloud,' Megaport is targeting the deployment phase of AI, which requires high-speed networking and massive compute power to serve end-users in real-time. The scale of the capital raise and the reliance on U.S. technology providers highlight the ongoing dependency of global AI infrastructure on American hardware and software standards.
