Australia’s Megaport has landed four new AI infrastructure contracts worth A$458.9 million and is raising A$827.3 million, or about $594 million, to build out its AI inference cloud business. The move reflects how infrastructure providers are racing to capture demand for the compute, storage, and networking needed to run AI workloads at scale.
The contracts, all with U.S.-based technology companies running AI applications, are expected to begin in the first half of 2027 and will require significant capital expenditure on Nvidia GPUs, network systems, and storage infrastructure. Megaport said the new investment will support an on-demand GPU pool that can be offered to enterprise customers through both contracted and consumption-based pricing models.
From Connectivity to Compute
Megaport’s strategy marks a major step beyond its core network connectivity business. The company is now positioning itself as a provider of AI compute infrastructure, using its global network of more than 1,100 data centres across 31 countries to deliver GPU capacity closer to enterprise users and reduce bottlenecks linked to power, connectivity, and access to high-performance chips.
That shift is important because enterprise AI adoption is moving from model training toward inference, where workloads need low-latency, always-available compute. Megaport’s globally distributed inference cloud is designed to meet that need, giving the company a larger role in the AI infrastructure stack than traditional networking alone would allow.
Capital Raise And Scale
To fund the buildout and the newly won contracts, Megaport has launched a fully underwritten entitlement offer priced at A$14.30 per share, a 13.9% discount to its last close on June 1. The company also tightened its 2026 revenue guidance to A$307 million-A$315 million, reflecting momentum in its network business.
The scale of the raise shows how capital-intensive AI infrastructure has become. As enterprise demand for GPU-based inference grows, providers like Megaport are increasingly being valued not just for their networks, but for their ability to supply the physical and digital plumbing behind AI deployment.
Why It Matters
Megaport’s move highlights a broader shift in the cloud and infrastructure market: AI value is moving toward the companies that can make compute usable, distributed, and commercially accessible at scale. With inference becoming a key battleground, the winners are likely to be the firms that can combine connectivity, GPU access, storage, and automation into one reliable platform.
For the industry, this is another signal that AI infrastructure is no longer a niche theme. It is becoming a mainstream capital allocation priority for providers trying to stay relevant in the next wave of enterprise cloud demand.
