Microsoft’s $9.7B AI Infrastructure Deal Boosts Data-Center Growth
Microsoft will pay about 20% of the total up front to get priority access to IREN's growing GPU clusters, which will be built with Nvidia's next-generation chips, which are said to be the upcoming GB300 series.

Microsoft’s $9.7B AI Infrastructure Deal Energizes Data Centers
Microsoft has signed a big contract with data-center operator IREN to spend about $9.7 billion over five years to get new cloud computing capacity for AI workloads. Microsoft will pay about 20% of the total up front to get priority access to IREN's growing GPU clusters, which will be built with Nvidia's next-generation chips, which are said to be the upcoming GB300 series. The GPUs will be used at IREN's 750 MW Childress, Texas campus, which includes new liquid-cooled halls that will give Microsoft about 200 MW of IT load when they are finished. Microsoft is basically "renting" IREN's cutting-edge AI servers as they come online instead of building its own from the ground up. This method fits into Microsoft's larger AI plan to quickly build up infrastructure.
In the last quarter, the company spent about $35 billion on capital expenditures related to cloud and AI (half on chips and half on data centers). By making these partnerships, Microsoft can speed up the growth of AI capacity without having to deal with long delays in building data centers and connecting to the grid. This way, they don't have to worry about owning hardware that quickly becomes obsolete.
Microsoft’s Massive AI Infrastructure Commitment
The IREN deal with Microsoft is part of a multi-billion-dollar effort to improve AI computing power. The five-year contract, which requires a 20% payment up front, guarantees access to servers as each batch of Nvidia GPUs is set up at IREN's site. Microsoft’s own executives note that IREN brings “expertise in building and operating a fully integrated AI cloud — from data centers to GPU stack — combined with their secured power capacity,” making it a strategic partner. Microsoft can grow much faster with this partnership than if it tried to build all of its new data centers by itself.
In particular, it avoids two major problems: getting a lot of electricity and getting local approvals for new data halls. According to Reuters, working with IREN "would let Microsoft increase computing capacity without having to build new data centers or get more power."
The IREN deal adds to other recent deals that increase capacity. For instance, Microsoft has signed a $17.4 billion deal with the startup Nebius for AI computing and a separate multi-billion dollar deal with Lambda to set up Nvidia-based infrastructure. Microsoft and Brookfield Asset Management agreed on a plan to build about 10.5 gigawatts of renewable energy (wind and solar) capacity for its data centers.
These actions show that Microsoft is working with other companies to build AI infrastructure. Instead of paying for all of the capital expenditures itself, it locks in supplies of GPUs, data halls, and even green power through long-term contracts. This model keeps Microsoft flexible by keeping it from using old, bulky hardware and making sure it has the infrastructure it needs to support its AI growth when it needs it.
What the Deal Means for AI Infrastructure Growth
Secures important GPU supply: The contract guarantees Microsoft first access to Nvidia's newest high-end GPUs. Because there aren't enough chips to meet demand for AI, Microsoft can keep adding AI services by locking in these chips through a partner.
"Lease" vs. build acceleration: By using IREN's facilities, Microsoft is essentially leasing new data center space that is ready for AI instead of building its own. This avoids years of construction and getting permits from the local government, which lets Microsoft scale compute much faster.
The deal, which includes a 20% prepayment, lowers the risk of losing money on the deal. Microsoft isn't buying and owning all the hardware itself, which means they won't have to deal with the problem of buying GPUs that lose value quickly as new generations come out.
Talks about power limits: AI servers need a lot of power. Microsoft can use the existing grid capacity by working with IREN, which has secured power for a total of 2,910 MW, including the Childress campus. Its Brookfield renewables deal (10.5 GW of new wind and solar) also directly addresses the need for more clean power to run future data centers.
These deals help the AI infrastructure ecosystem grow, which is good for the specialized "AI cloud" market. Established cloud companies that use GPUs (like CoreWeave and Nebius) and new data center builders are getting ahead as hyperscalers hire out capacity. In other words, a new market of "AI-native" infrastructure providers is starting to form to meet the growing need for computing power.
Why Investors Are Watching Infrastructure Stocks
Microsoft's infrastructure deals have unexpectedly sparked a number of companies that focus on infrastructure:
Companies that make renewable energy (like Brookfield, X-Elio, and others): Microsoft's multibillion-dollar deal with Brookfield to build 10.5 GW of clean energy means that renewable developers will get new projects and money. Large power contracts make investors more interested in companies that can provide the wind and solar capacity they need on a large scale.
Suppliers of hardware (Dell, NVIDIA): Dell has placed an order for Nvidia GPUs and server equipment worth about $5.8 billion through the IREN contract. Investors took this stronger sales pipeline into account, and Dell's stock went up. Nvidia, the chip maker, is also seeing a lot of demand for its data-center GPUs, even though it isn't directly mentioned in this deal.
Data-center operators (IREN and others): The news of the deal caused IREN's stock price to rise by about 25%, which shows how big cloud contracts can greatly raise a provider's market value. Other specialized infrastructure companies, like Lambda, CoreWeave, and Nebius, are also getting a lot of attention because analysts say that getting a deal with Microsoft or another hyperscaler means guaranteed long-term income.
Investors in infrastructure and REITs: Generalist data center investors may benefit indirectly as capacity runs out and prices go up. Private equity and real estate investment trusts that own digital infrastructure see that there isn't enough of it and that there is a lot of demand for it. As one analyst put it, tech companies are making the AI "brain," and companies like Brookfield are making the "body" of infrastructure that keeps it alive.
In short, this flurry of contracts is changing where the money goes in the AI boom. It favors companies that build the physical backbone, like power plants and server farms, over companies that only make software.
A Foundation for the AI Future
These changes show that infrastructure is now the most important part of AI's growth. Experts say that the AI economy will need trillions of dollars in new investments in data centers, chips, and power grids. Microsoft and Meta, two of the biggest tech companies, spend tens of billions of dollars every year on AI data centers. But as Brookfield's leaders point out, the real problem may not be money, but electricity and land. Brookfield says, "technology companies are building the brain while Brookfield is building the body, and a brain can't work without a body."
The IREN and Brookfield deals show how the AI arms race is growing from the ground up in real life. Microsoft is laying down the hardware "tracks" for future AI services by getting custom data halls, specialized GPUs, and dedicated green power.
As AI applications get stronger and need more power, the stability and size of the infrastructure that supports them becomes very important. Microsoft's multibillion-dollar promises show that the whole industry is starting to understand that cutting-edge AI models depend on both algorithms and physical infrastructure. As a result, the companies that build the infrastructure (data centers, power plants, and networks) are becoming very important to the future of AI.
Ready to Scale Your Remote Team?
Workfall connects you with pre-vetted engineering talent in 48 hours.
Related Articles
Stay in the loop
Get the latest insights and stories delivered to your inbox weekly.