Nvidia, Microsoft, BlackRock, and xAI to Acquire Aligned Data Centers for $40 Billion
A consortium of investors including NVIDIA, Microsoft Corporation, BlackRock, and xAI has agreed to acquire Aligned Data Centers from Macquarie Asset Management in a transaction valued at $40 billion. The purchase represents one of the largest data center acquisitions to date.
The group is acting through the Artificial Intelligence Infrastructure Partnership (AIP), which was established in 2024 by BlackRock, MGX, Microsoft, and Nvidia to accelerate global investment in AI infrastructure. The Kuwait Investment Authority, xAI, and Temasek have joined the partnership as additional participants.
Aligned operates a network of approximately 80 data centers across North and South America, with more than 5 gigawatts of operational and planned capacity. The company will maintain its headquarters in Dallas, Texas, and continue under the leadership of CEO Andrew Schaap.
The acquisition is AIP’s first major investment and aligns with its plan to deploy $30 billion in equity capital for AI-related infrastructure. The deal is expected to close in the first half of 2026, subject to regulatory approvals and customary closing conditions.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like AI Funding Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Funding
More from: Data Centers
Subscribe to AI Funding Brief
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more