AI data center buildout hits critical pace: $7B-$40B mega-deals reshape infrastructure investing. Partners Group, Brookfield, MGX/BlackRock Lead Global Dash for Compute Capacity A $40 billion acquisition. A $7 billion battery storage deal. A $15 billion fund close. And that was just one week of infrastructure investing in July 2026. AI has rewritten the rules for infrastructure capital. Last week, mega-investors moved $297 billion across data centers, compute capacity, power infrastructure, and connectivity - with AI-driven compute dominating the allocation. This isn't a cyclical uptick. It's a structural reordering of where infrastructure capital flows. The megadeals that signal a market reset. BlackRock's Global Infrastructure Partners, Middle East's MGX, and Saudi Arabia's Anthropic Investment Program jointly acquired Aligned Data Centers for $40 billion - the largest infrastructure data center deal in history. This single transaction captured the market's conviction: compute capacity is now as critical as energy or transportation. Brookfield, long the quiet leader in infrastructure consolidation, acquired Aypa Power from Blackstone for $7 billion - a battery storage platform built for grid-scale deployment. The timing is not coincidental. Every megawatt-hour of AI compute requires proportional power infrastructure and storage to smooth demand. Anthropic and AMD announced a strategic partnership to deploy up to 2 gigawatts of GPU capacity - backed by AMD's $5 billion equity commitment. OpenAI is deploying up to 6 gigawatts via AMD's Helios rackscale system. These are infrastructure commitments, not vendor relationships. They bind compute capacity to artificial intelligence as core infrastructure. Partners Group closed its fourth direct infrastructure programme above $15 billion, dedicated to long-term infrastructure assets. This is capital-as-patient-capital - mega-funds willing to hold infrastructure for a decade or more. The persistence of mega-fund closures across consecutive quarters signals LP conviction that infrastructure is the hedge against AI disruption. Data Centers: the new grid. In the prior seven days, 26 separate data center transactions were announced. Polar DC commenced a 40MW facility in Norway. Sabey started construction on a 120MW data center campus in Oregon. Submer Technologies proposed a 2GW data center on a former steelworks in Kentucky. Hong Kong's ITC signed a memorandum for a 1GW facility near Shanghai. These are not venture-scale plays. These are industrial-grade infrastructure deployments. Hut 8 secured a $9.8 billion lease for an AI data center on its Texas campus. Pure DC secured €1.3 billion in financing for a Finnish data center campus. Verda, a Helsinki-based AI infrastructure company that raised €102.5 million just months ago, secured an additional €22 million Nordic Investment Bank loan. This is venture-scale capital chasing industrial-scale infrastructure - a sign that the deal-making architecture itself is shifting. The capital is moving from financial engineering to physical engineering. Brookfield, Partners Group, and BlackRock are not syndicating these deals on Wall Street. They are acquiring assets, building them, and holding them. This is not how infrastructure worked five years ago. Power and cooling: the second layer. Every data center needs power. Every power system needs cooling. DG Matrix and Skeleton Technologies partnered on 800V DC power systems specifically for AI data centers. Submer specializes in immersion cooling for hyperscale compute. CATL announced its first large-scale sodium-ion energy storage project in Central and Eastern Europe - a shift toward battery chemistries optimized for grid-scale storage, not vehicle propulsion. Brookfield's $7 billion Aypa Power acquisition is the clearest signal: battery storage is now a strategic infrastructure asset class, not a renewable-energy adjacency. Investors are building the full stack: compute + power + storage. This is vertical integration at the infrastructure level. Connectivity is the forgotten story. While AI infrastructure captured headlines, traditional connectivity saw consistent deployment. MTN announced a $9.1 million 5G network push in South Africa. América Móvil acquired WOW Peru to expand fiber footprint in Latin America. Telin and BW Digital landed a subsea cable in Batam, Indonesia. DP World signed a 50-year deal to develop two terminals in Fujairah. These are steady-state infrastructure deals, each $1-10 billion. They lack the drama of a $40 billion acquisition, but they are the foundation upon which cloud capacity depends. No AI infrastructure scales without last-mile connectivity. Geographic dispersion and the rush for proximity. Infrastructure investment in AI is not centralizing. The deal flow shows deployment across three zones: Western Europe (Norway, Finland, Netherlands, Germany), North America (Oregon, Texas, Kentucky), and Asia-Pacific (Shanghai, India, Indonesia, Australia, South Africa). This is deliberate geographic diversity - a hedge against regional grid constraints and latency requirements. China's Z.ai operating 1GW of data center capacity using domestically manufactured chips signals the emergence of non-Western compute infrastructure. This is new. Infrastructure investors are now hedging against geopolitical fracture, not just market cycles. The fund managers are doubling down. Partners Group, Brookfield, BlackRock's GIP, and MGX are not dabbling. They are committing multi-billion-dollar tranches to single deals and mega-funds. This is institutional capital voting with massive conviction. The traditional infrastructure playbook - toll roads, regulated utilities, brownfield assets with 20-year cash flows - is being superseded by a new category: compute infrastructure with 10-year, venture-scale returns and exponential demand curves. Mega-funds are repricing their entire infrastructure allocation around AI. Secondaries activity also accelerated. Partners Group's latest programme close shows that LPs are committing capital to infrastructure buyouts from prior vintages, freeing up cash for mega-funds to deploy into new AI-driven opportunities. This is the capital-recycling machinery of large-scale infrastructure investing moving into overdrive. What this means for Q3 and beyond. Infrastructure investing just crossed a Rubicon. Compute capacity is now core infrastructure, not a tech sector play. Mega-funds are building, acquiring, and holding these assets for the long term. Power and cooling are specializations, not afterthoughts. Connectivity remains foundational and underfunded relative to demand. The question for infrastructure managers over the next 12 months is not whether to invest in AI data centers - that horse has left the stable. It is whether the capital deployment rate can match demand. Every data center announced has a waiting list. Every power contract is oversubscribed. This is the inverse of typical infrastructure cycles: demand-constrained capital, not capital-constrained demand. For investors, the implications are stark. Infrastructure returns have historically been 7-9% annually, stable and uncorrelated. AI-driven compute infrastructure is pricing closer to 12-15%, reflecting the venture-scale demand, the scarcity of buildable assets, and the geopolitical hedging premium. This is a new asset class wearing the costume of infrastructure.

New partnership targets 800V DC power for next-generation AI data centers. Jul 23, 2026 | Posted by Abdul-Rahman Oladimeji Transformer maker DG Matrix has partnered with Skeleton Technologies to develop 800V DC power solutions for AI data centers. The collaboration will integrate Skeleton's fast-response energy storage systems with DG Matrix's Interport solid-state transformer platform to help manage GPU power fluctuations inside data centers, reducing strain on traditional grid and UPS systems. "The shift to 800V DC power architecture represents one of the most important evolutions in the data center industry. As power demands for AI workloads become even greater, fast-acting energy storage is essential to ensuring that GPU bursts don't destabilize electric grids. Working with DG Matrix gives us the opportunity to demonstrate how our high-power energy storage technologies complement solid-state transformer architectures and support more resilient, efficient data center infrastructure," said Taavi Madiberk, CEO and co-founder of Skeleton Technologies. DG Matrix and Skeleton Technologies are targeting AI data center power challenges with advanced energy solutions. Skeleton develops graphene-based supercapacitors designed to manage rapid load changes in AI facilities, while DG Matrix's Interport solid-state transformer platform aims to simplify integration of grid, renewable, and battery power sources. DG Matrix has also partnered with PowerSecure to support next-generation power infrastructure for AI data centers and electrification projects.