AiOnX, Nvidia, AT&S, and Schneider Electric Lead AI Data Center Investment Wave

Data center developer AiOnX has completed a $500 million acquisition of a majority stake in cryptomining firm Genesis Digital Assets (GDA), gaining 15 data centers in the US and Sweden with 1.3GW of available power. The company plans to convert these facilities from cryptocurrency mining to AI and high-performance computing workloads.

The deal, announced June 15 by AiOnX's parent company SWI Group, gives AiOnX a total of 3.6GW of data center capacity across the US and Europe. SWI Group now holds a 77 percent stake in GDA, which operates sites in North Carolina, South Carolina, Texas, and Sweden.

Nvidia Returns to Bond Market for AI Expansion

Nvidia is raising at least $20 billion through its first corporate bond offering since 2021, according to Bloomberg. The chipmaker is selling debt in seven tranches with maturities ranging from two to 30 years. A regulatory filing confirms the deal structure. The funds will support Nvidia's continued investment in AI chip production and data center infrastructure.

AT&S and Schneider Electric Invest in Supply Chain

AT&S, the Austrian printed circuit board and chip substrate manufacturer, will spend between €1.5 billion and €2 billion to expand capacity for high-end IC substrates used in AI and HPC chips. The investment covers its plant in Kulim, Malaysia, and its facility in Chongqing, China.

Schneider Electric has partnered with Foxconn to design and scale next-generation AI data centers. The collaboration, announced June 15, pairs Schneider's energy management expertise with Foxconn's electronics manufacturing capabilities. The two companies will focus on power distribution, cooling, and modular data center designs.

GPU Utilization Emerges as Key Metric

QumulusAI's $124 million deal with Hyperbolic highlights a shift in AI infrastructure priorities. Customers now care as much about utilization, efficiency, and production operations as raw GPU capacity, according to the companies. This trend could influence how data center operators design and manage their facilities.

The flurry of investments and partnerships signals that the AI data center buildout is accelerating across multiple fronts: converting existing facilities, raising capital, expanding supply chains, and optimizing operations. As hyperscalers and neoclouds compete for power and capacity, the industry is moving from a focus on raw compute to a more holistic approach that includes efficiency and utilization.