SK Hynix has approved a $38 billion investment to expand its high-bandwidth memory production facilities in South Korea, securing the country's dominance in AI memory manufacturing through 2033. The move highlights the absence of U.S. domestic HBM fabrication capacity and raises concerns about suppl...
The surge in AI data center demand is driving extensive changes in U.S. energy infrastructure. Federal nuclear investments, utility capital expansions, and private sector innovations collectively reshape power generation and grid management to meet AI's continuous, high-capacity needs. This analysis...
The rapid growth of AI data centers in the U.S. is driving significant energy demands that local grids struggle to meet. Federal nuclear investments, modular data center innovations, and grid modernization including energy storage are converging to form an integrated energy strategy that balances re...
AI data centers in 2026 require unprecedented, continuous power, prompting innovations in nuclear lifecycle campuses, modular data center design, and utility grid modernization. These developments represent a strategic shift toward sustainable, reliable energy infrastructure essential for supporting...
The rapid growth of AI workloads is driving a transformation in data center infrastructure characterized by modular designs, nuclear energy integration, and full-stack efficiency improvements. These converging trends address scalability, energy reliability, and environmental concerns, signaling a st...
As AI data centers demand ever-increasing power, the U.S. DOE's $50 billion investment in nuclear innovation campuses and utilities like NextEra Energy's AI-driven grid management highlight nuclear energy's critical role in providing reliable, low-carbon power. This analysis explores how these devel...
In 2026, the AI infrastructure landscape is being reshaped by the co-evolution of advanced AI agent frameworks and governance models. This analysis compares leading frameworks on features, pricing, an...
This opinion piece argues that nuclear power, particularly modern small modular reactors, is essential for meeting the explosive energy demands of AI infrastructure sustainably. It critiques reliance ...
The AI industry’s reliance on GPUs for data center infrastructure is a strategic risk amid supply chain fragility and power demands. Silicon diversification—embracing AI accelerators, ASICs, and speci...
Advances in indium phosphide, silicon photonics, co-packaged optics, and optical circuit switches are driving a rapid shift from electrical to fully optical interconnects in AI data centers within fiv...
Agentic AI is rapidly evolving from a niche concept into a central force shaping AI infrastructure, cloud platforms, and enterprise workflows. Key players like NVIDIA, Microsoft, and Salesforce are dr...
Agentic AI systems require infrastructure innovations that integrate power efficiency, cooling, semiconductor design, and network architecture. Advances such as precision liquid cooling, compute-in-me...
April 2026 marks a pivotal moment for agentic AI as massive compute deals, collaborative chip supply chains, and innovative networking models reshape the AI infrastructure landscape. Key players like ...
Power infrastructure is emerging as a critical bottleneck in scaling AI data centers. Beyond GPUs and cooling, challenges around energy delivery, storage, and innovative cooling methods are reshaping ...
Agentic AI, characterized by autonomous decision-making and complex task execution, is driving a fundamental shift in AI infrastructure. This analysis explores how the demands of agentic AI are prompt...
In 2026, AI infrastructure is being reshaped by the rapid expansion of agentic AI, constrained semiconductor foundry capacity, and innovative energy solutions such as advanced liquid cooling and nucle...