Intel CEO Pat Gelsinger criticized the inefficiency of GPUs in AI infrastructure at the 2026 Global AI Infrastructure Summit, highlighting rising power consumption and performance limits amid growing AI workloads. His remarks have sparked discussion on the need for more energy-efficient computing so...
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...
Seatrium has announced a 30MW offshore data center pilot integrating GPU computing with renewable energy and maritime engineering. The project aims to test the viability of offshore platforms to suppo...
Axe Compute announced a $1.5 billion deal on July 28, 2026, to expand its AI infrastructure with new data centers and advanced hardware, aiming to support trillion-parameter AI models. The investment ...
Nvidia announced a $5 billion investment in March 2026 to expand GPU compute capacity for safe superintelligence research through a partnership with Ilya Sutskever’s AI lab. The initiative includes de...
NVIDIA’s open-sourcing of the Molt framework, Anthropic’s Claude AI encryption breakthroughs, and Alphabet’s cloud growth highlight the rapid evolution of AI infrastructure. These trends reveal the gr...
AI’s growing compute demands are pushing the industry to rethink energy strategies. Nuclear power, modular data centers, and private equity investment are converging to address the energy challenges o...
Energy Vault has started building a new AI campus in Snyder, Texas, designed around Crusoe Cloud’s modular Spark data centers and integrated with Energy Vault's gravity-based energy storage technology...
Meta's recent decision to abandon its RE100 renewable energy pledge in favor of supporting gas-fired power plants reveals a critical tension in the AI industry: the urgent need for reliable, affordabl...
Meta’s recent withdrawal from the RE100 renewable energy initiative, coupled with its backing of new gas-fired power plants, exposes a critical sustainability crisis within the AI industry. This opini...
Meta’s decision to leave the RE100 renewable energy pledge and support new gas-fired power plants exposes the gap between AI’s soaring energy demands and current renewable capacity. This candid move c...
Meta’s decision to exit the RE100 renewable energy commitment and invest in gas-fired power plants highlights the challenging trade-offs in powering AI sustainably. This opinion piece argues that whil...