Google has joined the Agent Plugins platform, enabling AI agents to run on edge devices without cloud or GPU reliance. Alongside Liquid AI’s new LFM2.5-2.6B model optimized for low-power hardware like the Raspberry Pi, this initiative advances decentralized AI deployment for offline and portable app...
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...
The world’s largest technology companies are embarking on an unprecedented infrastructure spending spree, committing between $660 billion and $690 billion to artificial intelligence data centers...
This editorial examines Oracle's strategic emphasis on communication technologies as an integral part of AI infrastructure, highlighting the urgent need for industry-wide investment and collaboration....
In a marked retreat from a landmark $100 billion commitment announced just five months ago, NVIDIA is close to finalizing a significantly smaller $30 billion investment in OpenAI as part of the ChatGP...
The partnership between SharonAI and World Wide Technology (WWT) represents a strategic leap in AI infrastructure, addressing both immediate technological needs and positioning the companies for futur...
The graphics card market has undergone a dramatic transformation over the past four months, with global GPU prices jumping an average of 15% since November 2025. The price surge, documented in compreh...
The rapid growth of AI workloads is driving transformative innovations in data center infrastructure. Advances in liquid cooling, power delivery, bandwidth optimization, and decentralized training are...
This editorial discusses the urgent need for robust AI infrastructure in the public sector, outlining the current state of AI adoption and the implications of inadequate infrastructure. It provides co...
NVIDIA GTC 2026: Jensen Teases Mystery Chip Ahead of March Keynote NVIDIA CEO Jensen Huang has promised a chip reveal that will surprise the world at GTC 2026, scheduled for March 16-19 in San Jose. T...
The article emphasizes the urgent need for robust AI infrastructure to support the rapid advancement of artificial intelligence technologies. Highlighting recent developments and the challenges posed ...
Model Distillation Revolution: The Economics of Smaller AI Model distillation—training smaller models from larger ones—has emerged as a critical technique for making AI economically viable at scale. T...