Scale Microgrids

The data centers driving AI use massive amounts of electricity. But a new partnership among power companies aims to use AI for a cleaner, more reliable grid.

Comino Grando Server delivers extreme GPU performance for deep learning tasks High-speed Micron DDR5 memory powers AI, research, and rendering workloads Optimized for air-cooled and water-cooled environments,

The integration of AI-driven monitoring systems in EV charging networks holds promising implications for sustainability and efficiency. By optimizing energy distribution and charging station management,

Texas's power grid faces immense pressure from the rapid expansion of AI data centers, with demand projected to increase so significantly that the equivalent of 30 nuclear power plants would be needed by 2030.

Localized intelligence will reshape energy operations, enabling edge-based generative artificial intelligence (AI) models to deliver precision, agility, and control at every layer of power operations.

NAES, America's largest independent power operator with 65GW under management, and Gecko, the company pioneering the development of AI-driven platforms using robotics, have announced a strategic partnership aimed at transforming the reliability and operational efficiency of American power production following President Trump's declaration of a national energy emergency on January 20th.

This Research Topic explores the integration of large language models (LLMs) with edge computing to optimize generative AI for resource-constrained Internet

In this TechRepublic exclusive, an IBM VP explains how small language models are a boon for companies of all sizes, enabling them to overcome resource and budget constraints to tap into the business value of AI.