From AI to cloud computing, data centers power today's digital world. Learn about their function and why companies are racing ...

Duos Edge AI, Inc., a subsidiary of Duos Technologies Group, Inc. (“Duos” or the “Company”) (Nasdaq: DUOT), today announced it has executed a Master Services Agreement with Nistar (“Nistar”), a ...

An Iowa company is adamant its proposed data center won't house large AI servers as Ames continues to consider its pitch. Des Moines-based Lightedge is interested in building a 100,000-square-foot ...

LM Funding America, Inc. LMFA announced Tuesday it is expanding into high-performance computing and AI infrastructure with the purchase of its first AI GPU server hardware for deployment at its ...

Cleveland has rejected — for now — a 150-megawatt data center in the Slavic Village neighborhood, and City Council is considering a moratorium on new data centers. That doesn’t mean the city is data ...

Google states that there’s no workaround for the situation as of now. Google Cloud customers are witnessing a network disruption across several major Indian cities, and the reason behind this is a ...

Investorideas.com (www.investorideas.com newswire) a trusted platform for investing ideas including tech stocks reports on global data center power consumption and AI-driven infrastructure growth.

The backlash against large data center projects raises a new question. Could part of the next infrastructure wave use private homes rather than purpose-built facilities? As CNBC recently reported, ...

HostColor.com (HC) has announced new data center locations in the U.S., Europe, Asia, and South America to deliver RDP servers and remote desktop hosting services. New York, New York, May 13, 2026 ...

Abstract: Even though demand response of data centers has attracted many studies, there are very limited attempts on an important segment: colocation datacenters. Unlike large-scale (Google-type) ...

Between 2026 and 2030, adoption of AI datacenter liquid cooling systems is expected to accelerate rapidly as hyperscalers and AI infrastructure providers scale GPU-intensive AI training environments.