TL;DR AI Workloads are Driving Unprecedented Power Densities: The massive compute demand from artificial intelligence is pushing rack densities to extreme new highs, forcing an
Category: Data Center
When “Save Our City” Meets the AI Data Center: How Responsible Developers Earn Community Trust
TL;DR Transparency Builds Trust: While hyperscale AI data centers often face local pushback over resource usage, developers can earn community trust through responsible, transparent planning
Investments back two-phase cooling as water cold plate successor
Direct liquid cooling (DLC) has attracted significant investment over the past two years, driven largely by the massive buildout of dense AI training clusters. In
Data Center Security Enhanced with DataGuard™: The Disruption and Automation of Security Operations Centers (SOCs)
TL;DR Shift to Edge Automation: Data centers are moving away from inefficient, manually monitored Security Operations Centers (SOCs) toward automated, decentralized security located directly at
US data center critics pivot from moratoria to regulations
In April 2026, the US state of Maine’s governor vetoed a state-level data center moratorium bill, the latest in a series of similar regulatory actions
The State of DCIM and the Gartner Hype Cycle
TL;DR The True Data Center Bottleneck: While power and space often dominate the conversation, the real strategic obstacle facing operators is a severe lack of
Six Pressures, One Blind Spot: A PESTLE View of the Data Center
TL;DR The True Data Center Bottleneck: While power and space often dominate the conversation, the real strategic obstacle facing operators is a severe lack of
Don’t Waste The Waste Heat Opportunity
TL;DR The Huge Potential of Waste Heat: Liquid-cooled AI data centers generate massive amounts of heat that, instead of being uselessly vented into the atmosphere,
Why A Half-Degree Error is Quietly Costing Data Centers Millions
TL;DR The Dominance of Air Cooling: Despite the growing adoption of liquid cooling, approximately 80% of data centers worldwide still rely on air as their
Predictive Coolant Health: The Missing Reliability Layer in AI Data Centers
TL;DR The Blind Spot of Standard Monitoring: Traditional infrastructure management relies on temperature and flow rates to confirm circulation, which completely misses the internal chemical