Digital Realty Buys Blackstone’s Data Center Stakes for $3.5B
Digital Realty is acquiring Blackstone-managed ownership interests in three Northern Virginia hyperscale facilities, gaining full control of 288 MW of fully leased, AI-ready capacity.
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AWS Launches Graviton5-Powered EC2 Instances for AI and HPC Workloads
Amazon has made its C9g and C9gd instances generally available, bringing Graviton5's Arm-based performance gains to AI orchestration, high-performance computing, and analytics workloads.
AI Data Centers Are Driving a Premium for Existing Power Plants
Permitting delays and interconnection backlogs are pushing utilities and investors to acquire operating power plants rather than build new ones, as AI-driven electricity demand accelerates.
Search-Replace in WordPress Without Corrupting Serialized Data
Raw SQL replaces can silently break widgets, theme settings, and page builder content because WordPress stores structured data as serialized strings. Here is how to migrate URLs and text safely with wp-cli.
Cloudflare Launches Attribution Business Insights for AI Crawler Traffic
Cloudflare has released a new dashboard giving publishers granular data on AI crawler behavior, including crawl-to-referral ratios that expose just how extractive bot traffic has become.
Why Chat Is Not the Right Interface for Every AI Feature
Defaulting every AI capability to a chat box creates real usability problems. A structured approach to matching input and output modality to user intent produces better results.
Texas Tests Curtailment Rules for AI Campuses Behind Wind Farms
A dispute over a 260 MW AI data center expansion in Armstrong County is shaping how Texas regulators apply new colocation rules to behind-the-meter loads sharing an existing grid interconnection.
NERC Warns AI Data Centers Now Pose Real Risks to Grid Stability
Gigawatt-scale load drops at hyperscale AI campuses triggered multiple grid disturbances in 2025, prompting NERC to issue new modeling guidance and push for a dedicated regulatory category for computational loads.
Why the Network Switch Is the Bottleneck Holding AI Infrastructure Back
AI training clusters are leaving Nvidia H100 chips idle more than half the time because switching fabrics cannot keep pace with compute demands. Here is what the industry needs to change.