AI Data Centers

AI data centers are the physical facilities built to house the specialized hardware and networking required to train and run machine learning models. Truncated covers facility design, power sourcing, cooling technologies, infrastructure investments and regional development.

Friday 6 November

Crusoe Hands Google a Pre-Developed Wyoming AI Data Center Site

AI-generated summary Crusoe announced on November 6, 2026 that Google acquired its data-center site in southeast Wyoming after completing pre-development work including site selection and a hybrid power strategy. Chief executive Chase Lochmiller stated that Crusoe has more than 6 gigawatts contracted and over 40 gigawatts in its broader pipeline.

Also covered by news.bloomberglaw.com bloomberg.com TNW | Google

Why Spending Millions on AI Hardware Isn’t Giving Your Company the Performance You Expect

AI-generated summary Businesses investing heavily in artificial intelligence hardware often fail to receive expected performance due to thermal throttling, cooling component deterioration, and power limitations. TechRadar reported that artificial intelligence data centers use only about 60 percent of consumed power for actual work while failures and restarts account for approximately 10 percent.

Prompt: AI's next bottleneck is outside the data center

AI-generated summary The artificial intelligence industry faces growing infrastructure challenges as power shortages, environmental hurdles, and local opposition complicate the expansion of new data centers. While xAI faces a Clean Air Act lawsuit over gas turbines in Mississippi used to power a Tennessee data center, OpenAI is pursuing a power-flexibility initiative in Georgia.

Also covered by bloomberg.com