The push for AI growth in America has exposed two big problems: keeping power flowing and getting the right gear fast enough. New AI data centers need so much electricity and special parts that builders can’t keep up. This slowdown threatens the big tech plans that depend on these facilities. One s
Marvell Technology’s stock surged 8. 85% to $286. 80 in premarket trading, outpacing the broader market. While Nasdaq futures rose 1. 31% and S&P 500 futures climbed 0. 68%, tech stocks generally benefited from the upward trend. The smaller Russell 2000 and Dow Jones also saw gains, adding to the po
In the current surge of artificial intelligence, companies are pouring billions into building the hardware that powers it. The people steering these budgets are often women, a fact that raises questions about gender roles in tech leadership. These finance chiefs do more than approve numbers; they
In Utah’s quiet Hansel Valley, a single project is forcing the country to face the messy reality of AI. Spread across 40, 000 acres—an area bigger than many cities—the proposed Stratos AI campus isn’t just a collection of servers. It’s a power-guzzling monster that could drain more electricity than
The company just revealed its first-quarter numbers for 2026, and they’re eye-catching. Revenue hit $2. 08 billion, beating forecasts that expected $1. 97 billion. That’s more than double the $981. 8 million it made in the same period last year. But here’s the catch: even as money comes in fast, the
Hut 8, a Miami company, plans a $12 billion AI data center in St. Francisville, West Feliciana Parish. To fund the first phase, it is selling $3. 25 billion in bonds through its subsidiary Hut 8 DC LLC. The bonds carry a 6. 192% annual rate and will mature in 2042, closing the offer this Thurs
A recent study by a leading real‑estate firm says that the current wave of artificial intelligence (AI) development might surpass the scale of railroad expansion in the 1850s. The research points to a projected $3. 7 trillion investment by major tech giants—Google, Amazon and Microsoft—in AI infrast
Data centers need reliable power for AI tasks like training models. To meet this demand, companies are pairing fast-responding batteries with slower natural gas generators. This combo helps fill sudden energy gaps that gas plants can't handle alone. Batteries discharge power quickly, protect gas tur
Amazon didn’t start out as a chipmaker, but its push into custom silicon is quietly reshaping how the biggest players in tech handle their most demanding workloads. Instead of relying entirely on Intel, NVIDIA, or AMD, the company took a gamble on building its own chips—and now those chips are power
Big loans for tech projects aren’t new, but a recent $8. 5 billion financing deal for CoreWeave is turning heads for a different reason. Instead of backing risky crypto mining operations, this loan focuses on building AI data centers packed with powerful GPUs. The shift shows how lenders are now bet
