Data centers have been around for decades, but AI means we need more of them than ever. Here's why.

At Rising this week, Workday Data Cloud opened the System of Record directly to AI agents, with no extracts, no duplicate ...

Data center growth is reshaping how utilities and grid operators plan, forecast, and procure power, often faster than legacy ...

Aleph Alpha’s Kolibri-1 is a new AI model optimized for German texts that also reasons in German. iX put it to the test.

Recent technological shifts mean your team must process vast datasets and execute real-time graphics locally. Relying ...

You use Excel every day, yet for some reason, your work never seems to end.- Sorting data takes too much time- You struggle ...

Enverus Intelligence Research forecasts 25.5 GW of new U.S. industrial demand will be served behind the meter through 2030 — ...

Shift from AI training to real-time inference requires distributed, CPU-heavy infrastructure to handle agentic workloads.

Researchers have introduced Sparcent, a technique that uses learned sparse retrieval to accelerate the query-centroid ...

Agentic workloads increase CPU demand, while reasoning models, MoE architectures, and reservoir computing fuel AI acceleration.

As a follow-on from last week’s post about the new ApproximateDistinctCount function in DAX, I want to share something I found out from my recent testing for this function: ApproximateDistinctCount is ...