Big data centers use a huge amount of electricity. But that's changing. Someday soon, we won't have to pay higher electricity prices because artificial intelligence is hogging our power.

An AI-powered organization needs considerable rack power, facility power, floor space, and cooling capacity to support a data ...

Space-based data centers are being explored as one potential approach to addressing challenges related to AI infrastructure, ...

Second consecutive top ranking arrives alongside cross-platform conversation capture, fully local AI processing, and EU data ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

Big tech and startups are developing orbital data centers to process AI-driven data in space, reducing latency and energy use ...

Lalit Ahuja is the Chief Technology Officer at GridGain Systems & a frequent speaker on AI-ready data and enterprise architecture patterns. Extracting intelligence requires both access to information ...

Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...