The rapid growth of artificial intelligence is leading to changes in data center electrical systems. Modern AI training clusters now require 50 kW to 100 kW per rack. Traditional AC-based power ...

AIDA™ brings autonomous AI to enterprise datacenters, enabling predictive monitoring, automated remediation, and ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

The launch of three new products addresses critical supply chain bottlenecks and enables rapid deployment of data ...

In the modern AI datacenter – really, a data galaxy at this point because AI processing needs have broken well beyond the bounds of a single datacenter or even multiple datacenters in a region in a ...

The rapid expansion of artificial intelligence is pushing power infrastructure to its limits. Training and running large-scale AI models requires massive compute clusters that consume enormous amounts ...

The company plans to build and pay for dedicated energy infrastructure to reduce the risk of AI data centers straining local grids and slowing expansion. OpenAI is moving to blunt one of the ...

In the golden hills of Puglia, a southern region of Italy known today for its olive trees, white cliffs and turquoise mediterranean coves, Lorenzo Avello has artificial intelligence on his mind.

AI infrastructure is scaling fast, and its need for energy has moved firmly into the spotlight. News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy ...

As the industry looks toward 2026, data center architects and system designers face a convergence of pressures that make storage design more critical than ever. AI workloads continue to drive ...