The company is forging ahead with new data center commitments as part of its $10 billion expansion plan to support growing demand for AI and high-density compute infrastructure.

The main bottleneck for the data center investment boom isn’t capital, land, or energy. It’s labor.

Mixed-density data halls demand cooling strategies grounded in workloads, facility constraints, and the teams on the floor.

The companies say combining specialized inference accelerators with GPUs could deliver major speed and power efficiency gains for frontier AI workloads.

The companies are deploying the Karman AI power platform to tap unused electrical headroom and expand AI compute inside existing facilities.

To meet the world’s soaring computer needs, data centers must break free from outdated construction models, writes Aveva’s Gary Wong.

Amazon has urged the FCC to deny SpaceX’s plan to build orbital data centers comprising up to one million satellites, arguing that it's ‘wholly unrealistic’.

While still in the research phase, ICN principles can guide data centers in improving verification, replication, and edge hosting to enhance scalability and performance.

The ongoing memory chip shortage, driven by surging AI demand, has exposed the inefficiencies of unstructured data management, forcing enterprises to confront the rising costs of storing redundant, obsolete, and trivial data.

The IT infrastructure giant posted stronger-than-expected Q1 results, showcasing gains from its blockbuster Juniper acquisition.