The operator’s data center buildout in Oklahoma, paired with a new 1.5 GW plan in Texas, positions the company to deliver roughly 3 GW of AI and high-density colocation capacity.

AI’s power demands are reshaping data centers, but without robust optical connectivity, these mega facilities risk becoming isolated islands, writes Sterling Perrin.

OpenAI’s MRC protocol aims to address congestion and failure challenges in massive AI clusters as hyperscalers scale to hundreds of thousands of GPUs.

HPE rolls out autonomous networking features that act on issues in real time, but enterprise adoption hinges on trust, guardrails, and risk tolerance.

The company’s new high-radix switch targets rising coordination overhead as stateful, stop-and-start AI workloads expose limits in traditional GPU clusters.

New energy partnerships highlight a widening gap between near-term data center demand and the pace of grid expansion.

A Cast AI report finds low GPU, CPU, and memory utilization across enterprise Kubernetes clusters.

The choice of humidification system – whether isothermal, ultrasonic, high-pressure nozzle, or adiabatic – depends primarily on the facility's humidity gap and available power budget.

Rising demand for electrical equipment drives supply growth, but hyperscale construction accelerates and infrastructure challenges persist.

Proposed legislation shifts the burden of power, water, and grid expansion costs onto large data centers, challenging long-standing incentive models and reshaping site selection strategies.