Showing 81–100 of 206 articles in data-centres
Nvidia and IREN are targeting up to 5 GW of AI infrastructure deployment, with the Sweetwater, Texas, campus positioned as a flagship site for Nvidia’s DSX AI factory architecture.
The winner of DataVita’s OpenClaw Challenge will receive a permanent AI data center role and £35,000 starting salary.
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.
Underground facilities promise physical and efficient cooling, but operators face unique engineering and logistic challenge.
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.
Federal data centers require both facility-level certifications and separate government authorization for each system or service that runs inside them.
Strong EPYC and Instinct chip demand pushed revenue to $10.3 billion as inference workloads expanded AI infrastructure spending.
The company’s new high-radix switch targets rising coordination overhead as stateful, stop-and-start AI workloads expose limits in traditional GPU clusters.
The $625 million deal adds Kubernetes and enterprise ops to help turn deployed GPUs into usable, revenue-generating AI infrastructure.
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.
We look at some of the latest data center developments announced over the past month.
IBM is betting that the next phase of enterprise AI will be defined less by models and infrastructure and more by the software layer that connects them.
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.
Amazon, Google, and Meta join Microsoft in signaling a shift: growth is now tied to power, chips, and unprecedented capital spending.
The reported Google-Anthropic deal pairs capital with a 5 GW compute commitment, shifting how AI infrastructure is financed and allocated.