As AI’s role in business and society continues to grow, the infrastructure that supports these workloads must adapt.

Compute, power, cooling, and floor space are all being squeezed, and technology leaders must rethink the data center from the silicon upwards.

Nvidia, AMD, and TSMC are all seeing tremendous growth thanks to the boom in AI infrastructure spending. Palantir's ...

The result is a new kind of supercomputer — a collection of up to 100,000 chips wired together in buildings known as data centers to hammer away at making powerful A.I ... GPU parallel processing.

Lenovo’s third new AI system is likewise based on its SR675 server series. It’s optimized to run IBM Corp.’s watsonx software ...

The work centers around Applied’s 400 MW campus in North Dakota, where both firms will develop energy-efficient power systems, said ABB.

Meeting the demands of parallel processing requires higher computing power and rack density. Presently, data centers operate at a power density of around 8 -10kW per rack, but this is expected to soar ...

Keysight AI (KAI) Data Center Builder is an advanced software suite that emulates real-world workloads to evaluate how new algorithms, components, and protocols impact the performance of AI training.