AI is surging. Quantum is maturing. Data centers have moved from back-end utilities to frontline strategic infrastructure.

AI workloads have fundamentally transformed data center communication requirements, introducing unprecedented demands for ...

For far too long, data center design has been shrouded in an aura of complexity. Many perceive it as an overwhelming process requiring intricate expertise, but in my view, this perception is outdated.

Future data centers will increasingly move away from massive centralized facilities alone, embracing smaller, modular, and edge-based data centers. The sector is already splitting out in hyperscale ...

Liquid cooling is essential for AI data centers—but deploying it at scale requires advanced design, smart vendors and ...

Phillip Marangella explains how his company is rethinking the data center as a flexible AI-ready backplane: built fast, built ...

Whether it is a hyperscaler or enterprise endeavor, powering a data center is proving to be much more challenging than building one.

On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an ...

KAI Data Center Builder’s workload emulation capability integrates large language model (LLM) and other artificial intelligence (AI) model training workloads into the design and validation of AI ...

Huang emphasized Nvidia’s growing prowess at data-center design following an earnings report Wednesday that exceeded Wall Street forecasts.

The Keysight Artificial Intelligence architecture includes the newly announced KAI Data Center Builder and features four portfolio suites that address all aspects of AI data center design, from ...