As I mentioned in the first article in this series, System Design For The AI Era: AI Data Centers Requires A Holistic Approach, data centers are the heart of the AI era. However, the exponential ...

Technical deficiencies - poor direct-to-chip liquid cooling systems, misuse of glycol, and flawed industry guidance – ...

However, as ASIC and SoC clock receivers become increasingly customized, these fixed-amplitude standards no longer provide an optimal balance between power consumption, noise performance, and signal ...

Why it matters: Operating data centers requires a lot of energy, and the enormous amount of water used to cool them is a growing environmental concern. As the expansion of AI data centers exacerbates ...

As the industry looks toward 2026, data center architects and system designers face a convergence of pressures that make storage design more critical than ever. AI workloads continue to drive ...

Data centers and high-performance computing (HPC) are the primary enablers of today’s power-hungry AI-driven technology, but chip designers, EDA vendors, and the data centers themselves have a long ...

Consulting engineers have always had to deliver services far beyond design, but today’s data-driven projects are giving firms such as WSP/Power Engineers and Jacobs fresh opportunities to turn client ...

When synthetic data and digital twins are combined, the result is a technological synergy that unlocks design potential, accelerates prototyping and expands the limits of creativity. In the field of ...

Unlike conventional structures, the entirety of the building—apart from glass-framed cutouts along its frontage—will be windowless. This programmatic requirement enhances security for the data suite ...