Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

Data center digital twins are transforming data center design from assumption-based planning to physics-backed simulation—well before the first rack is deployed. By combining physics simulations with ...

The rapid expansion of AI workloads is forcing a fundamental rethink of data center design, power systems, and financing discipline, as operators confront rising density, environmental scrutiny, and ...

The shift from model training to real-time inference, driven by open-source agent applications, is reshaping global data center design and supplier dynamics, with implications for cloud providers and ...