The explosion of AI workloads is redrawing the data center blueprint in real time. Models are larger, compute clusters are denser, and the pressure to deliver consistent performance is relentless.

Global power demand from data centers will increase 50% by 2027 and by as much as 165% by 2030, according to Goldman Sachs Research. This means that rack densities will need to increase, and as a ...

Celestica has transformed into a design-centric platform integrator, occupying key control points in AI data center infrastructure and rack-scale integration. CLS benefits from surging hyperscaler ...

The race to deploy AI infrastructure is a defining technological challenge of the moment. Data center designers and operators are balancing competing priorities as they manage long-term data center ...

Posts from this topic will be added to your daily email digest and your homepage feed. Old data centers physically cannot support rows and rows of GPUs, which is one reason for the massive AI data ...

The power architecture used in HPC and AI data centers today is about to undergo a significant change in an effort to boost power efficiency. While voltages at the chip level will remain the same, the ...