Traditional data center questions are now about choosing the right AI region

And why it can be a very useful tool for sustainability

And why the infrastructure needs to satisfy Alberta's regulatory requirements

The white space at the heart of a data center is where the competing demands of rapidly increasing capacity within a finite space are in the sharpest focus

The growing need to future-proof infrastructure

Data centers cannot afford to treat communities as an afterthought

Water has become one of the newest variables in data center planning – and one of the most regulated

And why there are other options out there

Building the infrastructure of tomorrow requires an entirely new approach that moves far away from bespoke, piecemeal solutions

Reliable network connectivity is an AI enabler

Increasing densities, equipment varieties, and services have led to complexity challenges. What the market needs is integrated solutions from a provider that can support the AI wave at every step

The question may not be whether cooling infrastructure can operate on 800VDC. It’s whether the supplier ecosystem can evolve quickly enough to support that future

And why an over-reliance on FLAPD is not good for Europe's data center future

Who knew Doc Brown and Marty McFly would be helping us build AI data centers?

The new risk profile of digital infrastructure and a framework for the future

Will the structure of the supply chain supporting fiber optic cable provide headaches for data center operators?

The companies that succeed in the AI era will be the ones that solve the infrastructure challenge at every layer between the grid and the rack

Reconciliation is the key

AI demand has made 18–24 month build timelines unsustainable, is modular the answer?

Designing for adaptability is not simply about preparing for uncertainty. It's about building power infrastructure that remains resilient, efficient, and sustainable throughout its entire lifecycle

Insights for owners to navigate power quality, cooling, and backup energy in the age of inference

The differences between power-dense training and low-latency distributed inference show why the AI era calls for workload-led UPS battery selection

Winning the liquid cooling race requires a cultural shift – treating cold plate development as an evolving, continuous platform

Fiber no longer functions as a passive backbone interconnecting largely uniform compute systems. Optical infrastructure now operates as an active architectural layer carrying multiple workload classes with distinct operational characteristics

Liquid cooling offers the performance and efficiency needed to manage the intense heat of GPU-driven workloads, reducing energy use while improving reliability

And why grid capacity must be assessed carefully to support data center developments

Modular data centers represent more than a construction technique – they are a delivery model designed for the realities of modern digital infrastructure

The smartest strategy isn’t choosing one approach over the other indefinitely, but aligning cooling decisions with current workload demands while maintaining flexibility