The next shift in AI infrastructure

A failure to scale could hurt data center operators

Oracle Cloud Infrastructure is discovering itself

Manual processes are harder to scale when designs change quickly, and tolerances are tight

Energy flexibility must be weighed as a critical consideration

And why there's constraints to overcome in order to meet AI workload demands

Data centers are the last heavy industry still built by hand. It's time to move them into the factory

In the AI era, competitive advantage will come not from offering unlimited choice, but from knowing which choices matter

As demands for AI continue to shift, so does the planning for the data centers expected to support this growth

As AI matures and scales, organizations must decide: Where will these high-density workloads run?

Why thermal lag in CDU control systems is an unaccounted-for reliability risk

And why it can be a very useful tool for sustainability

Separates companies getting real value from AI from those stuck running pilots in perpetuity

Data centers in space shift from concept to early operational demonstrations

Is Global Reference Design the answer to support this standardization?

Identifying which liquid cooling architecture to design for

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

As data center power density climbs, successful infrastructure planning depends on understanding how power availability, cooling strategy, and deployment timelines influence one another

In addition to protecting critical infrastructure, AI-ready UPSs also help optimize AI investments, enhance operational resilience, and mitigate the impact of large-scale AI workloads on the electric grid

… it's facing a convergence

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

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

The time has come for the data center industry to agree upon a new efficiency metric, one that is both intuitive and informative

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

The importance of innovation, investment in infrastructure, and global engagement

And what agentic AI can fix

But first, it's about aligning power, permits, and people to achieve these goals

Built with scalability and flexibility at the core, AI pods enable operators to expand capacity as technology evolves – without rearchitecting their facilities