Tag: AIInfrastructure

Artificial Intelligence (AI) infrastructure has arrived, and with it comes a new reality. Power-hungry chips like NVIDIA’s Blackwell have pushed traditional air cooling beyond its limits. Indeed, rack densities are rising from 20 kW to more than 140 kW. The 1 MW milestone is also approaching. As a result, the industry is now moving into the liquid cooling deployment phase for AI workloads.

Licensing models and costs have changed significantly over the past year. As a result, companies now face an expensive crossroads if they fail to modernise and manage licensing effectively. In many cases, the licensing problem arises when organisations delay strategic updates to their environments. At the same time, several pressures continue to shape this landscape.

The Artificial Intelligence (AI) disruptions of the past few years have only been the prologue to what is coming in 2026: AI’s full integration into data centre processes and builds. It is a moment we have been building towards since OpenAI’s ChatGPT brought Artificial Intelligence into the mainstream in late 2022. That launch sent shockwaves through academia, mental health care and every type and size of business.

Across the Central and Eastern Europe, Middle East, Turkey and Africa (CEEMETA) region, the pace of Artificial Intelligence (AI) adoption has shifted from steady to rapid. What felt ambitious a year ago is now baseline. Boards expect measurable returns. Operations expect automation. Customers expect intelligence at every touch point. This is AI at full throttle.

In 2023, we witnessed the Big Bang of technology. That year, Artificial Intelligence (AI) ignited a new era of innovation and transformation. In 2025, GenAI went mainstream, and agentic AI entered the scene. Most importantly, real return on investment began to emerge in major enterprises. These milestones confirm that the AI revolution continues to reshape how organisations create value. In 2026, the AI story accelerates further.