Sponsored The circulatory system of the AI factory: Why ‘flush and fill’ is no longer enough
The path toward adaptive, resilient liquid cooling
The path toward adaptive, resilient liquid cooling
As 6G, satellites, sovereignty, plus more drive the conversations in Barcelona
As AI workloads move from experimental to mission-critical, the infrastructure supporting them must evolve with equal seriousness – across power, cooling, sustainability, and water
In mission-critical infrastructure, redundancy protects hardware. Lifecycle continuity protects performance. When speed outpaces structure, risk becomes cumulative
As data center construction continues to scale, prefabrication success will depend not only on what is built, but on how confidently it can be moved
Don’t worry, it’s mostly a joke
Delivering future-ready digital infrastructure requires intense focus, system-level integration, and ecosystem collaboration
In gigawatt AI infrastructure, reliability is not achieved through priority language. It is achieved through molecules physically secured, stored, and controlled at the point of use
In modern data centers cooling is a primary determinant of cost, scalability, and competitive advantage
But it's imperative to implement speed, supply, sustainability, and security
Aisle containment is no longer a static wall – but an intelligent asset that actively drives efficiency forward
For AI data centers, services are no longer an afterthought. They are the mainstay that keeps power and cooling architectures aligned with the digital services they are intended to deliver
AI will play a vital role for telcos in the future, but governance is essential
Listen to what the market is telling you and let what you see be your guide
Construction projects are notoriously complex and without proper oversight and coordination, risks can quickly become real issues – impacting both timeline and budgets
When labor is constrained, modularization is how you scale
Optical connectivity should be treated as a first-order design pillar alongside power and cooling. It must be tailored to the workload, the topology, the operational model, and the deployment cadence
The question is no longer whether the industry must move beyond air, but how quickly organizations transition from incremental cooling fixes to holistic thermal management by design
When flexibility is treated as a foundational design principle rather than an afterthought, it becomes a source of resilience
The case for micro-augmentation in an age of agentic AI
Architecting for real-time intelligence
The key ingredients for mitigating the escalated risks associated with liquid cooling
Adding liquid cooling to your existing data center can be complicated, but when done successfully, it effectively cools hotter workloads and keeps critical infrastructure running at peak uptime and efficiency
The choice is clear: converge and optimize, or remain siloed and inefficient