Tassos Peppas, Regional Director for the Middle East, Turkey and Central Asia at Vertiv, discusses how AI is driving the convergence of critical infrastructure, the growing importance of integrated architectures, cybersecurity and digital twins, and how modular, industrialised deployments are helping organisations accelerate AI infrastructure rollouts while maintaining resilience and operational efficiency.
How is the rise of AI workloads changing the design and architecture of modern data centers?
AI is reshaping data center design at a fundamental level. Rising rack densities exceeding 60kW per rack mean that power, cooling, controls and IT can no longer be planned separately. They must be engineered as one system from the outset. Vertiv 360AI reflects this approach by bringing together power, thermal management, liquid cooling and integrated rack infrastructure in validated designs for AI deployments. This helps customers address the full infrastructure challenge rather than selecting individual components in isolation. The priority is delivering an architecture that performs reliably today while remaining flexible enough to support changing rack densities and compute requirements.
What are the biggest challenges in scaling infrastructure to support high-density AI compute environments?
Scaling AI infrastructure is not simply a matter of adding more equipment. As density increases, so does the demand for power, cooling and integration, often beyond what existing facilities were designed to support. In the Middle East, where deployment timelines are accelerating, operators need infrastructure that can grow in defined increments without redesigning the facility each time. Vertiv OneCore supports this through an industrialized, repeatable architecture that allows operators to scale from initial deployments to larger configurations while maintaining consistency across power, cooling and controls.
How are power and cooling requirements evolving with AI-driven infrastructure?
AI is forcing power, cooling and networking to evolve together. Power architecture must support larger, more dynamic loads, which affects UPS systems, switchgear and power distribution architectures. Cooling is moving toward hybrid designs incorporating technologies such as Vertiv CoolChip CDUs (coolant distribution units) and other liquid-cooling technologies. Networking must provide greater bandwidth and lower latency, but it also influences rack layouts, cabling and heat concentration. A decision in one area can quickly affect the others, which is why integrated design has become essential for reliable AI deployment.
Where do you see the convergence between physical infrastructure management and cybersecurity today?
The convergence is already happening. Power, cooling, monitoring and control systems are increasingly integrated with broader IT and operational technology environments. That connectivity delivers real operational value through visibility, automation, and remote management, but it also means physical infrastructure carries the same security considerations as any IT asset. Across the Middle East, where digital infrastructure is scaling rapidly, operators are increasingly recognizing that cybersecurity and infrastructure management must be closely aligned. At Vertiv, we design our monitoring and controls systems with this reality in mind, because resilient infrastructure depends on both physical and digital reliability.
What new security risks emerge as data centers become more software-defined and AI-orchestrated?
Every power system, cooling controller, and monitoring platform in a modern data center is now networked. While this connectivity delivers operational value, it also increases the potential for impact of disruptions. From a critical infrastructure perspective, the priority is supporting power, cooling, and controls to continue to operate reliably even when other layers are compromised. Vertiv designs its infrastructure management and controls to support resilience at the physical layer, helping operators maintain reliable conditions for their operations.
How important is real-time simulation or digital twin technology in planning and managing AI infrastructure?
High-density AI environments leave very little room for design errors, and that is where digital twin technology is becoming increasingly valuable. It allows teams to test power configurations, cooling performance, and failure scenarios before committing to physical builds. Our collaboration with NVIDIA on the Omniverse DSX Blueprint for AI factory digital twins is a good example, where we contribute simulation-ready power and cooling models that help customers validate designs digitally. The real differentiator is having actual, deployable infrastructure represented in the simulation, not just theoretical models.
7. How are vendors adapting to the need for faster deployment cycles in AI infrastructure environments?
The industry is moving from component-by-component construction towards converged, industrialized infrastructure. Vertiv OneCore reflects this shift by bringing power, thermal management and IT infrastructure together in integrated systems that can be assembled and tested off-site. This allows manufacturing and site preparation to progress in parallel, while reducing installation complexity and rework. Accelerated deployment still requires strong engineering discipline. It depends on earlier decisions, clearly defined interfaces and repeatable designs that can be adapted to each site, supported by experienced commissioning, maintenance and lifecycle services.
