Tech Interviews
Vertiv Outlines Data Center Evolution and AI Infrastructure Strategy
Exclusive Interview with Peter Lambrecht, Vice President Sales, EMEA, Vertiv
What specific challenges do clients face in powering and cooling AI infrastructure, and how did you address these at GITEX this year?
At GITEX this year, the focus on artificial intelligence (AI) was unmistakable. Every booth showcased AI-driven solutions running on GPU-powered servers from leading companies like NVIDIA. However, for AI applications to function effectively, the right infrastructure is essential to power and cool these GPUs, ensuring smooth and efficient performance. For us, this highlights our expertise in AI infrastructure, designed to support these platforms optimally.
One of our key focus areas is liquid cooling, as traditional air cooling in data centers is no longer sufficient. With rack densities now reaching 50, 60, and even up to 132 kilowatts per rack, air cooling alone cannot handle the thermal load. Liquid cooling has become critical, efficiently drawing heat away and directing it elsewhere. This core technology, developed with our partner NVIDIA, supports the deployment of GPUs worldwide, and together we provide, market, and deliver these advanced solutions to our clients.
Cooling, however, is only one part of the equation. The shift to AI also requires a comprehensive approach to power management, as AI workloads significantly alter electricity load patterns. Our solutions are designed to meet these power demands, and we have showcased these capabilities at our booth. We’ve been actively engaging with partners and clients to address these challenges as they implement their AI solutions, ensuring that both cooling and power needs are effectively met.
Can you elaborate on your partnership with NVIDIA and how it has evolved over the years?
Our partnership with NVIDIA has grown significantly over the years, and over the past year, it has reached an unprecedented level of collaboration. Both of our CEOs, Jensen Huang of NVIDIA and Giordano Albertazzi of Vertiv communicate regularly, aligning closely on joint development initiatives. Together, we create environments optimized for NVIDIA’s cutting-edge chips, ensuring they have the necessary infrastructure to operate at peak performance.
In a recent joint announcement, both CEOs unveiled new solutions that integrate NVIDIA GPUs with Vertiv’s advanced infrastructure, designed to maximize efficiency and reliability. This collaboration represents the core strength of our partnership, where we have refined reference designs that allow NVIDIA to deploy their GPUs seamlessly and effectively on a global scale.
What current trends do you see in the data center and critical infrastructure market? With many hyperscalers entering the market, what is your perspective on this development?
The data center market is dominated by Hyperscalers, whether through their direct deployments or co-location facilities—two primary models for quickly scaling data center capacity. These Hyperscalers are making substantial investments in infrastructure, fueling competition in this fast-evolving landscape.
The AI race is fully underway, with industry giants all striving toward the same goal. As their infrastructure partner, we are advancing with them, providing the essential support they need to drive this innovation. At the same time, the growth of the cloud sector remains foundational and continues to expand robustly. What we are seeing now is a dual growth trajectory: traditional cloud business growth compounded by the accelerated demand for AI infrastructure.
Trends in data centers reveal a marked increase in power consumption. A few years ago, a five-megawatt data center was considered significant; soon, however, a five-megawatt capacity will fit within a 10×10-meter room as rack density skyrockets, reducing the need for extensive white space but requiring expanded infrastructure areas. Data centers are scaling up to unprecedented sizes, with discussions now involving capacities of 300-400 megawatts, or even gigawatts. Visualizing a gigawatt-sized facility is challenging, yet that is the direction the industry is moving—toward ultra-dense, compacted facilities where every element is intensified, driving an enormous need for power.
As data centers continue to grow, how do you view the sustainability aspect associated with these large facilities?
Today, nearly everyone has a mobile phone in hand, yet data centers—the backbone of our digital lives—often face criticism despite being indispensable to modern society. Data centers are not disappearing; on the contrary, they are set to expand as the pace of digitalization accelerates globally. Power generation remains, and will continue to be, a critical challenge, particularly in regions where resources are limited.
Currently, we see significant advancements in AI infrastructure across Northern Europe. Countries like Sweden, Finland, and Norway benefit from ample hydropower and renewable energy sources, making them well-suited for sustainable AI development. Meanwhile, the Middle East is experiencing a technology boom, backed by its rich energy resources and favorable conditions for large-scale investment in data centers.
There’s also a rising trend toward on-site power generation, with organizations increasingly considering dedicated power stations and micro-grids that tap into renewable or alternative energy sources. In the U.S., for instance, discussions are underway about small, mobile nuclear reactors to support local power needs. Finding sustainable power solutions has become imperative. A sudden surge in electric vehicle usage, for instance, could stress current power supplies dramatically, underscoring the need for substantial changes in our energy landscape.
What support and services does Vertiv offer to its customers? What types of infrastructure investments is Vertiv making in various parts of the world?
At Vertiv, service is arguably the most critical aspect of what we do. Selling a product is only one phase of its lifecycle; the real value lies in our ability to maintain and support that product for the next 10 to 15 years. The availability of highly skilled labor and expertise is essential, as we know that issues will inevitably arise. This is why resilience is a cornerstone of data centers. A strong service infrastructure is vital for addressing challenges promptly when they occur. Just as a car will eventually break down, data center systems too will face difficulties over time. At Vertiv, we have developed an exceptional service framework to ensure that we are always prepared to support our clients.
My philosophy is simple: we don’t sell a product unless we can guarantee the service to support it. When you sell a solution, you’re essentially selling a potential future problem, so ensuring your service capabilities are in place is vital for sustainable growth. This commitment to service is one of our key differentiators in the market.
We are continuously enhancing our core production facilities and making ongoing investments in engineering, research, and development. We are also evaluating our global footprint to optimize production capabilities and meet the growing demand. We are not just focused on the immediate needs of today; we are preparing for the demands that will arise in the next six months, a year, or even two to three years. In this race for capacity, the winner will be the one best positioned with the most scalable and resilient capacity.
What is the future of cooling systems in relation to AI chips, and where do you see this race heading?
While we are not completely moving away from air cooling as it will always play a role in the equation, fully eliminating it would be prohibitively costly. The transition to liquid cooling is a critical step forward. We are already seeing advancements in the liquids used to cool servers, enabling them to absorb higher levels of heat. However, the primary challenge will be addressing the overall densification of data center systems, as more powerful and compact solutions require innovative approaches to heat management.
Our partnerships with industry leaders like NVIDIA and Intel are essential, as they provide us with invaluable, first-hand insights into the development of cutting-edge chips and GPUs. While cooling and power systems might seem straightforward, AI introduces a new layer of complexity that demands forward-thinking solutions. To meet these challenges, we are making significant investments in research and development to support the AI-driven data centers of today and tomorrow. Our commitment to continuous innovation ensures that we remain at the forefront of these critical advancements.
Tech Interviews
Temporalism Explores How Small, Consistent Actions Can Transform a Life
Ilia Sheludiakov’s story begins with a single decision — one that set off a complete transformation, physical, intellectual, and philosophical. He shed over 40 kilograms, trained for and completed marathons, and built businesses from the ground up. But it was in the process of rethinking his relationship with time that he arrived at something bigger: Temporalism, a philosophy built on the belief that time isn’t a pressure to outrun, but a long-term ally to work with.
At its core, Temporalism reframes time as our most valuable resource — one to be used consciously, not spent carelessly. It’s a philosophy rooted in a simple but powerful idea: small, consistent actions, repeated over time, compound into transformations far greater than any burst of intensity could achieve. Whether in health, wealth, or personal growth, Sheludiakov argues that lasting change comes not from perfect decisions made once, but from good decisions made repeatedly, with patience enough to let them compound.
Temporalism speaks to anyone who feels time slipping away too fast, or who senses untapped potential in their own ambitions but struggles to turn intention into consistent action. It’s a call to make peace with time — and to start using it as a partner in building a meaningful life.
Sheludiakov will next present Temporalism at the Sharjah International Book Fair, introducing the philosophy to a wider international audience and connecting with readers from around the world.
What is the core idea behind Temporalism?
Temporalism is about treating time as your most valuable resource and learning to use it consciously. It focuses on making better decisions today with your future self in mind, while building a meaningful life through consistent action.
How does Sheludiakov’s weight loss tie into this philosophy?
My weight loss was one of the experiences that shaped Temporalism. I lost over 40 kilograms, but the biggest lesson wasn’t about weight — it was realizing how much small actions, repeated over time, can completely change your life.
Why does he believe consistency beats intensity?
Intensity can create quick results, but it’s difficult to sustain. Consistency compounds. A small action repeated hundreds of times can ultimately have a much greater impact than a short period of extreme effort.
What role does patience play in building wealth?
Patience is fundamental. In investing and business, I try to think in years rather than weeks. Wealth is rarely created by one perfect decision; it is usually built through good decisions, discipline, and allowing enough time for them to compound.
Who is this book meant for?
It’s for people who feel that time is moving too quickly or that they could be doing more with their lives. Especially those who have ambitions but struggle to turn them into consistent action.
Where will he present the book next?
I will be presenting Temporalism at the Sharjah International Book Fair, where I look forward to introducing the philosophy to a wider international audience and connecting with readers from around the world.
Spotlight
From AI Pilots to AI-Native: Saudi Arabia’s Next Technology Leap
As Saudi Arabia moves AI from experimentation into large-scale deployment, Federico Pienovi, CEO APAC & MENA at Globant, explains why the Kingdom is emerging as a proving ground for agentic AI, AI-native business models and a new generation of connected experiences spanning sports, tourism, financial services and giga-projects.
Saudi Arabia is investing heavily in AI infrastructure and adoption. What is the Kingdom doing differently that could make it a global blueprint for moving AI from experimentation into large-scale business deployment?
What distinguishes Saudi Arabia’s approach is the alignment between national ambition and institutional execution. The Kingdom is embedding AI directly into the infrastructure of its giga-projects, financial institutions, and national sports ecosystems from day one. When you look at projects like Qiddiya, Red Sea Global, Diriyah, and New Murabba, these are greenfield developments where AI-native technology can be architected into the foundation rather than bolted on afterward.
Saudi Arabia is simultaneously transforming multiple sectors, tourism, sports, aviation, entertainment, real estate, and financial services, which creates a unique ecosystem effect. For instance, the world’s first Agent-to-Agent Tourism Corridor, connecting Red Sea Global and AlUla through sovereign AI destination agents, demonstrates how different entities can share AI infrastructure while maintaining data sovereignty. The Kingdom has also created conditions where global technology partners want to establish a deep local presence. Our own experience establishing a regional headquarters in Riyadh as a Center of Excellence for AI, creativity, and digital solutions reflects this pull, serious institutions want serious partners embedded alongside them, working on problems that matter at national scale.
Agentic AI is quickly becoming the next major enterprise conversation. Where are you already seeing organisations move beyond copilots towards AI agents that can independently execute tasks and make operational decisions?
The shift from copilots to autonomous agents is happening fastest where the business case is clearest and the tolerance for transformation is highest. In the Middle East, we’re seeing three sectors lead this transition: tourism and hospitality, financial services, and real estate development.
In tourism, the Agentic Tourism Corridor we’re launching at LEAP represents what we believe is the world’s first live Agent-to-Agent network, sovereign AI destination agents for Red Sea Global and AlUla that can communicate with each other to orchestrate guest journeys across multiple destinations. These are agents that can independently execute booking decisions, coordinate logistics, and personalize experiences based on real-time behavioral data.
Financial services institutions in the region, including banks like FAB, Emirates NBD, and Commercial Bank of Dubai, are deploying agentic AI that goes beyond customer service automation. We’re talking about agents that can independently manage risk assessment workflows, execute compliance checks, detect fraud patterns, and personalize customer journeys without human intervention at each step. Globant Financial Services AI Studio is specifically designed to refactor operations through agentic AI, not just add conversational interfaces.

In real estate, our PropTech ecosystem demonstrates the full agentic potential: AI agents handling lead qualification, property discovery through AR/VR, construction progress tracking via digital twins, and automated booking, payments, and service management. For giga-projects like Diriyah and New Murabba, is operational necessity given the scale and timeline ambitions.
The proof that this model works at global scale came in August 2026 when FIFA selected us to build their continuous, year-round fan experience ecosystem using AI Pods. Initial pilots showed a 20% efficiency increase in throughput generation while maintaining or improving quality. FIFA specifically described their move as embracing an AI-native, consumption-based model, a signal that major global institutions are ready to move past experimentation.
Many companies have spent years on digital transformation, yet AI is now forcing them to rethink entire operating models. What separates an organisation that simply adds AI to existing processes from one that genuinely reinvents the business around AI?
The difference lies in whether an organization treats AI as a feature or as an operating system. Adding AI to existing processes means layering chatbots onto customer service, adding predictive analytics to existing dashboards, or automating discrete tasks within unchanged workflows. Reinventing AI means changing the unit of delivery, the commercial model, and the fundamental process of how work gets done, all at once.
Technology services have moved through three eras. Traditional IT services sold labor, hours and full-time equivalents, delivered through projects, scaled by hiring more people. Digital-native services sold expertise and delivery, agile squads, human-built software with automation layered in. What we call AI-native technology services represents a third era, where the resource is people plus AI agents, delivery is agent-orchestrated, and the commercial model shifts from hours to outcomes, capacity, and tokens.
When FIFA engaged us to build their fan experience ecosystem, they didn’t ask for AI features added to their existing platforms. They embraced an AI-native, consumption-based model where they pay for outcomes rather than hours, where AI agents execute while human experts orchestrate, and where all institutional knowledge generated is secured in a proprietary token vault that FIFA owns. That’s reinvention, the entire relationship between client and technology partner has changed. Organizations that genuinely reinvent share several characteristics: they architect for AI from the beginning rather than retrofit, they measure success in business outcomes rather than technology deployment; they’re willing to change commercial relationships, not just internal processes, and critically, they maintain human expertise in an orchestration role rather than simply automating humans out of the equation. Expert supervision remains essential, anyone can prompt an AI tool, but shipping results to production requires governance, quality validation, and domain knowledge that only human experts can provide.
Saudi Arabia is simultaneously transforming sectors such as tourism, sports, aviation and entertainment through major projects. Which of these sectors do you believe could become the strongest showcase for AI-driven experiences, and what might those experiences look like over the next three to five years?
Sports has the strongest potential to become Saudi Arabia’s defining showcase for AI-driven experiences, and the evidence is already emerging. The Kingdom’s sports transformation, through the Saudi Pro League, preparations for the 2034 FIFA World Cup, and purpose-built sports infrastructure within giga-projects, creates a unique convergence of factors: massive capital investment, greenfield venues, a young and digitally native fan base, and explicit ambition to leapfrog existing global benchmarks.
What makes sports particularly powerful as a showcase is that fan experiences are inherently measurable and emotionally resonant. Through Sportian, we’ve built a single operating system that connects fan identity, behavioral data, content, venue operations, and performance intelligence. This platform already powers LALIGA clubs, the Belgian Pro League, and the U.S. Men’s National Soccer Team under Mauricio Pochettino. The Saudi Pro League represents an opportunity to deploy this at scale in venues designed from the ground up for AI integration.
Over the next three to five years, the experience could look like this: a fan’s journey begins before they leave home, with AI agents curating personalized content, managing ticket purchases, and coordinating travel logistics. In-venue, their identity travels seamlessly across every digital touchpoint, concessions, merchandise, interactive experiences, creating a continuous relationship rather than discrete transactions. Real-time performance data informs on-screen content that adapts to what individual fans care about. Post-match, that relationship continues through personalized content and engagement that keeps fans connected year-round, not just on match days.
Globant has established its regional headquarters in Riyadh and worked across several Vision 2030-linked sectors. After three years in the Middle East, what have you learned about the region that has changed Globant’s strategy, and where do you see the biggest opportunity for the company over the next phase of growth?
What we’ve learned has shaped how we operate here and influenced our global thinking. The first lesson was the speed of ambition. The timeline expectations in Saudi Arabia compress what would be multi-year transformation programs elsewhere into months. This has pushed us to evolve our delivery models, the subscription-based This has pushed us to deploy our most advanced delivery models here from the outset. The subscription-based AI Pods approach, where clients can unlock modular teams of AI agents supervised by human experts from day one, reflects where the entire technology services industry is heading globally. The region’s pace and ambition mean that clients here are among the earliest and most demanding adopters of that model, making the Middle East a natural proving ground for AI-native delivery at scale.
The second lesson was the seriousness of partnership expectations. Our client roster in the region, Qiddiya, Red Sea Global, the Saudi Pro League, represents institutions that aren’t looking for vendors. They’re looking for partners willing to stake their own reputation on joint outcomes. Every flagship client represents an institution betting its own transformation on us.
The third lesson was about talent. The Kingdom’s investment in developing local technology talent aligned with our decision to position Riyadh as a Center of Excellence for AI, creativity, and digital solutions. This isn’t a satellite office supporting work done elsewhere, it’s a hub where innovation happens.
Looking ahead, the biggest opportunity lies in the interconnection between sectors. Saudi Arabia isn’t transforming tourism, sports, entertainment, aviation, and finance as separate initiatives, these are interlocking systems that will increasingly need to share data, coordinate experiences, and operate as a unified ecosystem. The technology partner that can operate across all these sectors, understanding both the vertical depth and horizontal connections, will be positioned to support the Kingdom’s next phase of growth.
Tech Interviews
Connected Cities, Safer Futures: The Critical Role of Communications in Smart Mobility
As Middle Eastern cities invest heavily in smart mobility, intelligent transport systems, and connected infrastructure, reliable communication networks are becoming the foundation of urban resilience. In this exclusive interview with Technology Integrator, Thibaut Faivre, Head of MEAI Sales & Programme Delivery for Public Safety and Security at Airbus Defence and Space, discusses the technologies enabling real-time situational awareness, inter-agency collaboration, and mission-critical connectivity across the region’s rapidly evolving mobility ecosystem.
As Middle Eastern cities accelerate smart mobility and connected infrastructure projects, how important is real-time communication and situational awareness becoming for modern transportation and emergency response ecosystems?

As Middle Eastern cities accelerate their journey toward becoming global hubs for smart mobility, the role of communication is undergoing a fundamental shift from a supportive function to the very backbone of urban resilience. For modern transportation and emergency response ecosystems, real-time communication is no longer merely about voice connectivity; it is about the seamless flow of high-capacity data. Traditional narrowband systems, while reliable for voice, cannot accommodate the digital evidence, live video feeds, and precise geolocation data that now sit at the heart of frontline decision-making. In a region defined by rapid urban expansion and high-security profiles, situational awareness means having the ability for command centres to see incidents in real time rather than reacting to them after the fact. This “resilient intelligence” ensures that as infrastructure becomes more connected, the agencies protecting it can operate with a level of clarity that matches the complexity of the environment they serve.
How could technologies such as GINA Software’s Tactical AVL and Unified Command Interface reshape the way emergency services respond to large-scale road incidents, traffic disruptions, and mobility-related crises?
The integration of GINA Software’s specialised modules into our Agnet and TETRA ecosystems represents a significant leap in how emergency services manage large-scale mobility crises. By turning complex data into life-saving action, these modules allow first responders to operate within a unified digital interface. The Tactical AVL tool provides dispatchers with granular visibility of assets and personnel, ensuring that units are deployed with maximum efficiency during major road incidents where every second is vital for clearing traffic and saving lives. Simultaneously, the Smart CAD (IMS) module supports high-level decision-making by consolidating mapping, field data, and reporting into a single interface, removing the cognitive load of managing disparate systems. Perhaps most importantly, the Unified Command Interface facilitates coordination between different agencies and networks. This reduces the communication barriers that often plague large-scale operations, ensuring that police, medics, and transport authorities are all working from a single, synchronised and common operational picture.
With connected vehicles and intelligent transport systems continuing to evolve, do you see public safety communication networks eventually becoming deeply integrated into future smart mobility frameworks?
We are seeing a definitive convergence where public safety communication networks are becoming deeply embedded into the wider smart mobility framework. The transition from legacy narrowband to mission-critical broadband (4G/5G) is the catalyst for this integration. As vehicles and infrastructure become more intelligent, the communication architecture must scale accordingly to support AI-enabled intelligence and automated workflows. For instance, AI can now be used to detect anomalies in real-time video feeds or automate resource allocation, allowing first responders and control centres to act proactively rather than reactively. This digital transformation ensures that public safety tools are not isolated silos but are instead natively integrated into the data-driven workflows of the cities they protect. By leveraging shared data rather than isolated radio channels, future smart mobility frameworks will benefit from a level of inter-agency coordination that was previously impossible.
In high-density urban environments, where every second matters during emergencies, how critical is interoperability between agencies, fleets, transport authorities, and first responders?
In dense urban environments, the speed of response is often dictated by the fluidity of information across different organisations. Interoperability between agencies, transport authorities, and first responders is a strategic priority, particularly within the Gulf Cooperation Council (GCC) region. Airbus is actively supporting this by creating gateways between respective communication systems to facilitate interstate and inter-agency collaboration. Public safety professionals operating in high-stakes environments rely on their tools to work across boundaries without friction. A smooth transition to broadband must ensure that interoperability, tactical management, and scalability are designed into the system from the outset. This allows agencies to communicate across organisations seamlessly and adjust operational priorities in real time as missions evolve. Without this level of technical and operational certainty, the benefits of high-speed data cannot be fully realised in a crisis.
As the automotive and mobility sectors become increasingly software-defined and data-driven, what role will secure communication architectures play in ensuring safer and more resilient transportation networks across the region?
As the automotive and mobility sectors become increasingly software-defined, the role of secure communication architectures is to ensure that the “intelligence” of the network never fails. Resilience in the Middle East is a unique challenge due to vast geography, the regional security threats and the exposure to climate-driven incidents, which means terrestrial networks alone are sometimes insufficient. Airbus addresses this through a layered approach that integrates satellite connectivity with terrestrial broadband. Solutions such as Agnet over Satcom ensure that mission-critical communications remain operational even in remote areas or during major disasters that disable standard infrastructure. Furthermore, for local incident scenes where network coverage might be overloaded or temporarily unavailable, tools like Agnet Direct allow teams to stay connected via off-network direct mode. This hybrid architecture, which combines the mission-critical reliability of TETRA with the high-speed data capabilities of 4G and 5G, creates a robust foundation for the next generation of secure, data-driven transportation networks across the region.
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