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
Qlik and Cognizant Explore the Transformative Potential of AI in the Middle East
Exclusive Interview with Kelly Forbes, AI Advisory Council Member, Qlik
How would you describe the collaboration between Qlik and Cognizant evolving in the future
It’s been great to see Qlik and Cognizant tapping into their partnership to support this transition. This collaboration really stems from a shared respect for the challenges ahead. There’s a significant amount of awareness and education that needs to happen, and we’ve seen some of that progress here today, where people can openly discuss the challenges they’re facing on the ground.
This creates an opportunity to differentiate between the broad potential of AI and how each organization can develop specific recommendations to address their unique challenges. It’s about identifying the role AI plays in tackling those issues while ensuring organizations can fully prepare their workforce for the changes that lie ahead.
Through this partnership, we can work together and collaborate to address challenges while utilizing technology to solve problems and seize opportunities. The potential of AI is vast and can be applied across various sectors. However, the focus should be on understanding the specific, day-to-day problems organizations face and exploring how AI can play a pivotal role in addressing those challenges.
When it comes to adopting AI, what are some challenges that you can discuss, and what are organizations in the region currently facing?
I think the biggest challenge is around resistance, right? We’re currently in a stage where technology is becoming normalized, and we’re getting used to it. When people work, there’s often a question of, ‘What can this technology do for us?’ There’s a significant need for education and awareness about how AI will change the way people work.
Currently, there’s a stigma and concerns about whether AI is taking jobs away. I think the more familiar people become with AI, the more comfortable they’ll feel learning and working alongside it. That’s the transition we need to make.
This is where partnerships can play a vital role—bringing organizations together to build awareness and create activities that address these concerns. Typically, through shared experiences and collaboration on these topics, organizations can learn from each other as we collectively navigate this transition.
How do you see the investment landscape in the Middle East in terms of AI adoption?
I think it’s an exciting space to be in. This region is doing so much. The potential value of AI in the Middle East is estimated at around $320 billion.
Here in the UAE, we’re seeing significant investments and infrastructure development, as well as the implementation of policies that support AI. They also have ambitious projects in the pipeline, many of which are driven by AI and automation.
The next step is linking all these different initiatives together. It’s about how governments can fully tap into this potential while ensuring that progress happens in a responsible way.
As part of my presentation, I’ve outlined guiding questions to help organizations and governments think about this responsibility. Collaborating with Qlik has been rewarding because we’re focused on how companies can play a leading role in this transformation.
How do you see regulations being implemented in the AI sphere? How do you think organizations will cooperate with these regulations?
It’s a very challenging space, and it’s evolving quickly. In the last one or two years, we’ve seen a lot of changes. Here in the UAE, they’re thinking carefully about regulations, particularly in the data protection space, and how these need to adapt to AI.
Globally, we’re seeing similar developments. For example, Europe’s AI Act is a significant step forward. The reality is that international developments, like what’s happening in Europe, will undoubtedly shape and impact businesses here. If you’re doing business with Europe, those regulations will affect the way you operate.
This creates a balancing act for companies. They need to reflect these international expectations in their operations here, especially large companies with a global presence.
At the same time, this is an opportunity for businesses that are paying close attention to these developments. Those who adapt quickly will be at the forefront of this transition.
What’s the future of work like with the popularization of AI?
I don’t think anyone can answer that with complete certainty, but we do know AI is changing the future of work. On one hand, it’s automating many tasks, and there’s a possibility that some roles might disappear. On the other hand, it’s also creating new jobs.
The key is to think about how we manage this transition—how we provide opportunities for people to learn new skills and upskill so they’re equipped to take on these new roles. That’s going to be crucial in shaping the future of work.
Tech Interviews
Galaxy AI Pioneers Program: Samsung’s Mission to Build an AI-Savvy Generation
Exclusive interview with Shafi Alam, Director and Head of Direct-to-Consumer Business & Corporate Marketing, Samsung Gulf Electronics
What inspired Samsung to launch the Galaxy AI Pioneers program, and how does it align with the UAE’s vision of building a knowledge-based, AI-savvy generation?
The Galaxy AI Pioneers program represents Samsung’s strategic vision to cultivate AI literacy at a grassroots level, democratizing AI education and making machine learning, robotics, and coding accessible to all.
Carefully structured across three age-specific cohorts, the program ensures age-appropriate learning and development. Strategically, the progam leverages a hybrid learning model that combines weekday virtual sessions with hands-on weekend training, hosted at the prestigious Coders HQ in Emirates Towers. This structure not only allows students to gain a deep understanding of AI theory, but also ensures they receive practical, real-world experience. By partnering with national initiatives such as the UAE’s National Program for Coders, we are proud to position ourselves as a pivotal contributor to the UAE’s vision for a AI-powered, knowledge-based economy.
Through the Galaxy AI Pioneers program, Samsung is empowering young minds to lead future innovation, ensuring they are equipped with the skills to thrive in a rapidly evolving landscape.
The program covers a broad range of AI topics, including ethical considerations in AI. Could you explain why ethics is a critical part of the curriculum for students aged 12-17?
Ethics in AI is fundamental for fostering a responsible, conscientious generation of tech users and creators. Beyond ethics, however, is the equally crucial aspect of digital safety – an area that goes hand in hand with ethical considerations. In today’s world, as AI technology becomes more embedded in daily life, understanding digital safety is essential to protecting both personal and community well-being.
The curriculum includes topics like data privacy and safe online practices, teaching students to make responsible choices while navigating the digital landscape to keep themselves safe. By learning about secure coding practices and data protection, students gain a comprehensive view of how to use AI responsibly and securely. This approach instills ethical values and empowers young innovators to contribute to a safer, more secure technology ecosystem as they develop AI-driven projects.
As the program continues to grow, what kind of impact do you hope to see in the UAE’s tech landscape from these young AI pioneers in the coming years?
The comprehensive structure of the Galaxy AI Pioneers program suggests a transformative impact on the UAE’s technological landscape. The program’s meticulous progression from fundamental concepts through to sophisticated applications like machine learning, computer vision, and AI robotics lays a robust foundation for future innovation. By training students in practical tools such as Python libraries and Galaxy AI applications while simultaneously developing their understanding of ethical considerations, the program is cultivating a generation of well-rounded AI practitioners.
The final capstone project requirement ensures that the graduates emerge not just with theoretical knowledge but with demonstrable experience in creating AI solutions. This combination of technical expertise, practical experience, and ethical awareness positions these young pioneers to drive meaningful innovation in the UAE’s tech sector, potentially leading to breakthroughs in areas like natural language processing, computer vision, and robotics while maintaining a responsible approach to AI development that considers societal implications.
With the success of our pilot version of the Galaxy AI Pioneers program, which received an overwhelming response from both students and parents alike, we have begun to roll out the program as part of the curriculum within select schools across the UAE, with plans to expand further in the future.
Tech Interviews
Sentinel One Pioneers AI-Powered Cybersecurity Solutions for Modern Enterprises
Exclusive interview with Ezzeldin Hussein, Regional Senior Director Sales Engineering, (META)
How does the SentinelOne Singularity platform streamline cybersecurity operations, and what are the key benefits of using this unified platform?
Since we’ve talked about my journey from data centers, let me share a common question I used to ask CIOs: “How many vendors are you working with for storage? Servers? Networking?” Typically, the answers ranged from one to five vendors. But when I asked about cybersecurity, the answer was often 60 to 120 vendors. This vendor sprawl creates a headache for cybersecurity teams and CISOs. At SentinelOne, our mission has been to address this challenge. Consolidation is now a key trend in cybersecurity. Ask any CISO today, and they’ll tell you their main goal is to downsize from managing 120 vendors to maybe 5 or 10.
The SentinelOne Singularity platform helps achieve this by offering a unified solution. Instead of relying on multiple, disconnected security products, this platform provides all the features and functions needed in one place. It secures endpoints (Windows, Mac, Linux), workloads (in data centers or on multi-cloud environments), identity, data security, and more—all in one platform. What sets the Singularity platform apart is its use of AI. We’ve been leveraging AI since 2013 and have now integrated generative AI, which is critical and highly relevant today.
How does Purple AI enhance threat detection and the efficiency of teams managing complex threats?
The simplest way to explain Purple AI is by asking customers if they use ChatGPT—and the answer is always yes because everyone uses it today. Now imagine giving your security team a tool like ChatGPT, integrated into the platform. With Purple AI, your team doesn’t need to worry about complex queries, syntax errors, or spending hours troubleshooting. Instead, they can use natural language to ask questions like: “Do I have an attack in my environment? Where is it coming from? Which machines are affected? Who is logged in?” The answers are displayed instantly.
Since we’ve integrated generative AI, Purple AI goes beyond simple detection. It guides your security team, speeds up detection, and makes threat-hunting far more efficient. Two key factors are critical for effective threat management: speed and intelligence. Purple AI delivers both. The speed comes from instant access to actionable information, enabling the SOC team to detect, respond to, and mitigate threats quickly. The intelligence comes from analyzing data to detect patterns and behaviors that traditional, manual processes might miss. Purple AI leverages large language models, a robust knowledge base, and global threat intelligence to make this possible.
What challenges have you faced when introducing new products like Purple AI and the Singularity platform to the market?
When you introduce new technology, customers are often skeptical. I always tell them it’s simple: try it. Let’s agree on an objective, create a pilot, and allocate some time and resources. Our team will work with yours to show how Purple AI can fill gaps or address missing elements in your environment. Our focus is on demonstrating ROI. Purple AI isn’t just something to purchase for fun—it delivers tangible benefits. For example, threat-hunting activities that used to take hours now take seconds. This drastically reduces the workload for SOC teams.
One feature SOC teams particularly appreciate is Purple AI’s ability to summarize incidents. After spending time investigating an attack, the team still needs to create a report for the CISO. Many team members struggle with this, especially since writing isn’t their strong suit, and English might not be their first language. With Purple AI, they can generate a clear, well-formatted, 3-page report in seconds. This saves them hours and ensures that critical updates are communicated effectively. This is why we believe the future of cybersecurity lies in generative AI—not just for analysis, but to make sense of results, communicate efficiently, and act quickly.
What trends do you anticipate looking at future of cybersecurity through the lens of AI?
AI is no longer just a fancy tool. Attackers have started using it, and as they evolve, so must we. To defend against AI-based attacks, we absolutely need AI-powered defense mechanisms. The next era of cybersecurity will inevitably become AI versus AI. It’s like a scenario from a movie, but it’s happening now. Attackers are already integrating AI into their methods, making it easier than ever to execute sophisticated attacks. Before, creating malware required highly skilled individuals. Now, with AI tools, it’s accessible to anyone. Here’s the critical difference: attackers only need one single opportunity to breach your environment, while cybersecurity vendors and their customers must work 24/7 to ensure 100% protection. This is where AI becomes crucial—not just as a defense mechanism but as a virtual assistant that works tirelessly to identify and mitigate threats in real time.
In our region, certain cultural and social factors also play into this dynamic. For instance, during Ramadan, people often take time to break their fast. Or think about engaging in leisure activities, like watching a 90-minute football game. Even cybersecurity teams may want to take a break. Attackers, however, recognize these moments of reduced vigilance and are quick to exploit them. AI can bridge these gaps, continuously monitoring and analyzing activity, and promptly alerting us to potential threats, even when human attention is elsewhere.
Zero-trust will also be a major trend in the coming years. More organizations are looking to implement zero-trust frameworks because of the rising prevalence of identity-based attacks and insider threats. Securing identities will become a central focus as businesses work to mitigate risks stemming from compromised credentials or internal vulnerabilities. In summary, these trends reflect how the landscape of cybersecurity is transforming and how AI is playing a pivotal role in ensuring robust defenses in a rapidly evolving threat environment.
Could you share your experience at GITEX and reflect on your journey over 26 years with the event?
I’ve been attending GITEX since 1998. At that time, I was working in a software house and was focused on programming and coding, which I really enjoyed—and still do, if I get the chance. Back then, I developed software for hospital management information systems, covering everything from clinical management to backend functions like inventory, purchasing, and pharmacy. That was where my GITEX journey started.
My first GITEX in 1998 was all about presenting this software to customers. It was a completely different experience compared to today. Back then, there was a “shopper” area where people would sell products, and the exhibition had separate areas for hardware and software. Eventually, they removed the shopper area because it caused too much traffic and chaos. Fast forward to today, and now we have specialized sections like the Cybersecurity Valley, where companies in the same domain are consolidated. This creates a better environment for interacting with customers.
Over time, I shifted from application development to the infrastructure side, specifically data centers. I wanted to ensure that the applications I developed ran on robust infrastructure. That’s what led me to VMware, where I worked on virtualization, cloud, hybrid cloud, and multi-cloud environments as they matured. After addressing infrastructure challenges, I moved into cybersecurity to secure those applications and environments. It’s been a natural progression—starting with creating applications, then managing where they run, and finally focusing on securing them.
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