Data Center World Middle East : Day 1 - Dubai Standard Offset - UTC+04:00
Despite record GPU investment, most enterprise AI initiatives still fail to deliver value. The problem isn't a lack of compute. They hit limits in integration, data, cost and trust. As compute constraints ease, the next advantage is architectural.
This keynote shows how leading organizations are building the resilient agentic enterprise by moving from isolated bots to an orchestrated agent workforce. That workforce is built on open standards, grounded in trusted data and business context, governed by design, and engineered to control cost and fail safely.
Drawing on production results and the AI-Native Enterprise (AINE) blueprint, this session gives leaders a practical path to turn AI ambition into measurable outcomes.
As technical complexity and global connectedness in Middle Eastern data centres increases, so too does vulnerability to attack. This session examines what it takes to secure the modern Gulf facility as critical sovereign assets - resilient by design, recoverable in operation, and trusted 360 at every layer.
We’ll discuss cybersecurity priorities with examples of recent data centers in the region - from ransomware, nation-state and identity-based threats to the growing risks of IT-OT convergence, vendor remote access, east-west movement, and trust in tech provenance and data processing across borders.
Finally, the session will address physical security beyond white space: protecting perimeters, substations, cable routes, and the subsea infrastructure critical to The Gulf’s reputation as a secure AI hub and geographic bridge for global internet traffic.
As demand for AI-ready capacity accelerates, data centre delivery across the Middle East is being shaped by powerful constraints beyond demand. Quality and delivery timelines for power, GPUs, and cooling systems, coupled with growing construction costs, and a specialised talent shortage comprise day-to-day supply chain constraints impacting the pace and scale of the region’s ambitious expansion goals.
This fireside chat explores the practical implications behind this complex, powerful web of factors influencing timelines, cost and project viability, with a look at how the region’s logistical hubs are working to keep high-value equipment moving and the strategies - from hyperscaler partnership to modular design - being deployed to keep projects on track.
With $30B of planned investment by 2030 and a wealth of hyperscale projects breaking ground, the Gulf’s data center sector remains a world-class investment opportunity. But it’s entering a new phase, one less defined by the conventional hunt for capital, and more centered on intense competition for the power, partnerships, and project expertise needed to deliver AI-ready data centers at pace and scale.
This panel explores how the traditional project-to-project investment model has been disrupted, alongside the emerging strategies being deployed in The Gulf. From sovereign-hyperscale megaprojects and power-adjacent infrastructure plays to start-up innovation ecosystems, and platform models, we’ll examine who is funding the Middle East’s race for capacity, what demand is driving it, and what this means for international and local investors.
- Technical takeaway: value of new investment models such as REIT-like ownership that facilitate faster improving capital cost and regulatory alignment but risk concentrating MEA ownership.
- Technical takeaway: how AI start-ups and scale-ups translate funding into cloud consumption, GPU demand & long-term data centre utilisation.
Deployment of high-density liquid cooling in the Gulf presents extreme thermal engineering challenges distinct from temperate climates. This fireside chat examines the mechanical realities for data centre operators managing the complex liquid cooling process, from integration of direct-to-chip systems, CDUs, & secondary cooling loops to heat rejection in extreme ambient conditions.
We’ll also explore how operators are assessing water availability, WUE, maintenance complexity, leak risk, retrofit constraints and the operational skills required to manage liquid-cooled environments, with real-world examples of where liquid cooling is already viable, and the infrastructure required to support it.
Saudi Arabia and the UAE are moving toward a new class of compute infrastructure: the GPU-dedicated campus - mega-facilities designed to bypass the traditional delivery bottlenecks to sovereign capacity through vertically integrating land, dedicated power generation, and secured chip supply chains.
We’ll examine the structural and engineering realities of what makes these campuses technically distinct from conventional hyperscale and colocation builds, and the practicalities of how greater control over GPU availability, export control, grid connection, and workload orchestration can address these constraints.
The conversation will give developers, operators and technical vendors insight into the assessment framework for what is required to design and operate large-scale compute platforms capable of supporting large-scale training, inference and sovereign AI workloads in the Gulf.
Most Middle Eastern facilities are not built as pure AI hyperscale training environments. As regional data centre size increases alongside high-density workloads, the reality for most operators is a hybrid estate where enterprise, inference, and high-intensity training loads - with divergent thermal and electrical demands - must seamlessly coexist.
This technical session explores the structural realities of designing data halls, pods, risers, and power distribution for mixed-density environments.
As air cooling hits its physical limits, our panel explores the logistical sense of deployment options for Direct-to-Chip (D2C) vs immersion cooling to manage the 100kW+ rack reality, with a look at the structural complexities of retrofitting legacy raised-floor environments to support high-density liquid cooling loops.
- Technical takeaway: power distribution for mixed-density halls: busway design, UPS planning, fault protection, and phased allocation across 10kW, 30kW & 100kW+ zones.
- Technical takeaway: mechanical engineering of data centre cooling: from CDU integration, secondary fluid loops, manifold design, to leak detection architecture, & facility-level heat rejection.
Omdia Analyst Summit. The now, next, and the future of the data center
As AI workloads reshape data center demand across the Middle East, operators, investors, and policymakers face a defining question: how do you build and power AI infrastructure fast enough to meet demand, without running out of electricity, water, or budget?
This Omdia Analyst Summit brings together Jessica Nian, Senior Analyst, Data Center Infrastructure and Umaima Haider, Principal Analyst, two of Omdia's leading voices to reveal that challenge from the physical constraints of power and cooling to the economics of AI compute itself.Jessica and Umaima will present the latest independent data-driven insights into the full technology stack powering today's data centers, specifically you’ll hear:
- Power constraints: grid capacity, time-to-power, on-site generation
- Cooling constraints: arid climate, water scarcity, liquid cooling
- Rack density roadmap and co-designed architectures
- TCO, PUE/WUE, and ESG sustainability drivers
- AI value chain: from megawatts to token economics
Who Should Attend
- Data center professionals looking to navigate disruption and gain the information to make better decisions, including data center investors, engineers, and operators.
- Technology solution providers looking to better understand and reach the data center markets, including sales, marketing, product planning, and development professionals.
