Haider Aziz, General Manager & VP META at VAST Data, explains that the Middle East is rapidly building AI‑ready, sovereign data centers powered by GPU‑driven AI factories, unified data platforms, and national strategies demanding high‑performance, resilient, and secure digital infrastructure.
How do you see the Middle East’s data center market evolving over the next five years, especially with the rise of AI, cloud, and sovereign data requirements?
The Middle East is moving from being primarily a consumer of cloud services to becoming a builder of AI-ready national infrastructure. Governments and large enterprises across the region are investing heavily in sovereign AI capabilities that enable them to develop and deploy AI models using their own data and within their own regulatory frameworks.
Over the next five years we expect to see three major trends. First, the emergence of AI factories; large-scale GPU-powered data centers designed specifically for training and running AI models. Second, growing demand for sovereign data platforms that enable organizations to maintain control over sensitive data while still benefiting from cloud-like scalability. And third, data centers evolving from traditional storage and compute facilities into intelligent data platforms capable of delivering real-time insights and supporting advanced AI applications.
Despite fluctuations in global markets, the region continues to demonstrate strong long-term investment in digital infrastructure as part of broader economic diversification strategies.
What unique challenges do Middle Eastern enterprises and governments face when modernizing their data center infrastructure, and how does VAST Data address them?
Many organisations in the region are modernising infrastructure while simultaneously pursuing ambitious AI strategies. That creates several challenges.
First, organisations need to consolidate vast volumes of fragmented data across legacy storage systems, cloud environments, and enterprise applications. Second, AI workloads demand extreme performance and throughput, which traditional architectures often struggle to deliver at scale. Third, there is a growing emphasis on operational resilience, ensuring that critical digital services such as banking systems, government platforms, and digital infrastructure remain continuously available.
VAST addresses these challenges with a unified data platform architecture that consolidates structured and unstructured data into a single environment. This eliminates data silos, simplifies operations, and ensures that AI systems can access data quickly and securely across large-scale infrastructure environments.
VAST Data is known for its unified, all-flash architecture. How does this architecture specifically benefit large-scale data centers in the region?
Large-scale AI environments require extremely high throughput and consistent performance. Traditional storage architectures often rely on tiers of disk and flash, which can introduce complexity and performance bottlenecks.
VAST’s architecture was designed differently. By using a disaggregated, shared-everything model built entirely on flash, organisations can scale capacity and performance independently while maintaining consistently low latency access to data.
For hyperscale data centers across the Middle East; many of which are supporting massive GPU clusters, this approach allows organisations to feed thousands of GPUs simultaneously with the data they require, enabling faster model training and more efficient AI pipelines while simplifying infrastructure operations.
With AI workloads exploding across sectors like energy, finance, and public services, how is VAST Data enabling organizations to operationalize AI at scale?
Organisations with powerful GPU infrastructure can struggle to operationalise AI because their data environments are fragmented or difficult to access. VAST solves this by enabling organisations to ingest, catalog, and activate data across the entire AI pipeline, from data preparation and model training to inference and real-time analytics. Our platform provides high-performance data access, combined with governance and automation capabilities, enabling AI workloads to scale effectively.
In sectors relevant to the region such as energy, financial services, and public services, this enables organisations to move beyond experimental AI initiatives and deploy production-scale AI systems that support decision-making, automation, and the creation of new digital services.
AI infrastructure is increasingly being viewed as a strategic national capability, particularly in industries where data-driven decision making directly impacts economic competitiveness.
Many regional governments are prioritizing data sovereignty and security. How does VAST Data support these priorities while still enabling cloud-like agility?
Data sovereignty has become a central requirement across the region, particularly for governments, financial institutions, and other regulated industries.
VAST enables organisations to build sovereign AI and cloud environments on infrastructure they control, ensuring that sensitive data remains within national or organisational boundaries while still providing the scalability and automation typically associated with hyperscale cloud platforms.
At the same time, our architecture supports modern hybrid environments that combine public cloud innovation with locally controlled infrastructure designed to ensure availability, security, and regulatory compliance. Built-in governance capabilities allow organisations to enforce security policies, manage access controls, and maintain full visibility into how data is used across their environments.
As the Middle East becomes a global hub for hyperscale and modular data centers, what role does VAST Data play in improving efficiency, performance, and sustainability?
Initially speed was all people wanted, but now efficiency is becoming increasingly important as AI infrastructure grows. Large GPU environments require enormous computational power and efficient data pipelines to operate effectively.
VAST’s architecture reduces infrastructure complexity by consolidating multiple storage tiers into a single platform and delivering high performance with a smaller hardware footprint. This simplifies operations while ensuring that data pipelines remain fast enough to support modern AI workloads.
We have a feature-rich platform that reduces infrastructure layers and improves data efficiency. Organisations can support larger AI environments with fewer systems, helping data centres improve operational efficiency and energy utilisation as they scale.
How does VAST Data’s platform help organizations manage and extract value from unstructured data, which is rapidly becoming the dominant data type in the region?
Unstructured data is absolutely the dominant data type, not just documents and images, but video and sensor data too. Here in the UAE we’re seeing this even more so because of the focus on public services and smart city developments. It’s growing far faster than traditional structured data and is increasingly the most valuable input for AI systems.
VAST enables organisations to treat unstructured data as a strategic asset rather than a storage challenge. Our platform allows enterprises to ingest, catalog, and analyse massive volumes of unstructured data while making it accessible to AI models, analytics platforms, and digital applications.
This allows organisations across sectors such as energy, finance, healthcare, and government to unlock insights from data that was previously difficult to analyse, enabling more advanced digital services and AI-driven innovation.
Looking ahead, what innovations or strategic initiatives can we expect from VAST Data that will further enrich modern data centers in the Middle East?
The industry is rapidly evolving toward data platforms that serve as the foundation for AI infrastructure. As we just announced at VAST Forward, our first user-conference, we are continuing to invest in technologies that help organisations orchestrate data more intelligently, automate complex AI pipelines, and govern data at massive scale. These capabilities are designed to accelerate the journey from raw data to production AI applications.
As governments and enterprises across the Middle East continue to build AI-ready infrastructure and deploy agents to increase productivity and improve automation, we see a growing role for platforms that simplify data management while enabling organisations to scale AI safely and efficiently, meeting local governance requirements.
Ultimately, the future of data centres in the region will be defined not just by compute power, but by how effectively organizations can activate and govern their data to power AI-driven economies.
