As artificial intelligence infrastructure expands at an unprecedented pace, one of the biggest challenges facing the industry is not computing power — but electricity. A new collaboration between engineering firm AtkinsRéalis and NVIDIA highlights how nuclear energy could play a major role in powering the next generation of AI data centers.

The companies are exploring how nuclear power infrastructure, digital twins, and accelerated computing could be combined to support the development of large-scale AI facilities, sometimes referred to as AI factories.

The growing energy problem behind AI

The rapid growth of artificial intelligence, data centers, and high-performance computing is driving massive increases in global electricity demand. Training and running large AI models requires enormous computing power, which in turn requires reliable and continuous energy supply.

This is why governments and infrastructure developers are increasingly exploring nuclear energy as a low-carbon, baseload power source for future AI infrastructure.

AtkinsRéalis, a major engineering and nuclear company, is working with NVIDIA to explore how nuclear-powered infrastructure could support next-generation AI facilities. The collaboration will look at how AI-ready facilities could be designed, optimized, and deployed using digital twin technology and high-performance simulation tools.

Digital twins and AI infrastructure design

One of the key technologies involved in the collaboration is NVIDIA Omniverse, which allows companies to create detailed digital twins of infrastructure projects before construction begins.

Using digital twins, engineers can simulate infrastructure systems in a virtual environment, test different configurations, optimize performance, and identify potential issues before building in the real world. This can reduce costs, accelerate construction timelines, and improve safety and efficiency.

The companies are exploring how these tools could be used to design integrated infrastructure systems combining nuclear energy, power distribution, cooling systems, and large-scale AI computing facilities.

Nuclear power and AI factories

The concept of “AI factories” refers to large-scale data centers dedicated specifically to artificial intelligence workloads. These facilities require massive amounts of continuous electricity, making nuclear power an attractive option due to its reliability and low carbon emissions.

The collaboration will explore several areas including:

• Integrating nuclear power with AI data center infrastructure
• Using digital twins and simulation for infrastructure planning
• Improving engineering workflows with AI tools
• Accelerating construction and project delivery
• Optimizing power distribution and cooling systems

The partnership reflects a broader trend across the technology industry, where energy infrastructure is becoming a critical factor in the future of artificial intelligence development.

Energy becoming the limiting factor for AI growth

As AI models continue to grow in size and complexity, energy availability is increasingly becoming one of the biggest constraints on AI expansion.

Large technology companies, infrastructure providers, and governments are now exploring nuclear energy, renewable energy, and new power infrastructure solutions to support future data center growth.

The collaboration between AtkinsRéalis and NVIDIA shows how the future of artificial intelligence may depend not only on chips and software, but on power generation, infrastructure engineering, and energy strategy.

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A new analysis shows that while isolated disruptions have occurred, the region’s data centre ecosystem remains stable, highlighting the growing importance of resilience-first infrastructure design.

A Live Stress Test for Digital Infrastructure

Rising tensions across the Middle East have brought renewed scrutiny to the resilience of critical digital systems.

According to a recent analysis from DC Byte, the situation is less a breakdown—and more a real-world stress test for modern infrastructure. In its latest report, Assessing the Impact of the Middle East Conflict on Data Centres, the firm outlines how the sector is responding under pressure.

Minimal Disruption, Strong Architecture

Out of 233 data centre developments across the GCC, only a small number have been directly affected.

Crucially:

• Workloads have been successfully rerouted

• Core services have remained largely uninterrupted

• Infrastructure redundancy has performed as designed

This reflects a broader shift in infrastructure strategy—where resilience is built into systems from the outset, rather than added later.

Risk Is Reshaping Strategy

While the system has held up, the conflict is accelerating changes in how operators approach infrastructure design.

Key priorities now include:

• Advanced physical risk modelling

• Distributed and decentralised workloads

• Multi-region redundancy frameworks

These approaches are rapidly moving from best practice to baseline expectation.

Supply Chains Still Matter

Beyond operational resilience, the report highlights emerging pressure points in logistics and connectivity.

Disruptions around the Strait of Hormuz are introducing:

• Shipping delays

• Routing constraints

• Increased costs

These issues reinforce a critical insight:

Even the most advanced digital systems remain dependent on physical infrastructure and global supply chains.

Investment Momentum Remains Strong

Despite geopolitical uncertainty, investor confidence in the region appears largely unchanged.

The data shows:

• 2.4GW of qualified capacity

• 2GW+ in early-stage planning

• No major investor withdrawals

This suggests that the market continues to be viewed as high-growth, with manageable risk exposure.

Infrastructure Meets Geopolitics

DC Byte CEO Bernard Johnson notes that the situation highlights a deeper trend:

The growing interaction between geopolitical risk and digital infrastructure.

In practical terms, this means data centres are no longer just technical assets—they are increasingly seen as strategic infrastructure.

The Bigger Picture

As demand for cloud computing, AI, and digital services continues to expand, resilience is becoming a defining factor in infrastructure investment.

The Middle East is now demonstrating that:

• Modern architectures can withstand localized disruption

• Redundancy is no longer optional

• Infrastructure design must account for geopolitical uncertainty

Conclusion

So far, the region’s data centre ecosystem is proving resilient under pressure.

But the long-term impact may be even more significant:

• Greater emphasis on distributed infrastructure

• Increased investment in risk-aware design

• A shift toward resilience as a competitive differentiator

In an increasingly unpredictable world, uptime is no longer just an engineering challenge—it’s a strategic one.

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