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PowerPods – Why the Future of AI Power is Modular

Topic

efficiency innovation

Date

28 July 2026

Author

AVK

Read Time

7 mins

The industrialisation of AI has begun - this in turn is accelerating world-wide data centre infrastructure roll out. Together the combination of these forces is shifting every data centre development dynamic. This is particularly true for power provision.

In the ‘pre AI’ era, the task list for data centre developers usually began with: “Find and acquire land with available power or permission to build a substation.”

Today, project starting points are both more simple and more complex. In an era where the powering of many existing and emerging types of AI is the primary challenge for developers, the starting line can be characterised as: “Where can I find enough power to match my/my customer’s AI workload.”

We’re entering a new generation of data centre infrastructure types with power capacity needs ranging from:

GW scale AI factories,
To traditional shed form-factor facilities running tens and hundreds of MWs,
To bespoke inference workload AI Edge data centres dotted around population centres, financial districts or business and research clusters.

The need is for predictable power at speed.

This has dramatically and radically altered the landscape to one where modularity is integral to the data centre build environment. Innovation in power solutions to meet the speed and scale demands of developers, is the new game in town. Because of this, factory engineered PowerPods are a vital component of this new value chain.

PowerPods: The who and the why

Modular data centres using pre-fabricated architectures to house the latest generations of AI accelerator and processor technologies are rolling off production lines across the world.

Whatever the data centre development use case, in new builds, site upgrades and repurposing of pre-existing facilities, AI factories are being built through adoption of prefabricated construction modules comprised of containerised power, modular buildings and factory-built AI halls. The market is expanding into diversified data centre types across commercial DCs, hyperscalers and the new breed of edge and neocloud operators building to accommodate GPUaaS for AI at scale.

But all data centre builders are faced with the same macro trends:

Major issues with power access, security, sustainability
Lengthening equipment supply chains for generators, switch gear, UPS and storage
Lengthening grid connection queues
Strained grids – requiring decade long upgrade projects
End customers who can’t wait

5 ways (and counting) that modular PowerPods deliver

Power delivery built around infrastructure repeatability

As developers turn to factory-built power infrastructure, PowerPods deliver exactly what AI factory development demands: speed, cost-efficiency, and reliability at scale.

Capital efficiency: Build as you grow

Today, because of the nature of customer AI workloads, developers must have the flexibility to respond rapidly to customers who ask: “Can I scale with demand?”

PowerPod-based scaling is financially efficient for power-as-you-grow provision. Developer and operator provision of customer matching optionality to deploy a 2MW pod, 5MW pod, 10MW pod as demand lands is key. This also radically improves capital efficiency for every type of data centre owner.

Speed to power deployment

As AI scales the power challenges presented to operators are not confined to densities. For corporate users of AI infrastructure and GPU as a Service providers there is a new pressure in the form of the AI execution gap.

Whereas previously, corporates would work to 12-18 month timeframes for major software changes or digital transformation projects, in some cases today’s AI is expected to be operational in as little as three months. In terms of IT development this is known as the 90 day production sprint. This is where modular power solution build outs can respond to rapid ready for service timeline pressures of AI workloads.

Avoidance of supply chain bottle necks

Lead times are increasing for data centre equipment such as diesel generators, power distribution systems, medium-voltage transformers and advanced cooling systems, with delivery sometimes taking several years.

Global supply chains are stretched and lengthening. Transformer Magazine writes that “nearly half of the data centres planned in the US this year are expected to be delayed or even cancelled. A major reason is the lack of essential electrical equipment such as transformers, switchgear and batteries.” The same is happening across the UK and Europe.

Sovereign data centre build outs

The issue of AI, data and digital sovereignty is a top table discussion for every government and business across Europe. The moves to sovereign AI and power procurement have already begun. The EU Cloud Sovereignty Framework 2025–2026 has codified sovereignty into procurement scoring in some of the following areas, among others:

Legal/jurisdictional sovereignty
Data sovereignty
AI sovereignty
Supply chain sovereignty
Operational sovereignty

An interesting consideration here is supply chain sovereignty. AVK PowerPods allow data centre operators ultimate control over the components and infrastructure utilised within the PowerPods that comprise their critical electrical infrastructure. It means faster, more predictable delivery, since units are pre-built and shipped ready to install rather than stuck in long international shipping and export-control chains. In short, sovereignty isn’t only about where data sits, it’s about who controls the physical infrastructure keeping it running.

AVK PowerPod modular features that meet demand challenges and opportunities

Each AVK PowerPod houses critical power supply components of UPS, LV switch, transformers, cooling system, RMUs, power lighting. The PowerPod consists of the assembly of factory-made elements of each vital component. But, its uniqueness is it the capability of AVK to provide a truly client-led modular solution through the integration of client chosen sub-components that are fully factory tested and supplied as a fully deployable solution prior to arrival on site.

Results

The data centre industry is facing a power timeline disconnect between securing power infrastructure and the market requirement for power where it is needed at speed. This is because the supply chain timelines for equipment are lengthening at exactly the moment when the need for speed-to-power is top of the list of operator customer concerns.

These concerns cut across the commercial data centre developers whose customers are AI companies, enterprises building private and hybrid AI clouds to the global AI LLM training firms, neoclouds, and the public cloud firms building AI factories at GW scale. All are seeking ready for service certainty for customer commissioning and energisation timeline certainty. But addressing the speed-to-power timeline certainty begins long before customer roll outs.

Across Europe, getting onto grid connection queues is a time consuming and increasingly uncertain process that can materially impact planning and permitting timeframes. Markets are becoming increasingly complex making it more difficult to ensure energy solutions meet bespoke needs for workload performance, resilience, cost and flexibility combined with broader environmental responsibility.

The same applies to power distribution for increasingly complex AI technologies where traditional power distribution approaches struggle to match high-density compute specialised and failover strategies. AVK PowerPods are built out using standardised components without losing flexibility and customisation options. This enables design responsiveness for scale out and equipment refreshes that match power density and cooling density AI accelerator roadmaps.

What PowerPods deliver

Faster deployment – less on-site construction

Easier phased scaling – power ramping aligns with PowerPod additions

Lower integration risk – standardised components and a custom design

Better financing – modular capital deployment

The end markets for PowerPods

Ultimately the data centre end customer (hyperscale, colo, neocloud, AI edge) views modular as a means to an end to attract CIO, CTO and CAIO customers who want solutions to concerns such as:

Speed to deployment of AI workloads – the financial imperative
Localised sovereign AI – the regulatory and market imperative
Hybrid AI infrastructure architectures – the cost control imperative

Data centres have their own roadmaps for scale out construction in response to customer demand. But their power strategies need to be financially efficient.
This means no longer sticking only with build and fill but build out in modules as power capacity demand grows. The benefit here is one of ramping power on an as needed basis, saving capex on infrastructure and avoiding the risk of stranded, unused power capacity.

This is where AVK PowerPods provide the greatest value.

Conclusion

Whatever its headline MW figure (50MW, 100MW, 500MW) no data centre has ever reached maximum capacity on day one. The old model of build 100MW and wait for the available power to reach utilisation is no longer fit for purpose for many AI operator use cases.

Although not obvious to the untrained eye to date, almost every data centre ever constructed has an individual uniqueness to its power chain topology. PowerPod based modular data centre architecture will not replace how every data centre is powered. But for a growing number of use cases in existing and new environments, AVK PowerPods are being recognised as the perfect fit.