Edge Compute

Why the Future is Closer Than You Think

As organisations across the UK accelerate their digital transformation, the role of data centres, and the shift to Edge computing, has never been more critical. In this edition of Give Me 5, we talk with Chris Newall, Sales & Strategy Director at Clarke Connect, to explore what’s powering the demand for smarter infrastructure at the edge, the challenges businesses face, and why the future of edge compute may be much closer than you think.

#1

Where Your Data Lives

Thanks for joining us, Chris, to discuss a fascinating subject: data centres and the Edge. Let's start with the basics, what are data centres?

Chris: Thanks. I’m delighted to have the opportunity to delve into what I feel is an extremely exciting landscape. Data centre basics are a great starting point because while many of us interact with data centres daily—often without realising it—few people understand how central they’ve become to our lives, society, and businesses.

Put simply, a data centre is where the cloud lives. Behind every click, stream, or swipe is a physical building packed with high-performance servers, networking equipment, and storage systems powering the digital experiences we rely on. Data and information management runs through data centres, from online banking to your favourite social media apps, streaming platforms, and workplace tools like Microsoft 365 or Salesforce.

If you stop to think about it, we have all experienced a shift and transformation in how we consume content. We’ve moved from a downloading and owning model to streaming and subscribing. For providers, that’s created more flexibility, scalability, and recurring revenue models, but behind the scenes, it’s driven an explosion in demand for data centre infrastructure.

But it goes far beyond content. For business organisations, data centres enable daily operations hosting ERP systems, customer databases, supply chains, secure communications, and virtual desktops. They’re the backbone of businesses’ data management, workflows, and real-time decision-making. With the increasing volume, variety, and velocity of data, having the proper infrastructure in place is not just an IT consideration—it’s a commercial priority.

What’s essential to understand is that data centres are not just about storage anymore. Today’s data centres also power enormous volumes of real-time analytics, AI workloads, and latency-sensitive applications. That introduces new challenges, energy demand, cooling requirements, data sovereignty considerations, and new delivery models, meaning massive, centralised data centres no longer provide the complete answer.

So, while it may sound technical, understanding what a data centre is, and how the industry is evolving, is becoming essential for organisations planning their digital future. At Clarke Connect, we’re helping our clients navigate the market hype and think beyond the buzzwords, to ultimately assess and plan infrastructure strategies capable of delivering a seamless flow of secure and accessible data not just for today but for what’s coming next.

#2

Data Centres Dominate Headlines

Data centres have certainly been in the news a lot lately, Chris. What's behind that?

Chris: That’s very true. Data centres are attracting a great deal of attention right now, and rightly so. They’ve become critical infrastructure in a world where digital isn’t just a channel, it’s the foundation of how organisations operate.

While the general public sees the impact and benefits of streaming services or cloud-based apps, the way organisations now want to utilise them, to transform service delivery, improve resilience, and securely handle increasing volumes of data, is additionally driving the boom in data centre growth.

Think about healthcare, finance, energy, local government, and transport sectors, the list is fairly endless. Each sector isn’t just adopting digital tools, they’re becoming data-led ecosystems. For hospitals, fast, secure access to patient records and diagnostics is fundamental. Financial institutions are analysing real-time data to monitor transactions and mitigate fraud. Local authorities are modernising services for citizens, and transport and energy networks are leveraging IoT and automation to improve operations.  To underpin all of this, in the best way possible, there needs to be robust, flexible, and scalable, data centre infrastructure.

Throughout the UK, a rapid digital shift has been fuelled by major improvements in always-on Gigabit connectivity, from fibre broadband to 5G (our Clarke Telecom division is actively supporting these deployments), and the rise of cloud-native applications. What used to be managed on-site is now increasingly handled through secure cloud environments accessed via data centres. That shift has triggered a major expansion in data centre construction and capacity.

But it’s not just about scale. The emergence of AI and machine learning creates a new layer of demand. AI models require enormous computing power and specialised hardware, which consume vast amounts of energy and generate heat that must be carefully managed. As a result, power availability, cooling capacity, and environmental impact have become strategic concerns, hence why data centres are making headlines. They’re not just quietly running in the background anymore, they’re front and centre in dialogue and conversations around energy infrastructure, environmental responsibility, digital sovereignty, and economic growth.

At Clarke Connect, we’re working closely with industry leaders and key stakeholders to help them navigate this shift, from understanding the role data centres play in the UK’s digital strategy to assisting organisations to build the right architecture for resilience, compliance, and future growth.

#3

Bigger Isn't Always Better

Should we assume bigger is better? What is Edge computing, and why do you need compute power there?

Chris: It’s a great question and one that reflects a common assumption. Large-scale data centres, often referred to as hyper-scale facilities, offer significant efficiencies through economies of scale. They can handle vast volumes of data, support millions of users, and host countless services in a centralised environment.

However, as digital demand grows and evolves, bigger doesn’t always mean better for every use case.

These hyper-scale centres take years to plan and build. Increasingly, the timely availability of sufficient power and land in a single location is becoming a constraint. Add to that the growing volumes of real-time data being generated at the Edge from IoT devices, CCTV networks, sensors, autonomous systems, and digital healthcare platforms, and you start to see the limits of a purely centralised model.

Now, this is where Edge computing comes in.

At its core, Edge computing means placing compute power and storage closer to where data is generated and needed, rather than relying on a central facility hundreds of miles away. For many businesses, this has become essential. Real-time applications whether in automated manufacturing, health diagnostics, transport or environmental monitoring, or energy grid control, can’t afford the latency of sending data offsite, processing it, and waiting for it to come back. Milliseconds matter.

There are other benefits, too. Processing at the Edge helps reduce bandwidth costs, speeds up deployment in areas with limited infrastructure, and unlocks access to locations with suitable power and space availability — often when a hyperscale build isn’t feasible.

Data sovereignty is another growing concern. With stricter regulations and increased geopolitical sensitivity, organisations across sectors are placing greater emphasis on where their data is stored — and who controls it.

There’s also a growing commercial consideration. The cost of using hyperscalers like AWS, Azure, or Google Cloud can rise significantly as data volumes scale, prompting many organisations to rethink their long-term cloud strategies and adopt a hybrid approach that combines public cloud, private infrastructure, and Edge computing.

We see Edge computing not as a replacement for traditional data centres, but as a complementary evolution. It enables businesses to design smarter, faster, more resilient digital environments that meet today’s demands, and tomorrow’s ambitions.

#4

Challenges of Scaling Edge

What are the challenges in building out Edge computing in the UK?

Chris: Edge computing holds vast potential but rolling it out at scale isn’t without challenges, especially in a landscape as complex and varied as the UK.

First, it’s important to understand that this isn’t about replacing one model with another. For most organisations, we’re looking at a hybrid future where non-time-sensitive, bulk data processing remains in large public cloud or hyper-scale environments while real-time, high-performance workloads shift closer to the source using Edge infrastructure.

That creates a level of architectural complexity. Edge locations need to interoperate with multiple cloud platforms while also integrating IT and OT systems, and that’s not always straightforward, especially when managing distributed environments that demand high levels of security, resilience and governance.

Another factor is variation in use cases. What workloads need to sit at the edge, and in what volume, will depend heavily on the industry and application. A hospital’s edge requirements are very different from those of a logistics provider or smart factory. That variation will shape the number of sites needed, their location, physical size, and power and cooling demands.

Speaking of location, that’s a big piece of the puzzle. Edge sites need to be strategically placed close to end users and operations whether they are near urban centres or industrial zones or in more isolated out-of-town locations. Finding the right site with suitable land, access to reliable power, and good fibre connectivity, mean the ability to negotiate leases, navigate planning considerations and rapidly deliver a complex construction programme become just as important as the technological design considerations.

Then there’s the matter of scale. In the UK, to truly support edge computing across sectors like healthcare, manufacturing, education, energy, and transport, we’ll need to deploy, upgrade, and manage hundreds or eventually even thousands of distributed nodes, and that calls for specialist engineering capability, infrastructure expertise and proven delivery skills to be brought to bear consistently across the UK.

We’re already helping our industry partners and clients to address these challenges, bringing the technical understanding, local knowledge, and deployment expertise needed to make edge computing practical and powerful for their operations.

#5

The Future is at The Edge

It's fantastic to see organisations embracing data technology and Edge Computing, but as we're still in the infancy, what does the future journey in the UK look like?

Chris: Absolutely — and it’s a journey that’s accelerating fast. We’re at a pivotal moment in digital infrastructure, where the convergence of AI, rapidly growing data volumes, and regulatory pressure is reshaping what organisations need from their IT environments.

The shift to Edge computing is already happening, and the rapid rise of generative AI is turbocharging it. Since breakthroughs in foundation model training, like those developed by companies such as DeepSeek, the pace of AI adoption has gone through the roof. But AI workloads are demanding.

A recent Omdia survey showed that three-quarters of organisations are already embedding AI into their operations, and their biggest challenge isn’t software, it’s infrastructure. Power, cooling, and the limitations of legacy data centres are now front-and-centre issues. Many of the UK’s data centres were built for older workloads and can’t readily scale to support what’s coming next.

Edge is becoming the natural home for tomorrow’s applications. A TechUK report estimated that 80% of data will “live and die” at the Edge within five years simply because it’s no longer practical or appropriate to centralise everything. This outlook echoes the view from Nvidia—now the most valuable company on the planet thanks to its AI chips—which anticipates over 82% of AI inferencing migrating to the Edge in the near future.

But it’s not just about performance. There’s a growing strategic and geopolitical reason why organisations are rethinking where they store and process data. The US Cloud Act gives American authorities the right to access data stored in US-owned cloud platforms, even if that data is held overseas. For many UK-based organisations, particularly those in critical sectors, data sovereignty and IP protection are no longer optional—they’re essential and business-critical.

Everything points to the wave of Edge deployments taking place across the UK continuing to gain momentum. Smaller, strategically located sites closer to where data is created and used offer more control, more flexibility, and a faster path to innovation. Crucially, they can be built on more accessible power and space footprints, making them more viable for rapid real-world rollout.

At Clarke Connect, we see this future unfolding now. We’re already supporting organisations in shaping and delivering Edge strategies that meet performance, compliance, and commercial goals. The infrastructure is evolving, and organisations need to act today to safeguard data, operations, and security.

If your organisation is exploring the role Edge computing can play in the UK’s digital transformation — or facing challenges around data sovereignty, AI readiness, or infrastructure complexity, we can support your journey.Contact the Clarke Connect team at info@clarke-connect.com