Artificial intelligence is changing the way the world works. From accelerating research to transforming industries, the pace of progress is extraordinary, and it depends on having robust AI infrastructure in place.
The reality is that most existing data centres were never designed with AI in mind. They were built for general-purpose IT, not for the immense power and cooling demands of GPU-based training and inference. As a result, new kinds of facilities are needed. Ones that can deliver performance at scale, operate sustainably and support the communities where they are built.
At Nscale, that’s exactly what we do. And at the heart of our approach are people who have already delivered some of the world’s most demanding infrastructure projects.
Proven people, proven delivery
Nscale’s leadership team is built around deep execution experience. Two figures in particular shape how we design and build:
Alex Sharp, Chief Operating Officer
A Chartered Electrical and Electronic Engineer, Alex has more than 30 years’ experience delivering major infrastructure projects. Over his career, he has built over 50 data centres, including some of Europe’s largest, and helped to develop European standards for the sector. His expertise spans everything from modular and prefabricated builds to the adoption of advanced cooling techniques.
At Nscale, Alex focuses on creating AI-optimised data centres that combine speed of deployment with industry-leading energy and water efficiency. He also champions community engagement: prioritising brownfield sites, creating jobs and training opportunities and exploring innovative schemes such as heat reuse from data centre operations.
“Having delivered more than 50 data centres – including some of Europe’s largest – I know how vital it is to get the fundamentals right. At Nscale, we take that proven delivery and apply it to AI, ensuring every site is not only efficient but also creates tangible benefits for the communities where we build.”
David Power, Chief Technology Officer
David brings over 20 years of experience in high-performance computing (HPC) across academia and industry. He began his career building supercomputing clusters from scratch, developing workload scheduling tools and Beowulf-style architectures. Since then, he has founded and led organisations that integrate supercomputers with cloud environments, and served for a decade on the Irish Supercomputing List advisory board.
His work has contributed to systems recognised in the Top500 supercomputing list, a global benchmark of technical capability. At Nscale, David ensures that every layer of infrastructure – from data centre design to orchestration software – is optimised for the demands of AI.
“AI places unique demands on infrastructure. That’s why we design for efficiency at every layer – from cooling systems to orchestration software – so our data centres deliver maximum performance today, and remain robust enough to handle the workloads of tomorrow.”
Together, this leadership underpins Nscale’s growing global presence. The company already operates across the UK, Europe and the US, with a footprint of AI-optimised data centres that demonstrate this approach in practice.
The Nscale approach
What makes Nscale different is not just experience, it’s a distinct approach to how AI infrastructure should be built.
1. Cooling for performance and sustainability
Traditional air cooling cannot cope with the thermal density of GPU clusters. Nscale’s facilities are designed around closed-loop, direct-to-chip liquid cooling, which delivers stable performance while drastically reducing water use.
This is already in place at Glomfjord, Norway, where Nscale operates high-density AI clusters cooled by direct-to-chip systems and powered by renewable energy. Glomfjord demonstrates that sustainable, high-performance AI data centres are not a future concept.
2. Power where it’s abundant
A key criteria for selecting appropriate sites for our data centres is based on their access to abundant renewable energy. By choosing locations with surplus clean energy, we can aim to ensure that customers’ AI workloads can run sustainably.
3. Modular and prefabricated delivery
Speed to capacity is critical. Nscale uses prefabricated and modular methods to accelerate deployment without compromising scale or resilience. This approach allows us to bring AI-ready capacity online faster, while maintaining flexibility for expansion.
4. Designed for longevity
AI infrastructure must keep pace with rapidly evolving hardware and software. Nscale builds with longevity in mind: power and cooling systems that can sustain future generations of GPUs, networking and orchestration tailored to large-scale training and inference, and open-source software integration to maximise efficiency and reduce waste.
Building the foundations for AI’s future
Artificial intelligence will continue to drive demand for unprecedented levels of compute power. Meeting that demand responsibly requires not just technology, but experience: the ability to design, build and operate facilities that can scale without compromise.
At Nscale, our leadership team has already delivered some of the most complex infrastructure projects in Europe and beyond. With that track record, and a clear approach centred on efficiency, sustainability and community impact, we are building the AI data centres of tomorrow – responsibly, at scale, and ready for the future.
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