SWI Compute Unveils 3.6 GW Power Portfolio as It Exits Stealth and Plans First 30 MW AI Factory in the UK

SWI Compute, a newly launched operator of NVIDIA AI factories within Euronext Amsterdam-listed SWI Group, has revealed that its first large-scale deployment will be built in the United Kingdom.

The initial phase at the UK site will carry 30 MW of capacity, housing close to 7,000 Rubin GPUs and 3,500 Vera CPUs in NVIDIA Vera Rubin NVL72 racks, with an expected online date by the end of 2027.

UK AI Campus Targets 530 MW Capacity

The site will be connected through NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum-X Ethernet networking, and it is only the opening phase of a UK campus with plans to scale to 530 MW.

From that foothold, the company is working towards 2.3 GW of NVIDIA AI factory capacity by 2029, with the next generation of European campuses scheduled to begin operating in Q4 2027 and thousands of GPUs planned for deployment.

The first deployment runs NVIDIA Blackwell Ultra systems, with NVIDIA Vera CPU racks to follow, and more than 8,000 GPUs in total are to be delivered. Delta Computers has been selected as a systems integrator from NVIDIA's OEM and ODM ecosystem, working alongside storage partners described as industry-recognized.

Six Years Spent Securing the Grid

Behind the launch sits a power base assembled over an extended period. SWI Group began investing in land, power, and shell in 2020 and today holds 3.6 GW of power capacity across Europe and the US, spread over 24 sites.

The Group's deepest presence is in Europe, where it operates five campuses in Ireland, the UK, Denmark, Spain, and Italy, one of which is already leased to a major hyperscaler. The Group develops its own sites from grid connection through to commissioning.

"Energy availability represents the primary bottleneck facing European AI infrastructure," said Halil Mirakhmedov, CEO of SWI Compute. "Having spent six years acquiring grid access, SWI Group is now deploying these power resources into dedicated NVIDIA AI factories through SWI Compute. Just two months after joining the NVIDIA Cloud Partner program, our team secured approximately USD 1 billion in advanced hardware orders and executed initial client contracts. The market continues to surpass available capacity, and we are rapidly expanding our footprint to fulfill this requirement."

The company states that the power is contracted and the systems are on order and that its advantage lies in building AI cloud infrastructure on the power foundation its parent already controls.

"We started investing in land, power, and shell in 2020. SWI Compute is the final piece, providing fully integrated infrastructure for NVIDIA AI factories," the company stated, adding that SWI Group is now a transatlantic, vertically integrated digital infrastructure company, from the grid connection to the GPU.

Commercial Traction Before the Public Debut

The October 26, 2026 emergence from stealth is not a cold start. SWI Compute, a Preferred NVIDIA Cloud Partner in August 2026, has placed orders for approximately USD 1 billion of NVIDIA systems and has finalized contracts with its first customers.

That first customer is a US-based AI inference platform that has contracted capacity.

Building to NVIDIA Reference Designs

Every SWI Compute site is built to NVIDIA reference architectures. Going forward, the company will design, build, and operate its AI factories using the full-stack NVIDIA DSX AI Factory Platform, which codesigns compute, networking, power, and cooling as one integrated system. Every new site from 2027, beginning with the UK campus, will follow the NVIDIA Vera Rubin DSX AI Factory reference design.

According to the company, on NVIDIA Vera Rubin NVL72, DSX can enable up to 40% more GPU capacity within the same power budget. The company frames the economics of AI factories around three factors: how many tokens a facility produces per megawatt, how many years it keeps producing them, and how many kinds of work it can take on. Continuous software optimization is intended to keep installed systems earning for years after they ship.

The same infrastructure is designed to run every type of AI across every phase, from pretraining to agentic inference, alongside simulation, data processing, and scientific computing, capacity the company presents as staying current for customers and staying productive for SWI Group.

"AI factories are essential infrastructure that turn regional energy into intelligence and economic opportunity," said Nico Caprez, Vice President, Global AI Infrastructure Growth at NVIDIA. "SWI Compute is putting Europe's energy to work for the ecosystem of AI natives, labs, universities, and enterprises. Built on NVIDIA reference architectures and adopting NVIDIA DSX for its next generation of AI factories, SWI Compute is building infrastructure that is productive, durable, and fungible, able to serve new customers and workloads and keep generating value for years to come."

Who the Capacity Is For

According to SWI Compute, Europe has the researchers, founders, and enterprises capable of building frontier AI, but much of that building has taken place on capacity located outside Europe.

What capacity does exist on the continent has been committed first to global hyperscalers and frontier labs, buyers able to sign multi-year contracts at scale. The buyers with the most urgent need, AI natives with frontier ambitions and startup balance sheets, face the hardest time securing capacity.

The company says it is built for this segment, offering dedicated and on-demand access to NVIDIA AI factories for Europe's AI natives, AI labs, and enterprises. The infrastructure is positioned close to users and data and sits under European jurisdiction so that AI can be trained, fine-tuned, and served where it is made.

While SWI Compute will deploy globally, it states that its strongest presence and deployments will be in Europe. The launch positions SWI Group's existing energy infrastructure as the foundation for what the company calls a next-generation AI cloud platform, with the UK AI factory marking the start of a broader expansion strategy across the continent.