Exploring Modern Data Centre Design

Siemens develops AI data centre reference architecture

German multinational technology company Siemens has worked with NVIDIA and Fluence to develop a reference architecture aligned with NVIDIA DSX Vera Rubin, providing an electrical, power, and controls framework for hyperscalers, colocation providers, and cloud infrastructure operators deploying AI data centres. As AI workloads continue to drive demand for larger-scale infrastructure, platforms such as NVIDIA Vera Rubin NVL72 are increasing requirements for power and cooling. Data centre operators must also address challenges including site selection, grid connectivity, capital expenditure, and deployment times while integrating emerging technologies. The reference design, as a response to this, is based on a 136MW facility with a 100MW IT load. It covers the electrical infrastructure from the utility connection at 34.5kV through medium-voltage distribution, modular low-voltage power blocks, and rack-level interfaces. The architecture is designed to meet Tier III concurrent maintainability requirements, allowing individual components to be taken out of service without affecting IT operations. The modular design also allows capacity to be added in phases, supporting deployments ranging from 10s of megawatts to 100s of megawatts without requiring a complete redesign. The reference architecture incorporates electrical design parameters aligned with nVent and NVIDIA requirements, and a future update is expected to add advanced thermal management guidance. Sara Zawoyski, President of nVent Systems Protection, says, "nVent has deployed more than two gigawatts of liquid cooling capacity globally. That operational experience is what allows us to help partners like Siemens translate reference architectures into deployable thermal solutions that perform reliably from day one at this scale. "Platforms like NVIDIA Vera Rubin NVL72 are pushing rack densities well beyond what traditional air-cooled infrastructure can support." Supporting large-scale AI infrastructure According to Siemens, the architecture is designed to support high-density AI deployments while maintaining compatibility with future IT platforms and changing energy requirements. It also supports NVIDIA DSX MaxLPS and is intended to help operators maximise computing output within fixed power limits. Ruth Gratzke, President of Siemens Smart Infrastructure USA, states, "Siemens’ deep expertise in power systems and controls engineering, modular infrastructure, protection, and industrialised delivery is really evident in this latest joint reference architecture design. "Our pre-engineered, prefabricated, and factory-tested medium- and low-voltage skids help minimise on-site construction complexity, shorten commissioning cycles, and improve quality, safety, and repeatability across deployments. "Further, our automation and digital twin strategies deployed in this reference help ensure that facilities are brought online faster and with greater potential to produce tokens at scale." The design also incorporates battery energy storage technology from Fluence to provide additional operational flexibility and resilience. Jeff Monday, Chief Growth Officer at Fluence, suggests, "Our Smartstack platform is central to this new architecture, transforming the grid into an accelerator for compute. "By providing essential capabilities like voltage and frequency ride through, black start, grid demand response, and AI load smoothing, we are enabling our customers to build the AI factories of the future faster and more reliably." The architecture also includes integration with a centralised data centre management platform, providing visibility across power, cooling, and compute infrastructure through a single management interface. For more from Siemens, click here.

Zumtobel upgrades lighting at London data centre

Zumtobel, an Austrian company specialising in professional indoor and outdoor lighting, has completed a lighting upgrade at Global Switch’s London East data centre campus in Docklands, supporting the site’s ongoing refurbishment programme for AI and high-performance computing (HPC) workloads. The project covered multiple floors across the facility, including data halls, plant areas, offices, and a liquid cooling demonstration suite. The refurbishment programme is focused on improving flexibility, operational resilience, and energy efficiency as demand for AI-ready infrastructure continues to grow. Zumtobel worked alongside consultants including Hilson Moran, Burns & McDonnell, and AFK Studios, while Datalec Precision Installations carried out installation works. Lighting designed for AI-ready infrastructure The lighting installation was designed to improve visibility within the high-density data halls while supporting energy efficiency and long-term operational requirements. Zumtobel deployed its TECTON continuous-row lighting system across the halls, using split-lens optics to improve vertical illuminance at rack level for maintenance and operational tasks. Emergency lighting was integrated with the eBOX monitoring platform, providing automated testing and reporting functions designed for mission-critical environments. Plant areas, offices, and shared spaces were fitted with AMPHIBIA luminaires, selected for durability in technical environments, while the LITECOM lighting management platform enables centralised monitoring and control. Future refurbishment phases on levels eight and nine are expected to include TECTON II lighting, which supports faster installation through a modular 'plug-and-play' design. Ken Knight, Head of Data Centres - UK & Ireland at Zumtobel Group, comments, “Data centre environments place very specific demands on lighting, from vertical illuminance at rack level to reliability and energy efficiency. "Our role was to translate those requirements into a scalable solution that could be implemented across multiple floors while supporting Global Switch’s ongoing expansion and innovation strategy.” Matt Perrier Flint, Director - UK & Ireland at DPI, adds, “Delivering a project of this scale required close coordination between all parties. The modular design of the Zumtobel lighting system simplified installation and helped maintain programme certainty, while the collaborative approach ensured that technical requirements were clearly understood at every stage.” Lighting a liquid cooling demonstration suite Level 10 of the facility includes a liquid cooling demonstration suite designed by AFK Studios, showcasing technologies intended to support higher-density AI and HPC deployments. The lighting scheme was developed to support visibility, operational safety, and flexibility within the technical demonstration environment. According to Global Switch, the upgraded lighting infrastructure supports safer rack maintenance, lower energy consumption through LED technology and intelligent controls, simplified future upgrades, and improved emergency lighting monitoring. Derek Allen, Group Operations Director at Global Switch, notes, “Across our global portfolio, operational resilience and flexibility are fundamental. The lighting strategy implemented at our London data centre supports safe, efficient operations while giving us the adaptability required to meet evolving customer demands. "It forms part of the wider infrastructure platform that enables us to support increasingly complex AI and high-performance computing deployments.” Emily Clark, Global Switch, explains, “As our London data centre continues to evolve to support the demands of the most powerful AI and high-performance workloads, it was important that the supporting infrastructure could match that pace of innovation. "The lighting solution delivered by Zumtobel provides the performance, flexibility, and reliability we require across both operational data halls and demonstration spaces.” For more from Zumtobel, click here.

Schneider, GreenScale partner on new operational architectures

Global energy technology company Schneider Electric has partnered with GreenScale, a developer of hyperscale data centre campuses, to support the development of data centre sites across Europe, focusing on AI-ready infrastructure and operational design. Under the agreement, Schneider Electric’s Secure Power and Services divisions will provide engineering and design consultancy, contributing to the development of new operational architectures for data centres. The collaboration combines Schneider Electric’s infrastructure expertise with GreenScale’s experience in data centre operations, software, and digital twin technology. The aim is to improve deployment timelines, operational predictability, and maintenance processes through the use of automation and data-driven tools. With application in mind, GreenScale is developing data centres in regions with available power and renewable energy potential, with projects intended to support long-term regional investment and infrastructure growth. A focus on automation and operational efficiency The partnership includes the use of predictive analytics, condition-based maintenance, and digital twin integration to support performance and reliability across sites. These approaches are intended to reduce operational risk, improve maintenance planning, and support consistent performance, particularly in remote or emerging locations. The companies are also working on reference architectures designed to incorporate automation and monitoring from the outset, enabling improved visibility and control across infrastructure systems. Dan Thomas, CEO at GreenScale, says, "As demand for AI, Cloud and HPC accelerates in Europe, data centre operators must rethink how facilities are designed and managed." Thierry Chamayou, Vice President, Cloud and Service Providers, Europe at Schneider Electric, adds, "By combining expertise from our Secure Power and Services divisions, we are helping to create a resilient, AI-ready infrastructure platform." The collaboration also includes the integration of monitoring and control systems that connect physical infrastructure with digital platforms, supporting high-density AI and cloud workloads. For more from Schneider Electric, click here.

Design strategies for efficient, high-performance data centres

The rapid expansion of artificial intelligence workloads is placing unprecedented demands on data centre infrastructure. As computer densities increase and operational expectations tighten, the need to balance performance with energy efficiency and carbon reduction has become more urgent. This shift is driving a re-evaluation of how data centres are designed, particularly in relation to cooling strategies and overall resource use. Data centres are now a critical component of global infrastructure, supporting cloud services, digital platforms, and AI applications. With increasing digitalisation, energy consumption associated with these facilities continues to rise. In the UK and globally, regulatory and market pressures are also evolving, with greater emphasis on energy performance, carbon reporting, and long-term sustainability targets. Within this context, various industry reports are suggesting that: • Data centres are estimated to account for approximately 1–1.5% of global electricity consumption• High-density AI workloads can exceed 30–80 kW per rack, significantly increasing cooling demand• Leading facilities are targeting power usage effectiveness (PUE) values of 1.2 or lower Efficient cooling system strategies As computational loads increase, cooling systems are under growing pressure to maintain stable operating conditions without excessive energy use. Traditional approaches that rely heavily on mechanical cooling are becoming less viable due to their high energy intensity. This challenge affects operators, developers, and designers, particularly as expectations around efficiency and environmental performance continue to rise. BSE|3D, a UK building services engineering and consultancy practice, says it works with organisations navigating these challenges by applying a performance-led design approach from the earliest project stages. The company notes that it has observed that early integration of simulation tools allows for more effective alignment between building form, system design, and operational performance. Solutions that focus on reducing cooling demand at source while optimising system efficiency can significantly improve outcomes. This includes evaluating environmental conditions, refining building parameters, and developing strategies that prioritise low-energy operation. A key approach involves enabling a cooling profile where approximately 70% of annual demand can be met through low-energy systems such as economisation and adiabatic processes, with mechanical systems supporting peak conditions and operational resilience. This reduces reliance on continuous compressor use and supports improved overall performance. Kriti Gupta, Sustainability Consultant at BSE|3D, explains, “As data centre loads continue to increase, the industry needs to move beyond conventional cooling approaches. By prioritising low-energy strategies and validating them through simulation, it is possible to reduce energy demand while maintaining performance and resilience. Early-stage design decisions play a critical role in achieving this balance.” Data centres are expected to play an increasingly significant role in supporting digital infrastructure. As their impact grows, so too does the importance of designing them in a way that responds to both operational requirements and environmental considerations.

SambaNova, Intel unveil hybrid AI platform

SambaNova, a company specialising in AI hardware and software, and American multinational technology company Intel have announced a new hybrid-chip platform designed to address data centre capacity constraints linked to AI workloads. The architecture combines GPUs for prefill processing, Intel Xeon 6 processors for system control and workload execution, and SambaNova’s reconfigurable dataflow units (RDUs) for inference decoding. The platform is expected to be available in the second half of 2026 for enterprise, cloud, and sovereign AI deployments. The design targets agent-based AI workloads, which require coordinated processing across multiple stages, including data input, model inference, and execution of external tools and applications. Hybrid approach to AI infrastructure The platform reflects a shift towards heterogeneous computing in data centres, where different processor types are used for specific tasks rather than relying solely on GPUs. In this model, GPUs handle the initial processing of prompts, while RDUs manage high-throughput inference tasks. Xeon 6 processors act as both the host system and execution layer, coordinating workloads, running code, and managing interactions with external systems. Rodrigo Liang, CEO and co-founder of SambaNova Systems, explains, “Agentic AI is moving into production, and the winning pattern we’re seeing is GPUs to start the job, Intel Xeon 6 to run it, and SambaNova RDUs to finish it fast. "Together with Intel, we’re giving customers a blueprint they can deploy in existing air-cooled data centres, with broad x86 coverage for the coding agents and tools they already use today.” Kevork Kechichian, Executive Vice President and General Manager of the Data Center Group at Intel, adds, “The data centre software ecosystem is built on x86 and it runs on Xeon, providing a mature, proven foundation that developers, enterprises, and cloud providers rely on at scale. "Workloads of the future will require a heterogeneous mix of computing, and this collaboration with SambaNova delivers a cost-efficient, high-performance inference architecture designed to meet customer needs at scale, powered by Xeon 6.” The companies state that the approach is intended to support increasing demand for AI inference, particularly as agent-based systems move from testing into production environments. Additional industry participants highlighted the growing need for scalable infrastructure to support coding agents and similar workloads, which rely on CPUs for execution alongside accelerators for inference. The announcement marks an expansion of the existing collaboration between SambaNova and Intel, with a focus on enabling large-scale AI deployment across data centre environments.

Black & White Engineering makes senior tech hires

Data centre design consultancy Black & White Engineering has appointed Charlie Bater as Chief Technical Officer and Paul Cook as Global Director of Technology & Innovation, expanding its senior technical leadership team. The appointments come as the company continues to grow internationally, now operating across 24 locations with more than 1,000 employees. The move, the company says, reflects increasing demand for integrated, data-led engineering approaches across data centre and critical infrastructure projects. Charlie Bater takes on the newly created CTO role, having spent eight years with the business, most recently as Global Datacentre Director. During that time, he has supported regional expansion, technical standards, and project delivery consistency. The creation of the CTO role forms part of a wider update to the company’s technical leadership structure, aimed at supporting growth and strengthening engineering capability. Paul Cook joins the senior leadership team as Global Director of Technology & Innovation, working alongside Charlie Bater to develop a more structured approach to technology and innovation across projects. He brings experience across sectors including utilities, ports, pharmaceutical research and development, and healthcare. Prior to joining Black & White Engineering, he worked at Yondr Group and ISG in roles focused on technology, research and development, and digital integration. A focus on technical leadership and innovation Charlie Bater says, “Stepping into the CTO role is an incredible opportunity, and I’m grateful for the trust placed in me. Having grown with the business over the past seven years, I’ve seen first hand the strength of our people and the ambition that drives Black & White. “My focus is to build on our position as a leading data centre design consultancy by further enabling a technical function that drives innovation, supports our teams, and ensures we continue delivering high-quality solutions for our clients across global markets.” The appointments are part of the continued development of the company’s Global Engineering Team, a central function that supports project teams, technical direction, and consistency across regions. Paul Cook adds, “A consistent theme throughout my career has been understanding how complex environments operate in practice and how better integration of infrastructure, digital capability, and operational processes can improve performance and resilience. “At Black & White, the opportunity is to build a Technology and Innovation capability that is practical and supports how projects are delivered day to day, while also ensuring that buildings are designed to provide operational insight and enable effective performance over their lifecycle, supported by a structured research and development framework that ensures innovation is captured and applied in a measurable way. That means being clear about where technology adds value, improving how data is used, and strengthening decision-making from the earliest stages of a project.” The company says its Global Engineering Team will continue to support early-stage technical planning, bid development, and standardisation across projects, with a focus on consistency, efficiency, and long-term performance. For more from Black & White Engineering, click here.

atNorth data centre heat reuse powers Finnish store

atNorth, a Nordic high-density data centre provider, has begun supplying recycled heat from its FIN02 data centre in Espoo, Finland, to a nearby retail store operated by Kesko Corporation. The heat reuse system became operational in November 2025 and captures surplus heat generated by the data centre, using it to provide most of the heating required by the adjacent store. The approach reduces reliance on district heating and lowers emissions for both organisations. For Kesko, the initiative supports its target to reduce Scope 1 and Scope 2 emissions by 58.8%. The recovered heat is expected to cut emissions linked to district heating by around 200 tonnes of CO₂ equivalent per year, representing approximately 0.9% of its district heating emissions. Antti Kokkonen, Director of Energy at Kesko, comments, “Reducing emissions from the heating of our properties is a key priority within our sustainability strategy. “Through this collaboration with atNorth, we are able to significantly cut emissions at one of our stores while demonstrating how innovative partnerships can accelerate the transition to lower-carbon operations.” Supporting local energy systems through heat reuse The project reflects a wider trend of integrating data centres into local energy systems by repurposing excess heat. By capturing waste heat, the FIN02 facility improves overall energy efficiency while contributing to Finland’s circular economy objectives. Erling Gudmundsson, COO of atNorth, notes, “As demand for AI-ready digital infrastructure continues to grow, it is essential that data centres scale responsibly. “This project demonstrates how data centres can become active contributors to local energy systems. By recycling excess heat, we can reduce our client’s environmental footprint while supporting our partners’ sustainability goals and delivering tangible benefits to the surrounding community.” The FIN02 site forms part of atNorth’s wider Nordic expansion strategy. The company is also involved in similar heat reuse projects, including a greenhouse development in Iceland and partnerships with Vestforbrænding in Denmark and Stockholm Exergi in Sweden to supply district heating networks. For more from atNorth, click here.

Schneider, NVIDIA to advance AI data centre design

Global energy technology company Schneider Electric has expanded its collaboration with NVIDIA to develop validated designs and digital tools for large-scale AI data centres. Working alongside AVEVA, the companies outlined new developments in designing, simulating, building, and operating AI infrastructure during NVIDIA GTC in San Jose, USA. These include a reference design for NVIDIA’s latest rack-scale systems, integration of digital twin capabilities, and testing of AI-driven tools for managing data centre alarms. The announcements focus on supporting large-scale AI deployments, sometimes referred to as “AI factories”, with an emphasis on power, cooling, and operational efficiency. Reference design and digital twin integration A new reference design has been developed for NVIDIA’s Vera Rubin NVL72 rack architecture, covering power distribution and cooling requirements. The design supports higher supply voltage, improved thermal efficiency, and clustered rack configurations for AI workloads. It has been validated using electrical system and airflow modelling tools to assess performance before deployment. In parallel, AVEVA has introduced a lifecycle digital twin architecture integrated within the NVIDIA Omniverse environment. This enables simulation of power, cooling, and operational conditions, allowing operators to test and refine designs prior to construction. According to the companies, this approach is intended to reduce design cycles, improve accuracy, and support more efficient deployment of AI infrastructure. Manish Kumar, Executive Vice President, Secure Power & Data Centers at Schneider Electric, comments, “As AI workloads scale in both size and complexity, the margin for error in data centre design becomes incredibly small. “Delivering AI at scale requires tightly integrated electrical, cooling, and digital architectures that can support both unprecedented performance demands while maintaining peak energy efficiency. "By combining advanced software, digital twins, and validated reference designs, operators can simulate and optimise infrastructure before a single rack is deployed. This approach reduces risk, accelerates deployment, and ensures the efficiency and resilience needed to power the next generation of AI factories.” Vladimir Troy, Vice President of AI Infrastructure at NVIDIA, adds, “Gigawatt-scale AI factories demand a fundamentally new class of energy-efficient and highly predictable infrastructure. “Together, NVIDIA and Schneider Electric are providing the power, cooling, and digital twin architectures needed to accelerate time-to-token for our customers worldwide.” AI-based alarm management testing Schneider Electric also confirmed testing of an AI-based alarm management capability using NVIDIA Nemotron models. The system analyses real-time data from multiple sources to identify root causes of issues and recommend corrective actions. The aim is to support data centre operators in resolving incidents more quickly and consistently, while reducing unnecessary maintenance activity. The latest developments build on ongoing collaboration between the companies, including work on digital twin environments, power system modelling, and support for higher-voltage data centre architectures. For more from Schneider Electric, click here.

Why DC-powered lighting matters for modern data centres

In this exclusive article for DCNN, Ton van de Wiel, Global Segment Manager, Intelligent Buildings at Signify, outlines why DC-powered LED lighting is emerging as a key consideration in making data centre infrastructure more efficient and resilient: Building resilience from the ground up The digital services that underpin modern economies – from media streaming to cloud computing – depend on a rapidly expanding global network of data centres. These facilities are not only critical to digital connectivity; they represent significant sources of employment, infrastructure investment, and tax revenue through construction and long-term operation. Today, data centre operators face a convergence of challenges. Capacity requirements are accelerating due to AI-driven workloads, energy prices are rising, and expectations around sustainability and carbon reduction are becoming more stringent. In response, the industry is re-examining its electrical infrastructure. Direct current (DC) power architectures, once limited to niche applications, are gaining traction as a foundation for higher efficiency and greater operational resilience. Within this shift, lighting – often treated as a peripheral system – can play a strategic role. DC-powered LED lighting combines high energy efficiency with relatively low implementation risk, making it an effective starting point for broader DC adoption. Beyond energy savings, lighting can also function as an intelligent layer within next-generation data centre infrastructure. How power architectures are changing Operating a data centre requires tight coordination between IT equipment, networking, cooling, security, and electrical distribution. Historically, alternating current (AC) has been the default for power distribution. However, as facilities' scale and power densities increase, electrical efficiency has become a primary design concern. Early facilities relied on 48V DC for backup systems – safe but capacity-constrained. This gave way to 230/277V AC distribution, followed by 380V DC for internal systems. Today, the extreme power demands of AI servers are driving another transition towards 650V DC and even 800V DC architectures. According to the Open Direct Current Alliance (ODCA), 650V DC represents the optimal level for building-wide distribution, balancing efficiency with safety, while organisations such as NVIDIA and the Open Compute Project are investigating 800V DC. Despite promising high-power IT loads, these higher voltages do not yet deliver the same system-wide efficiency benefits as a facility-level 650V DC approach. Outside the data centre sector, industrial sites are already deploying 650V DC systems to improve energy efficiency and resilience. One key advantage is the ability to capture regenerative energy from motor drives and robotics – energy that would otherwise be dissipated as heat. Because lighting is a continuous base load, it can readily absorb this recovered energy, reducing grid dependency and operating costs. Integrating lighting, motors, renewables, and storage on a shared DC grid reduces conversion losses, cuts copper usage through fewer conductors, and lowers transmission losses compared with 400V AC systems. When paired with solar PV and batteries, DC grids also improve self-consumption, backup capability, and flexible energy management. What’s driving the move? The momentum behind DC power in data centres is rooted in both engineering logic and economics: • Lower conversion losses — Conventional AC systems require multiple conversion steps, resulting in energy losses of up to 18%. • Alignment with IT equipment — Servers and GPUs operate natively on DC power. • Simpler renewable integration — Solar panels and battery systems produce DC, enabling more efficient connections. • Reduced system complexity — Fewer transformers and rectifiers mean simpler installation and improved reliability. • Preparedness for AI growth — Rising AI workloads are accelerating the shift towards DC-based power systems. DC power is therefore not just an alternative distribution method, but a pathway to smarter, more resilient infrastructure. Lighting as the first step Among all building systems, lighting is often the most practical candidate for early DC adoption. Connected LED lighting allows operators to pilot DC distribution with limited risk before extending it to mission-critical IT loads. The benefits are tangible: • Capital expenditure savings — DC lighting cables reduce copper use by 40%. Three-conductor DC cables (L+, L-, PE) can transmit the same power as five-conductor 400V three-phase AC cables. • Operational cost reductions — With only two current-carrying conductors, DC lighting avoids approximately 33% of cable losses compared with three-phase AC at the same current. • Improved resilience — DC lighting can operate directly from on-site solar generation or battery storage, strengthening microgrid performance during outages. DC-compatible luminaires and components are already commercially available. For example, Signify offers a 100W Xitanium LED driver designed for 620–750V DC operation, integrated into the Pacific LED Gen5 and Maxos Fusion luminaire families. These solutions achieve up to 165lm/W efficacy and can be paired with systems such as Signify Interact and Philips Dynalite. Driver-level efficiency can exceed 95%, with future potential to reach 200lm/W through ultra-high-efficiency LED modules. Sustainability and ESG outcomes DC-powered lighting supports measurable sustainability objectives: • Lower carbon emissions through reduced conversion losses and material usage • Support for certifications such as LEED Zero and BREEAM • Energy optimisation with connected lighting systems, cutting lighting energy use by up to 75% For hyperscalers like Amazon Web Services and Microsoft Azure, as well as colocation providers, these outcomes translate directly into stronger ESG reporting and progress towards carbon neutrality. DC lighting can also be implemented incrementally. Some facilities deploy rack-level DC lighting while retaining an AC backbone. Others adopt facility-wide DC grids that integrate lighting, renewables, storage, and IT infrastructure. In larger deployments, centralised emergency lighting connected to the DC backbone ensures continuous illumination during outages, reinforcing safety in mission-critical spaces. A strategic role for lighting As operators prepare for the next phase of digital expansion, DC-powered lighting offers a practical, high-impact entry point into efficient, renewable-ready DC infrastructure. Modern connected lighting systems extend far beyond illumination. With embedded sensors measuring occupancy, daylight, temperature, humidity, and air quality, luminaires form a dense, facility-wide sensing network without the need for additional hardware. Using open protocols such as DALI, BACnet, and MQTT, DC lighting networks integrate with building management systems and DCIM platforms, enabling predictive maintenance, enhanced operational intelligence, and optimised cooling and space utilisation. By simplifying cabling, reducing losses, and enabling intelligent energy management, DC lighting transforms illumination from a passive load into an active contributor to resilient, sustainable data centre operations.

Secure I.T. completes Qatar financial data centre design

Secure I.T. Environments (SITE), a UK design and build company for modular, containerised, and micro data centres, has completed a full server room design programme for a financial institution in the State of Qatar. The company delivered the engineering and layout documentation, enabling local procurement and installation. The project involved a new server room within an existing building footprint - covering approximately 110m² - and included a separate staging area to improve security and operational flow. The design includes eight IT racks and three communications racks, based on a target density of 6kW per IT rack. Power infrastructure features dual 50kW UPS systems operating in parallel, alongside additional UPS provision for communications equipment. Capacity, cooling, and resilience Cooling is based on an N+1 direct expansion configuration using three air conditioning units, providing around 80kW of sensible cooling capacity. The total estimated site load is approximately 145kVA within a 150kVA allowance. Environmental monitoring and fire protection systems were also incorporated, with humidity control and condensate management designed for high ambient temperatures. The design follows the ISO/IEC TS 22237 data centre facility standards and related international guidance covering power, environmental control, security, and management. Chris Wellfair, Projects Director at Secure I.T. Environments, comments, “For overseas data centre and server room projects, getting the design decisions right up front is what de-risks delivery. "This programme focused on producing a complete, buildable design for a controlled, resilient environment, with clear capacity assumptions, practical access planning, and standards-led engineering across power, cooling, fire, and security. "Having our work in demand internationally is a testament to the work of our design team.” For more from Secure I.T. Environments, click here.