search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
• • • DATA CENTRES • • •


MODULAR DATA CENTRES TO ENABLE INNOVATION ON THE DIGITAL BATTLEFIELD


The speed and sophistication of digital operations increasingly defines the modern battlefield. Autonomous systems processing real-time sensor data, AI-enhanced intelligence analysis at the tactical edge and machine learning-driven decision support all present defence organisations with an unprecedented computing challenge


By Anthony Soares, Defence Lead Consultant, EfficiencyIT


hat edge is delivering enterprise-grade processing power in environments where traditional infrastructure cannot reach. Despite ambitious strategies and substantial investments in artificial intelligence, the UK defence sector confronts a fundamental bottleneck. The primary obstacle is infrastructure. Without secure, deployable, high-density computing environments specifically engineered for AI workloads, even the most advanced military technologies remain constrained to fixed installations.


T


The AI Infrastructure Challenge Modern AI applications in defence present a paradox that conventional data centre design cannot resolve. Machine learning models for autonomous vehicle navigation, real-time threat


detection and battlefield awareness require computational density typically four to eight times that of traditional IT equipment. These applications demand near-instantaneous processing, with latency measured in milliseconds, to maintain operational effectiveness in dynamic combat environments. Consider a forward-deployed autonomous drone swarm. Each vehicle must process multiple sensor streams simultaneously, correlate data with other platforms, execute navigation in GPS-denied environments and identify targets, all in real time. Routing this processing through distant data centres introduces unacceptable latency. The computing resources must be at the tactical edge, yet traditional infrastructure requires stable power grids, controlled environments and security perimeters incompatible with forward operations.


Why are traditional


approaches falling short? Legacy defence IT infrastructure was designed for conventional computing workloads operating at predictable power densities within permanent facilities. Standard defence data centres typically provide 5-8kW per rack, but modern AI accelerators, including GPUs and purpose-built AI processors, can demand 30-50kW per rack. Retrofitting existing facilities for this density requires a comprehensive redesign of power distribution, cooling systems and backup power, a process measured in years and millions of pounds. Beyond power constraints, traditional data centre construction follows an 18 to 36 month cycle spanning initial planning through final commissioning. In rapidly evolving operational environments, this timeline renders infrastructure obsolete before it becomes operational. Technologies advance, mission requirements shift and threat landscapes transform faster than brick-and-mortar construction can respond. Fixed facilities, however sophisticated, cannot follow forces into the field, creating a persistent gap between where AI capabilities are needed and where computing infrastructure exists. Modular infrastructure engineered for the edge Military-grade modular systems represent sophisticated, factory-engineered infrastructure specifically designed for defence applications. Purpose-built power distribution systems deliver the high densities required by AI accelerators. Advanced uninterruptible power supplies specifically designed for GPU and AI processor loads provide clean, stable power despite grid fluctuations, while integrated battery storage and generator connectivity ensure continuous operation during extended outages. AI processors generate extraordinary heat loads that require precision thermal management. Modular systems employ hot aisle containment, liquid cooling loops and advanced airflow management to maintain optimal operating temperatures across the full spectrum of environmental conditions. These systems are tested across the full range of operational environments before deployment, ensuring reliability regardless of external conditions.


26 ELECTRICAL ENGINEERING • NOVEMBER 2025 electricalengineeringmagazine.co.uk


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52