Physical security is still the first firewall of a data center. This complete 2026 guide explains the key physical security controls that protect data halls, network rooms, critical building systems (OT), and on-prem or colocation infrastructure—from perimeter defenses and mantraps to visitor governance, CCTV design, and evidence-ready audit trails. It’s written for CISOs, facility managers, IT leaders, and compliance owners who want a practical, risk-based blueprint (not the

Data centers can’t be managed in the dark. a clear KPI framework , ( alerting that stays actionable , and ( a DCIM platform that unifies facilities + IT telemetry into a single, reliable supervision layer Score Group — Là où l’efficacité embrasse l’innovation… We help organizations align Energy , Digital , and New Tech so monitoring becomes a lever for performance and sustainability—not just another dashboard. Why data center monitoring looks different in 2026 Three forces

Resilience starts with power. In 2026, data center leaders are balancing two pressures that now move together: infrastructure resilience (keeping services available despite incidents) and energy strategy (securing, optimizing, and reporting power use as constraints tighten). This article explains what “resilience + energy” really means in practice—across design, operations, compliance, and digital governance—so you can build facilities that are both robust and efficient .

Energy efficiency is now a data center capacity strategy. If you’re searching for a Data Center Energy Optimization 2026 Action Plan , the goal is simple: measure accurately, optimize without risking uptime, and build a repeatable operating model that lowers overhead energy (cooling, fans, power chain losses) while keeping IT performance predictable. In 2026, this matters more than ever as AI and high-density workloads push power and cooling systems to their limits. This art

Data centers are under unprecedented energy pressure in 2026. If you’re looking for practical levers to cut data center electricity demand , cooling water consumption , and carbon emissions , the good news is that many improvements are available right now—provided you measure the right KPIs, optimize both IT and facility layers, and connect energy strategy with digital operations. At Score Group , our mission is to support organizations in their energy and digital transform

Downtime is expensive. If you want a data center disaster recovery plan (DRP) you can truly trust, you must go beyond documentation and prove recovery works—repeatedly, predictably, and safely. The most effective way to do that is to automate failover tests : orchestrating recovery steps, validating applications end-to-end, collecting evidence, and making testing frequent enough to keep pace with change. In this guide, you’ll learn how to structure a DR plan for a data cente

DCIM has become the control tower of the modern data center. In 2026, “ Data Center DCIM managing capacity, energy and risks ” is no longer a niche operational topic—it is how operators keep services available, meet sustainability expectations, and plan densification (AI/HPC, edge, hybrid) without losing control. This article explains what DCIM should cover in 2026, which KPIs matter, how to connect DCIM with energy management and cybersecurity, and how to build a pragmatic d

High GPU density breaks “business-as-usual” cooling. If you are planning AI training or inference infrastructure, the real challenge behind Data Center Cooling Reliability and GPU Density is not only removing more heat—it’s removing it predictably , under peak load, during failures, and through maintenance windows, without performance throttling or outages. This article explains the engineering trade-offs, the reliability risks (air and liquid cooling), and a practical appro

Cloud starts with architecture. A “data center cloud” is not just a place where servers run—it’s an operating model that turns infrastructure (compute, storage, networking, security, and facilities) into standardized, automated, measurable services. In this guide, you’ll learn how a cloud-ready data center is built, what components matter most, and which real-world use cases benefit from this architecture—without getting lost in vendor jargon. Score Group — Where efficiency

Automation is now a data center survival skill. In 2026, automated data center operations sit at the intersection of three non-negotiables: availability , cybersecurity , and energy performance . AI-heavy workloads, tighter reporting obligations, and rising operational complexity are pushing operators to move beyond “scripts and dashboards” toward closed-loop operations: measure, decide, act, verify—safely and efficiently. At Score Group — “Là où l’efficacité embrasse l’inno

Cloud sovereignty in Europe is entering a new phase. After the NIS2 Directive came into force in October 2024, many organisations are asking what the next big step will be – sometimes dubbed, a bit loosely, the “EU Cloud Sovereignty Act”. While no single law with that title exists today, the EU is clearly building a de facto cloud sovereignty framework through NIS2, the Data Act , forthcoming Cloud & AI Development Act , the Cloud Sovereignty Framework and the EU Cybersecu

Why Smart Batteries 4.0 Are Becoming Critical for Data Centers Data centers cannot afford to go dark. Power interruptions, grid instabilities and rising energy costs are now everyday challenges for operators. At the same time, regulatory and corporate pressure to reduce carbon emissions is accelerating. Intelligent, connected “Battery 4.0” systems give data centers a new way to secure uptime, optimize energy use and support sustainability objectives. At Score Group, we bring

Urban nano data centers are reshaping how and where cloud resources are delivered. As AI, IoT and 5G generate unprecedented data volumes, organisations are reaching the limits of a model based solely on distant hyperscale data centers. Latency-sensitive applications, regulatory constraints and energy pressure are all pushing compute back into cities, closer to users and devices. In this context, compact, highly efficient “urban nano data centers” – essentially micro data cent

Reinventing IT operations with AI and energy intelligence AI-powered IT Operations AIOps² is about turning noisy, reactive IT into a proactive, self-optimising engine for your business. Today’s infrastructure is hybrid, distributed and always-on. A single outage can cost hundreds of thousands of dollars per hour when critical systems go down, especially for large enterprises and digital-native businesses. erwoodgroup.com At the same time, data centres already account for rou

Why AI infrastructure will look very different by 2026 AI infrastructure is entering a new phase. By 2026, next‑generation GPUs, optical interconnects and immersive cooling will reshape how data centers are designed, powered and operated. The acceleration of generative AI and large language models is driving unprecedented compute density. High‑end accelerators such as NVIDIA H100 class GPUs already reach up to 700 W of thermal design power (TDP) per device, with 4–8 GPUs per

Introducing GreenOps at the crossroads of IT and energy GreenOps is reshaping how organisations think about both IT and energy. As digital infrastructures (cloud, data centers, networks, IoT) consume more electricity and become critical for every business, the environmental and energy impact of IT can no longer be treated as a side topic. GreenOps is the emerging discipline that connects IT operations, energy management and sustainability, with one objective: operate digital

From Centralised Cloud To Distributed, Multi‑Edge Architectures Distributed cloud is reshaping how digital and industrial infrastructures are designed and operated. After a decade of hybrid architectures mixing on‑premises and public cloud, organisations are now extending cloud services closer to where data is produced — across factories, campuses, vehicles and smart cities. This evolution marks the shift into the multi‑edge era , where hundreds or thousands of mini “cloud zo

In 2025, AI infrastructure shifts from “more power” to “managed power,” reshaping server, rack and facility design so performance, efficiency and resiliency advance together. This article explains what’s changing, why it matters, and how a pragmatic, integrated approach helps you deploy AI at scale without losing control of energy, cooling or uptime. At a glance AI servers now treat power as a first-class constraint: design from rack power budgets down to workload caps. Liq

DLC—when liquid cooling becomes a lever for performance and sustainability. This article explains how Direct Liquid Cooling can unlock higher compute density, lower energy use, and practical pathways to heat reuse—all without compromising reliability or maintainability. At a glance Direct Liquid Cooling (DLC) enables high-density AI/HPC workloads while reducing cooling energy, fan noise and thermal hotspots. Warm-water loops and heat reuse turn “waste heat” into a resource,

Mesurer la performance énergétique d’un cluster IA au-delà du PUE classique — this article shows exactly how. AI infrastructure pushes power and cooling to their limits, and Power Usage Effectiveness (PUE) alone no longer tells you if your compute is energy-efficient. In this guide, we explain practical, decision-ready metrics for AI clusters—from tokens-per-kWh and accelerator utilization to carbon- and water-aware KPIs—plus how to instrument, analyze, and act on them. At Sc