Energy efficiency at the heart of high‑performance computing when GPUs meet adiabatic computing. This article explains how to cut HPC power and cooling overheads today with GPU-centric architectures while preparing for adiabatic and reversible techniques that could redefine the energy floor of computation tomorrow.   At a glance GPUs already deliver the highest performance-per-watt for parallel workloads; the next frontier is reducing data movement and heat. Adiabatic (revers

How waste heat from GPU servers can be recovered to heat buildings is no longer theory—it’s a practical path to decarbonise heat in 2025. With AI clusters now running at high duty cycles and embracing liquid cooling, the “waste” heat they produce can be captured, lifted in temperature if needed, and reused in space heating, domestic hot water, or district heating. In this guide, we explain the end-to-end chain—capture, upgrade, distribute—plus engineering, KPIs, and how Score

Hybrid cloud and digital sovereignty are the twin pillars of EU-ready IT. This article explains how to design, operate, and govern a hybrid architecture that meets European requirements while keeping control over data, workloads, and suppliers.   In brief Build a hybrid model that keeps sensitive data and keys in EU-controlled environments while using public cloud for elastic workloads. Align with GDPR, NIS2, Schrems II, the EU Data Act, and emerging EU cloud certification to

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

Intégrer le HPC et l’IA dans les datacenters existants contraintes/ROI/roadmap technique — this guide shows how to achieve it safely, efficiently, and with measurable ROI. High‑density compute and AI accelerators are pushing legacy data centers past their design envelopes. In this article, we map the constraints you must resolve, the ROI levers to quantify, and a pragmatic technical roadmap to retrofit GPU/HPC capacity inside existing facilities. As an integrator, Score Group

“L’adiabatique et le refroidissement liquide indispensables pour les fermes GPU.” In the age of AI-scale compute, adiabatic and liquid cooling have become the only credible path to safe, efficient, and scalable GPU farms. When you train large models or run HPC workloads, heat density and power transients overwhelm legacy air-only designs. In this guide, we explain when and how to use adiabatic systems and liquid cooling, why hybrid architectures outperform single-mode cooling

Vision and innovation at the intersection of energy and computing power. At Score Group, we turn this convergence into measurable performance, resilience, and sustainability—aligning your energy footprint with the computing capacity your business needs today and tomorrow. “Where efficiency meets innovation.” As an integrator, Score Group brings together three pillars—Energy, Digital, and New Tech—through our Noor divisions to design, deploy, and operate end‑to‑end solutions t

Smart buildings & energy efficiency: practical ways intelligent buildings cut energy use in 2025 while boosting comfort and ROI. From...

IT durable : green IT & efficacité énergétique — your 2025 playbook for cutting digital carbon, slashing energy costs, and...

The proven strategies and technologies to cut industrial energy bills and emissions in 2025. This guide explains how smart factories use...

Adiabatique & datacenters: the 2025 best practices to cool more with less energy and water. Adiabatic cooling leverages evaporation to...