AI is transforming how organisations use energy. Predictive energy management is the next step: instead of reacting to consumption, artificial intelligence anticipates demand, adjusts systems in advance and orchestrates energy flows in real time. In other words, it is predictive energy management — when AI pilots energy before you even need it . For companies facing rising energy demand, decarbonisation targets and growing digital complexity, this approach is becoming a strat

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

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