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

L’infrastructure du futur éthique efficiente et prête pour l’intelligence artificielle. In 2025, that means building foundations that are secure, low‑carbon, resilient, and capable of powering real AI outcomes—without compromising ethics or budgets. At Score Group, we bridge energy systems, digital infrastructure and new technologies to help organizations design, deploy and operate this next-generation stack. Through our Noor Energy, Noor ITS and Noor Technology divisions, we

L’architecture hyperconvergée face aux exigences du calcul intensif: can hyperconverged infrastructure really satisfy HPC workloads in 2025? If you’re weighing hyperconverged infrastructure (HCI) for high‑performance computing (HPC), the short answer is: yes, in specific patterns—and no, for the most latency‑sensitive, tightly coupled jobs. This article clarifies where HCI fits, where it struggles, and how hybrid designs can align HPC needs with the operational simplicity of

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