GPU-as-a-Service is democratizing access to high‑performance computing. It puts cutting-edge GPUs in the hands of any team—on demand—so you can train AI models, run simulations, render media, and accelerate analytics without owning the hardware.   In brief On-demand GPUs remove CapEx barriers and speed up time-to-value for AI, HPC, and data-intensive workloads. Elastic capacity and right-sizing help align compute to actual demand across training, inference, and simulations. A

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

Cybersecurity and AI: when LPUs become the brain of proactive defense. This article explains how Language Processing Units (LPUs) enable real-time detection, response and resilience—so security teams can shift from reactive alert fatigue to predictive, automated defense.   At a glance LPUs deliver ultra‑low‑latency AI inference, ideal for inline detection, triage, and autonomous response at scale. Proactive defense hinges on fast, explainable decisions across logs, network tr

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