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

GPU/TPU/LPU: understand the differences and use cases. This no‑nonsense guide clarifies what each accelerator does best, when to choose one over the others, and how to align your AI stack with performance, latency, and sustainability goals.   In brief GPUs are general‑purpose accelerators with the richest ecosystem—great for training and versatile inference. TPUs specialize in tensor math for deep learning—excellent for large‑scale training and batched inference on Google Clo