Spring 2025 marked the full operationalization of the EuroHPC Joint Undertaking’s exascale supercomputing network—including JUPITER, Lumi, MeluXina (Luxembourg), and associated AI Factories across Belgium and the Benelux region.

Sovereign Compute Power: European researchers and enterprises now have access to GPU clusters operating on 100% renewable energy, training open European multilingual foundation models without depending exclusively on overseas hyperscaler clusters.

The Hybrid Cloud + EuroHPC Orchestration Model

Modern AI workloads use cloud-native Kubernetes (via Slurm-Kubernetes operators) to seamlessly burst from enterprise cloud environments into EuroHPC exascale clusters for heavy pre-training runs.

graph TD
    CloudApp[Enterprise Cloud API / App] --> SlurmOperator[Slurm Kubernetes Connector]
    SlurmOperator --> EuroHPC[EuroHPC MeluXina / JUPITER Node Cluster]
    EuroHPC --> GPU1[NVIDIA H200 / RISC-V Accelerator Array]
    EuroHPC --> GPU2[Liquid-Cooled Compute Blades]
    EuroHPC --> WasteHeat[District Heating Network / Datacenter Heat Reuse]

Slurm Job Submission Script for Distributed AI Fine-Tuning

#!/bin/bash
#SBATCH --job-name=euro_sovereign_llm
#SBATCH --nodes=8
#SBATCH --ntasks-per-node=4
#SBATCH --gres=gpu:4
#SBATCH --time=12:00:00
#SBATCH --partition=gpu-exascale

echo "Starting distributed training on EuroHPC node cluster..."
module load PyTorch/2.4.0-CUDA-12.2

srun python3 -m torch.distributed.run \
    --nnodes=8 \
    --nproc_per_node=4 \
    train_sovereign_model.py \
    --dataset_path=/p/scratch/euro_llm/dataset_multilingual_eu \
    --output_dir=/p/scratch/euro_llm/checkpoints

Media & Visual Concept

  • Cover Image: Futuristic, glowing liquid-cooled supercomputer blade racks inside an eco-friendly architectural datacenter by a canal.
  • Diagram: Hybrid Cloud to EuroHPC Bursting Architecture (Mermaid diagram above).