Overview
This service provides on-demand access to high-performance computing resources for large-scale data analytics and AI workloads. It enables processing complex social and behavioural datasets, running advanced simulations, and training data-intensive models without investing in a dedicated infrastructure. The portal supports scalable computing environments, integrated tools, and controlled access to sensitive data, ensuring compliance with security and regulatory requirements.
By offering reliable, high-capacity computing services tailored to data-driven projects, the SoBigData HPC infrastructure helps organisations accelerate innovation, optimise performance, and bring data-driven solutions to production faster.
Purpose and Objectives
This service supports data-intensive and compute-intensive research, with the following key objectives:
- Provide scalable computing power for advanced analytics and AI
- Enable large-scale experimentation in social mining and big data
- Facilitate access to distributed supercomputing resources across Europe
- Support efficient and reproducible research workflows
- Lower technical and administrative barriers to HPC usage
By doing so, the service empowers users to move from small-scale experiments to high-impact, production-level analyses.
Advanced Computational Capabilities
The HPC infrastructure provides significant computing power, including:
- Thousands of CPU cores for parallel processing
- GPU accelerators (e.g., NVIDIA A100) for AI and deep learning
- Large-scale storage (petabyte-level) for big data
- High-capacity RAM for memory-intensive workloads
