Starting on May, 2025. SLICES-Madrid, has started a program for use of Nvidia GPU infraestructure for AI Training, Model Training, Neural Network Training, Machine Learning Workouts.
What do we offer?
We offer access to an NVIDIA DGX H200, which have these features:
8x NVIDIA H200 GPUs with 1,128GBs of Total GPU Memory
18x NVIDIA NVLink® connections per GPU, 900GB/s of bidirectional GPU-to-GPU bandwidth
4x NVIDIA NVSwitches™
7.2TB/s of bidirectional GPU-to-GPU bandwidth,
Dual Intel Xeon Platinum 8480C processors, 112 cores total, and 2TB System Memory
Powerful CPUs for the most intensive AI jobs
30TB NVMe SSD
High-speed storage for maximum performance
Slices Federated Learning Blueprint
SLICES-Madrid has announced the integration of its new NVIDIA DGX H200 system into the SLICES-RI Federated Learning Blueprint, strengthening Europe’s distributed AI research infrastructure.
The Federated Learning Blueprint provides researchers with ready-to-use templates and tools to deploy privacy-preserving machine learning experiments across the SLICES infrastructure — from edge nodes to high-performance data centers.
By incorporating the DGX H200, SLICES-Madrid now offers unprecedented GPU power for large-scale AI training and federated learning experiments, enabling researchers to train advanced models collaboratively without moving sensitive data.
This integration represents a major step toward scalable, privacy-aware AI research within Europe’s open experimental platform.
By following this tutorial you will learn how to use the available resources.