Grid5000:Home

Grid'5000 is a precursor infrastructure of SLICES-FR, the French node of SLICES-RI, Scientific Large Scale Infrastructure for Computing/Communication Experimental Studies.
Content on this website is partly outdated. Technical information remains relevant.

Grid'5000 is a large-scale and flexible testbed for experiment-driven research in all areas of computer science, with a focus on parallel and distributed computing, including Cloud, HPC, Big Data and AI.

Key features:

provides access to a large amount of resources: 15000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: PMEM, GPU, SSD, NVMe, 10G and 25G Ethernet, Infiniband, Omni-Path
highly reconfigurable and controllable: researchers can experiment with a fully customized software stack thanks to bare-metal deployment features, and can isolate their experiment at the networking layer
advanced monitoring and measurement features for traces collection of networking and power consumption, providing a deep understanding of experiments
designed to support Open Science and reproducible research, with full traceability of infrastructure and software changes on the testbed
a vibrant community of 500+ users supported by a solid technical team

Read more about our teams, our publications, and the usage policy of the testbed. Then get an account, and learn how to use the testbed with our Getting Started tutorial and the rest of our Users portal.

Published documents and presentations:

20th anniversary commemoration (2023) → presentations video replay (French only)
Presentation of Grid'5000 (April 2019)
Report from the Grid'5000 Science Advisory Board (2018)

Older documents:

Grid'5000 is supported by a scientific interest group (GIS) hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations. Inria has been supporting Grid'5000 through ADT ALADDIN-G5K (2007-2013), ADT LAPLACE (2014-2016), and IPL HEMERA (2010-2014).

Most recent news

Debian 13 "Trixie" std environment is now the default environment on (almost) all nodes

Dear users,

We are pleased to announce that Debian 13 (Trixie) std environment is

now the default environment on most nodes. See `kaenv3...

Some clusters under Debian 13 "Trixie" environment by default and migration maintenance

Dear users,

The default standard environment has changed to Debian 13 for some

selected clusters over the past few weeks.

Here the...

Upcoming changes to modules

Hello everyone,

Let's start with a quick TLDR, details on the rationale and implementation are available below: new modules will be avail...

Changes to VS Code and AI Extensions Usage on Frontend

Recently, we have observed a critical increase in resource consumption (CPU and memory) on these nodes. This is primarily caused by VS Code Serv...

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 3009 overall):

Khaled Arsalane. Scalable Data Stream Processing in Heterogeneous Environments. Computer science. Université de Rennes, 2025. English. NNT : . tel-05433201 view on HAL pdf
Alan Lira Nunes, Cristina Boeres, Lúcia Maria de A. Drummond, Laércio Lima Pilla. Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous Resources. 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Nov 2024, Hilo, France. pp.148-158, 10.1109/SBAC-PAD63648.2024.00021. hal-04690494v2 view on HAL pdf
Guillaume Méroué, Fabien Gandon, Pierre Monnin. Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings. ESWC 2026 - 23rd European Semantic Web Conference, May 2026, Dubrovnik, Croatia. hal-05542928v2 view on HAL pdf
Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. AI4S 2024 - 5th Workshop on artificial intelligence and machine learning for scientific applications, Nov 2024, Atlanta (Georgia), United States. pp.1-9. hal-04712480 view on HAL pdf
Khaled Arsalane. Scalable data stream processing in heterogenous environments. Other cs.OH. Université de Rennes, 2025. English. NNT : 2025URENS105. tel-05651478 view on HAL pdf

Grid'5000 sites

Current funding

INRIA

CNRS

Universities

IMT Atlantique
Université Grenoble Alpes, Grenoble INP
Université Rennes 1, Rennes
Institut National Polytechnique de Toulouse / INSA / FERIA / Université Paul Sabatier, Toulouse
Université Bordeaux 1, Bordeaux
Université Lille 1, Lille
École Normale Supérieure, Lyon

Regional councils

Aquitaine
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine