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Content on this website is partly outdated.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 3007 overall):

Juliette Luiselli, Jonathan Rouzaud-Cornabas, Nicolas Lartillot, Guillaume Beslon. Genome Streamlining: Effect of Mutation Rate and Population Size on Genome Size Reduction. Genome Biology and Evolution, 2024, 16, 10.1093/gbe/evae250. hal-04905734 view on HAL pdf
Honore Cesaire Mounah, Djob Mvondo, Julia Lawall, Yérom-David Bromberg. The Impact of Kernel Asynchronous APIs on the Performance of a Kernel VPN. SYSTOR 2025 - 18th ACM International System and Storage Conference, Sep 2025, Virtual conference, Israel. pp.167-173, 10.1145/3757347.3759133. hal-05211974 view on HAL pdf
Baptiste Jonglez, Matthieu Simonin, Jolan Philippe, Sidi Mohammed Kaddour. Multi-provider capabilities in EnOSlib: driving distributed system experiments on the edge-to-cloud continuum. DAIS 2025: 25th International Conference on Distributed Applications and Interoperable Systems, Jun 2025, Lille, France. pp.25-42, 10.1007/978-3-031-95728-4_2. hal-05052776 view on HAL pdf
Emile Cadorel, Dimitri Saingre. A Protocol to Assess the Accuracy of Process-Level Power Models. Cluster 2024, IEEE, Sep 2024, Kobe, Japan. hal-04720926 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

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