Grid5000:Home

Grid'5000

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

Key features:

provides access to a large amount of resources: 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI
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.

Recently published 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).

Current status (at 2026-08-23 08:25): 7 current events, 2 planned (details)

Five random publications that benefited from Grid'5000 (at least 3000 overall):

Ishaan Shah, S Lucas, G Drettakis. Frequency-Aware Spatial-Angular Gaussians for Efficient Global Illumination Precomputation and Real-Time Rendering. Computer Graphics Forum, In press, 45 (4), 10.1111/cgf.70542. hal-05702737 view on HAL pdf
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
Jérémie Rodez, Patricia Stolf, Thierry Monteil. Placement of Distributed Machine Learning Services for AI- and Smart Grid-Enabled IoT Platforms. 2026. hal-05279358 view on HAL pdf
Danilo Carastan-Santos, Georges da Costa, Igor Fontana de Nardin, Millian Poquet, Krzysztof Rzadca, et al.. Scheduling with lightweight predictions in power-constrained HPC platforms. IEEE Transactions on Parallel and Distributed Systems, 2025, pp.1-12. 10.1109/TPDS.2025.3586723. hal-04747713v3 view on HAL pdf
Antoine Franchini, Stéphane Girard, Anne Dutfoy. Adaptive confidence intervals for extreme quantiles from heavy-tailed distributions. Statistics and Computing, 2026, 36, pp.175. hal-05322341v3 view on HAL pdf

Latest news

Failed to load RSS feed from https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom: Error parsing XML for RSS

Grid'5000 sites

Current funding

As from June 2008, Inria is the main contributor to Grid'5000 funding.

INRIA

CNRS

Universities

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
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Nord Pas de Calais
Lorraine