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: Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014 Report from the Grid'5000 Science Advisory Board meeting (2014) 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 2026-09-11 03:54): 5 current events, 3 planned (details)

Five random publications that benefited from Grid'5000 (at least 3007 overall):

• Cédric Prigent. Towards Efficient and Trustworthy Federated Learning on the Computing Continuum. Machine Learning cs.LG. INSA de Rennes, 2025. English. NNT : 2025ISAR0003. tel-05279213 view on HAL pdf
• Théo Jolivel, François Tessier, Jakob Luettgau, Gabriel Antoniu, Philippe Deniel. A Methodology for System-Scale I/O Pattern Taxonomy for HPC Workloads. 2025. hal-05448514v1 view on HAL pdf
• Simon Lambert, Vladimir Ostapenco, Laurent Lefèvre, Eddy Caron, Anne-Cécile Orgerie, et al.. Revisiting virtual machine consolidation to save resources and energy in heterogeneous production cloud infrastructures. International Journal of High Performance Computing Applications, 2025, 10.1177/10943420251399694. hal-05457159 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. 10.1007/s11222-026-10930-9. hal-05322341v3 view on HAL pdf
• Mathis Valli, Loïc Cudennec, Alexandru Costan, Cédric Tedeschi, Gabriel Antoniu. Evaluating Federated Learning Beyond Simulation: A Deployment-Aware Methodology. CCGrid 2026 - IEEE 26th International Symposium on Cluster, Cloud and Internet Computing, IEEE, May 2026, Sydney, Australia. hal-05477787v2 view on HAL pdf

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Grid'5000 sites

Grenoble Lille Luxembourg

Lyon Nancy Nantes

Rennes Sophia-Antipolis Toulouse

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