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 2026-09-26 15:59): 8 current events, 5 planned (details)

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

• Guillaume Méroué, Fabien Gandon, Pierre Monnin. Prédiction ou perdition de liens : les graines de l'instabilité dans les plongements de graphes de connaissances. IC2026 - 37es journées de l’Ingénierie des Connaissances, Jul 2026, Arras, France. hal-05646323 view on HAL pdf
• Daniel Richards Arputharaj, Charlotte Rodriguez, Angelo Rodio, Giovanni Neglia. Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling. MASCOTS 2025 - 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System, Oct 2025, Paris, France. 10.1109/MASCOTS67699.2025.11283314. hal-05423023 view on HAL pdf
• Georges da Costa, Atom Deutsch-Filippi, Igor Fontana de Nardin, Jean-Marc Nicod, Veronika Rehn-Sonigo, et al.. Cooperative vs. non-cooperative marketplace for computing jobs to be run on geo-distributed data centers only supplied by renewable energies. Cluster Computing, 2025, 28 (10), pp.637. 10.1007/s10586-025-05300-5. hal-05239473 view on HAL pdf
• James Sudlow, Baudouin Naline, Sara Bouchenak, Baudouin Naline. Automated Data Error Cleaning Impact on Federated Learning Utility and Fairness. 56th Annual IEEE International Conference on Dependable Systems and Networks (DSN 2026), Jun 2026, Charlotte, NC, United States. pp.825-834, 10.1109/DSN69566.2026.00080. hal-05700323 view on HAL pdf
• Cédric Prigent, Kate Keahey, Alexandru Costan, Loïc Cudennec, Gabriel Antoniu. On the Reproducibility Challenges of Federated Learning: Investigating the Gap between Simulation, Emulation and Real-World Deployments. CCGrid 2025 - IEEE 25th International Symposium on Cluster, Cloud and Internet Computing, May 2025, Tromso, Norway. pp.185-194, 10.1109/ccgrid64434.2025.00054. hal-04997547 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