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: 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: 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. Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018) Recently published documents and presentations: Presentation of Grid'5000 (April 2019) Report from the Grid'5000 Science Advisory Board (2018) Older documents: Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014 Report from the Grid'5000 Science Advisory Board (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 2026-08-30 04:42): 6 current events, 2 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 3001 overall):

• Dorssaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi. Knowledge graph representation learning: a comprehensive and experimental overview. Computer Science Review, 2024, 56. hal-04853146 view on HAL pdf
• Hugo Reymond. Modèle d'exécution conscient de l'énergie pour les systèmes intermittents. Autre cs.OH. Université de Rennes, 2024. Français. NNT : 2024URENS035. tel-05056937v2 view on HAL pdf
• Gaspard Michel, Elena Epure, Romain Hennequin, Christophe Cerisara. Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3. 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, Apr 2025, Albuquerque, New Mexico, United States. pp.742-755, 10.18653/v1/2025.naacl-short.62. hal-05245297 view on HAL pdf
• Roblex Nana Tchakoute, Claude Tadonki, Petr Dokladal, Petr Dokladal, Youssef Mesri. A Flexible Operational Framework for Energy Profiling of Programs. 2024 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), Nov 2024, Hilo, United States. pp.12-22, 10.1109/SBAC-PADW64858.2024.00014. hal-04819054 view on HAL pdf
• 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

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