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 2025-11-26 10:28): 6 current events, 12 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2925 overall):

• 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
• Liam Cripwell, Joël Legrand, Claire Gardent. Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification. 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, Singapore. pp.12053-12059, 10.18653/v1/2023.emnlp-main.739. hal-04369824 view on HAL pdf
• Jolyne Gatt, Maël Madon, Georges da Costa. Digital sufficiency behaviors to deal with intermittent energy sources in a data center. ICT4S 2024: International Conference on ICT for Sustainability, Jun 2024, Stockhlom, Sweden. 10.1109/ICT4S64576.2024.00015. hal-04745218 view on HAL pdf
• Ophélie Renaud, Karol Desnos, Erwan Raffin, Jean-François Nezan. Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture. EUSIPCO, EURASIP, Aug 2024, Lyon, France. pp.701-705, 10.23919/EUSIPCO63174.2024.10715023. hal-04608249 view on HAL pdf
• Anderson Andrei Da Silva. Investigating the Impacts of Multi-Object Scheduling Policies for Serverless Functions on the Edge-Cloud Continuum. Machine Learning cs.LG. Université Grenoble Alpes 2020-.., 2023. English. NNT : 2023GRALM078. tel-04974687 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