Grid5000:Home

Grid'5000 Grid'5000 is a large-scale and flexible 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 and AI. Key features: provides access to a large amount of resources: 15000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: PMEM, 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 2026-10-19 05:16): 7 current events, 2 planned (details)

Random pick of publications

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

• Khaled Arsalane, Guillaume Pierre. Data Stream Processing Effectiveness in Heterogeneous Computing Environments. SAC 2026 - 41st ACM/SIGAPP Symposium On Applied Computing, ACM, Mar 2026, Tessaloniki, Greece. 10.1145/3748522.3779774. hal-05390665 view on HAL pdf
• Fabien Mathieu, Alexandre Pham, Maria Gradinariu Potop-Butucaru, Sébastien Tixeuil. Stream Learning: Partition-Fair Gossip Learning Without Tokens. SSS 2026, 28th International Symposium on Stabilization, Safety, and Security of Distributed Systems, Oct 2026, Gothenburg, Sweden. hal-05712696 view on HAL pdf
• Georges da Costa. Hardware and application aware performance, power and energy models for modern HPC servers with DVFS. Sustainable Computing : Informatics and Systems, 2025, 46, pp.101106. 10.1016/j.suscom.2025.101106. hal-04983485 view on HAL pdf
• Romain Fontaine, Christine Solnon. Experimental study of the impact of time window generation on solver performance for the TSPTW. ROADEF 2026 - 27ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Université de Tours, Feb 2026, Tours, France. hal-05712919 view on HAL pdf
• Guillaume Méroué, Fabien Gandon, Pierre Monnin. Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings. ESWC 2026 - 23rd European Semantic Web Conference, May 2026, Dubrovnik, Croatia. hal-05542928v2 view on HAL pdf

Latest news

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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