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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:

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 2026-03-23 06:15): 5 current events, 1 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2938 overall):

Albert d'Aviau de Piolant, Hayfa Tayeb, Bérenger Bramas, Mathieu Faverge, Abdou Guermouche, et al.. Improving energy efficiency of HPC applications using unbalanced GPU power capping. HCW (Ipdps workshop), Jun 2025, Milan (Italie), Italy. hal-04883872v2 view on HAL pdf
Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 view on HAL pdf
Enzo Isnard, Sébastien Héron, Mahmoud Elsawy, Stéphane Lanteri. Optimization of imaging systems containing metasurfaces using a ray-wave model. Metamaterials 2025 -19th International Congress on Artificial Materials for Novel Wave Phenomena, METAMORPHOSE VI AISBL; University of Amsterdam; AMOLF, Sep 2025, Amsterdam, Netherlands. hal-05250474 view on HAL pdf
Donatien Schmitz, Guillaume Rosinosky, Etienne Rivière. Justin: Hybrid CPU/Memory Elastic Scaling for Distributed Stream Processing ⋆. DAIS 2025 - 25th International Conference on Distributed Applications and Interoperable Systems, Daniel Balouek; Ibéria Medeiros, Jun 2025, Lille, France. pp.1-17. hal-05081993 view on HAL pdf
Rémi Meunier, Thomas Carle, Thierry Monteil. Multi-core interference over-estimation reduction by static scheduling of multi-phase tasks. Real-Time Systems, 2024, pp.1--39. 10.1007/s11241-024-09427-3. hal-04689317 view on HAL pdf

Latest news

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Grid'5000 sites

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