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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 2025-12-04 03:50): 9 current events, 7 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
Geo Johns Antony, Marie Delavergne, Adrien Lebre, Matthieu Rakotojaona Rainimangavelo. Thinking out of replication for geo-distributing applications: the sharding case. ICFEC 2024: 8th IEEE International Conference on Fog and Edge Computing, May 2024, Philadelphia, United States. pp.1-8, 10.1109/ICFEC61590.2024.00019. hal-04522961 view on HAL pdf
Mathieu Bacou. FaaSLoad : fine-grained performance and resource measurement for function-as-a-service. 2024. hal-04836444 view on HAL pdf
Kelvin Han, Claire Gardent. Multilingual Generation and Answering of Questions from Texts and Knowledge Graphs. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 ), ACL, Dec 2023, Singapore, Singapore. pp.13740-13756, 10.18653/v1/2023.findings-emnlp.918. hal-04369793 view on HAL pdf
Chaima Zoghlami, Rahim Kacimi, Riadh Dhaou. Leveraging RL for Efficient Collection of Perception Messages in Vehicular Networks. Global Information Infrastructure and Networking Symposium (GIIS 2024), Feb 2024, Dubai, United Arab Emirates. à paraître. hal-04408979 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