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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:

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 2026-01-01 14:03): 6 current events, 2 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2928 overall):

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
Ilhem Fajjari, Wassim Aroui, Joaquim Soares, Vania Marangozova. Use Cases Requirements. UGA (Université Grenoble Alpes). 2024. hal-04450028 view on HAL pdf
Cédric Prigent, Alexandru Costan, Gabriel Antoniu, Loïc Cudennec. Enabling Federated Learning across the Computing Continuum: Systems, Challenges and Future Directions. Future Generation Computer Systems, 2024, 160, pp.767-783. 10.1016/j.future.2024.06.043. hal-04659211 view on HAL pdf
Louis Roussel. Integral Equations Modelling and Deep Learning. Computer Science cs. Université de Lille, 2025. English. NNT : . tel-05425240 view on HAL pdf
Hugo Thomas, Guillaume Gravier, Pascale Sébillot. One-shot relation retrieval in news archives: adapting N-way K-shot relation classification for efficient knowledge extraction. KES 2024 - 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2024, Seville, Spain. pp.1060-1069. hal-04708239 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
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine