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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:

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 2025-07-02 08:24): 2 current events, 6 planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2777 overall):

  • Hee-Soo Choi, Priyansh Trivedi, Mathieu Constant, Karën Fort, Bruno Guillaume. Beyond Model Performance: Can Link Prediction Enrich French Lexical Graphs?. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), May 2024, Turin, Italy. hal-04537462 view on HAL pdf
  • Francisco Pinto, Veronica Carlsson, Mathias Meunier, Bert Van Bocxlaer, Hammouda Elbez, et al.. Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates. Marine Micropaleontology, In press, pp.102293. 10.1016/j.marmicro.2023.102293. hal-04215322 view on HAL pdf
  • Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Etienne Goffinet, Djamel Bouchaffra. Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SIAM International Conference on Data Mining (SDM24), Apr 2024, Houston, Texas, United States. pp.815 - 823, 10.1137/1.9781611978032.93. hal-04457596 view on HAL pdf
  • Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi, Emmanuel Vincent. End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2023), Dec 2023, Taipei, Taiwan. 10.1109/ASRU57964.2023.10389729. hal-04235774 view on HAL pdf
  • Barbara Gendron, Gaël Guibon. Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation. 2024. hal-04532408 view on HAL pdf


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Grid'5000 sites

Current funding

As from June 2008, Inria is the main contributor to Grid'5000 funding.

INRIA

Logo INRIA.gif

CNRS

CNRS-filaire-Quadri.png

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