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Grid'5000 is a precursor infrastructure of SLICES-FR, the French node of SLICES-RI, Scientific Large Scale Infrastructure for Computing/Communication Experimental Studies.
Content on this website is partly outdated. Technical information remains relevant.

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, 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.


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 2026-06-23 22:45): 6 current events, 6 planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2953 overall):

  • Alaaeddine Chaoub. Deep learning representations for prognostics and health management. Computer Science cs. Université de Lorraine, 2024. English. NNT : 2024LORR0057. tel-04687618 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
  • Louis Roussel. Integral equations modelling and deep learning. Machine Learning cs.LG. Université de Lille, 2025. English. NNT : 2025ULILB033. tel-05567799v2 view on HAL pdf
  • Sewade Ogun, Abraham T. Owodunni, Tobi Olatunji, Eniola Alese, Babatunde Oladimeji, et al.. 1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis. Interspeech 2024, Sep 2024, Kos Island, Greece. hal-04663033 view on HAL pdf
  • Charles Bouillaguet. Algorithm xxx: Evaluating a Boolean Polynomial on All Possible Inputs. ACM Transactions on Mathematical Software, In press, 10.1145/3699957. hal-04418528v2 view on HAL pdf


Latest news

Rss.svgChanges to VS Code and AI Extensions Usage on Frontend

Recently, we have observed a critical increase in resource consumption (CPU and memory) on these nodes. This is primarily caused by VS Code Server (or similar) instances and associated AI-assisted coding extensions (such as Copilot, Tabnine, or local LLM agents) running directly on the frontend.

As a reminder, frontends are strictly dedicated to lightweight tasks: code editing, file management, and job submission. Running heavy background processes or AI agents on these shared machines degrades performance for the entire community and risks crashing the machines. Frontend are not sized for heavy code/system compilation/build either. Heavy tasks must be run on reserved nodes.

What is changing:

- ban on frontend: running VS Code Server (or similar), AI extensions, or any background development agents directly on the frontend will shortly be prohibited. - automated cleanup: we will actively monitor these nodes. Any unauthorized, resource-intensive processes or persistent VS Code servers found running on the login nodes will be terminated without prior warning.

How to continue using VS Code and AI tools?:

We fully understand that these tools could be essential for your work. Therefore, this usage is completely permitted and supported on the compute nodes.

To use VS Code and your AI agents properly, you must schedule an interactive session via the batch scheduler (OAR). You can do this by:

- Requesting an interactive allocation using oarsub -I.

- Tunneling your VS Code Remote-SSH connection directly to the allocated compute node instead of the frontend

This ensures you have dedicated resources for your AI tools without impacting other users.

-- Grid'5000 Team 16:00, 15 Jun 2026 (CEST)

Rss.svgEnd of support for Rocky8/9 and ubuntu2004

Support for the Rocky8/9 and Ubuntu2004 kadeploy environments is stopped due to the end of upstream support and compatibility issues with recent hardware.

The last version of the Rocky8 environments (version 2024071119), Rocky9 environments (version 2024071119), Ubuntu2004 environments (version 2025031116) will remain available on /grid5000.

Older versions can still be accessed in the archive directory (see /grid5000/README.unmaintained-envs for more information).

-- Grid'5000 Team 09:40, 10 May 2026 (CEST)

Rss.svgCluster Chicoree is now in default queue at Lille

We are pleased to announce that the Chicoree [1] cluster is now available in the default queue.

Chicoree is a cluster composed of 1 Proliant DL380a Gen12 node, featuring:

  • 2x Intel Xeon 6530P (Granite Rapids), 32 cores/CPU
  • 4x Nvidia H200 141GB GPU with NVLink
  • 1 TiB RAM
  • 4x 3.2 TB NVMe
  • 2x 25Gbps network interface
  • This cluster was funded by the CPER CornelIA.

    This cluster is tagged as "exotic", so the `-t exotic` option must be provided to oarsub to select chicoree.

    [1] https://www.grid5000.fr/w/Lille:Hardware#chicoree

    Best regards, Grid'5000 Technical Team

    -- Grid'5000 Team 09:30, 04 June 2026 (CEST)

    Rss.svgCluster Sasquatch is now in default queue at Grenoble

    We are pleased to announce that the Sasquatch [1] cluster is now available in the default queue.

    Sasquatch is a cluster composed of 2 HPE RL300 nodes, each featuring:

  • 1x ARM64 CPU Neoverse-N1 (Ares) 80 cores/CPU (Ampere altra) [2]
  • 1 TiB RAM
  • 1x 1.6 TB NVMe
  • 2x 25Gbps network interface (first NIC wired at 25Gbps and second NIC at 10Gbps)
  • This cluster was funded by the PEPR IA.

    [1] https://www.grid5000.fr/w/Grenoble:Hardware#sasquatch

    [2] https://amperecomputing.com/briefs/ampere-altra-family-product-brief

    Best regards, Grid'5000 Technical Team

    -- Grid'5000 Team 10:15, 11 February 2026 (CEST)


    Read more news

    Grid'5000 sites

    Current funding

    INRIA

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    CNRS

    CNRS-filaire-Quadri.png

    Universities

    IMT Atlantique
    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