Grid5000:Home

Grid'5000 is a precursor infrastructure of SLICES-RI, Scientific Large Scale Infrastructure for Computing/Communication Experimental Studies.
Content on this website is partly outdated. Technical information stays 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:

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 2025-09-18 16:50): 5 current events, 2 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2922 overall):

Maxime Agusti, Eddy Caron, Benjamin Fichel, Laurent Lefèvre, Olivier Nicol, et al.. PowerHeat: A non-intrusive approach for estimating the power consumption of bare metal water-cooled servers. 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics, Aug 2024, Copenhagen, Denmark. pp.1-7. hal-04662683 view on HAL pdf
Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. Euro-Par 2024, Carretero, J., Shende, S., Garcia-Blas, J., Brandic, I., Olcoz, K., Schreiber, M., Aug 2024, Madrid, Spain. pp.152-165, 10.1007/978-3-031-69577-3_11. hal-04566184v2 view on HAL pdf
Thomas Tournaire, Hind Castel-Taleb, Emmanuel Hyon. Efficient Computation of Optimal Thresholds in Cloud Auto-scaling Systems. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2023, 8 (4), pp.9. 10.1145/3603532. hal-04176076 view on HAL pdf
Hee-Soo Choi, Priyansh Trivedi, Mathieu Constant, Karën Fort, Bruno Guillaume. Au-delà de la performance des modèles : la prédiction de liens peut-elle enrichir des graphes lexico-sémantiques du français ?. Actes de JEP-TALN-RECITAL 2024. 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position, Jul 2024, Toulouse, France. pp.36-49. hal-04623008 view on HAL pdf
Gaël Vila, Emmanuel Medernach, Inés Gonzalez, Axel Bonnet, Yohan Chatelain, et al.. The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM REP'24, ACM, Jun 2024, Rennes, France. pp.75-84, 10.1145/3641525.3663626. hal-04480308v2 view on HAL pdf

Latest news

Cluster "chuc" is now in the default queue in Lille

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

Chuc is a cluster composed of 8 nodes Apollo 6500 Gen10 Plus.

Each node features:

1x CPU AMD EPYC 7513 (Zen 3), x86_64, 32 cores/CPU

4x GPU Nvidia A100-SXM4-40GB (40 GiB)

512 GiB RAM

4x 1.92 TB SSD SAS HPE

Due to a wattmeter hardware error, the cluster's energy consumption cannot be monitored via wattmeters yet.

You will be informed when the physical energy monitoring is available on this cluster.

This cluster was funded by the CornelIA CPER project.

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

Best regards,

Grid'5000 Technical Team

-- Grid'5000 Team 09:51, 15 September 2025 (CEST)

Cluster "larochette" is now in the default queue in Luxembourg

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

Larochette is a cluster composed of 7 nodes, each with 4 MI210 AMD GPUs.

The node features:

2x CPU Intel Xeon Platinum 8568Y+ (48 cores/CPU, 2 threads/cores)

4x AMD Instinct MI210 (64 GiB each)

512 GiB RAM

1x 3.2TB NVME disk

This cluster was funded by the University of Luxembourg.

[1] https://www.grid5000.fr/w/Luxembourg:Hardware#larochette

-- Grid'5000 Team 17:46, 26 August 2025 (CEST)

SLICES-FR School 2025

The first SLICES-FR School is organized from July 7th to 11th in Lyon.

This free event, co-organized with the PEPR Cloud and Networks of the Future, brings together researchers, engineers and professionals to explore advances in distributed computing, edge computing, reprogrammable networks and the IoT.

-- Grid'5000 Team 09:30, 9 July 2025 (CEST)

Cluster "vianden" is now in the default queue in Luxembourg

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

Vianden is a cluster of a single node with 8 MI300X AMD GPUs.

The node features:

2x CPU Intel Xeon Platinum 8470 (52 cores/CPU, 2 threads/cores)

8x AMD Instinct MI300X (192 GiB each)

2TiB RAM

1x 3.2TB NVME disk

The AMD MI300X GPUs are not supported by Grid'5000 default system (Debian 11). However, one can easily unlock full GPU functionality by deploying the ubuntu2404-rocm environment:

fluxembourg$ oarsub -t exotic -t deploy -p vianden -I

fluxembourg$ kadeploy3 -m vianden-1 ubuntu2404-rocm

More information in the Exotic page.

This cluster was funded by the University of Luxembourg.

[1] https://www.grid5000.fr/w/Luxembourg:Hardware#vianden

-- Grid'5000 Team 11:30, 27 June 2025 (CEST)

Grid'5000 sites

Current funding

INRIA

CNRS

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