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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 2021-01-20 20:26): 1 current events, 1 planned (details)

Five random publications that benefited from Grid'5000 (at least 2144 overall):

  • Ajinkya Kulkarni, Vincent Colotte, Denis Jouvet. Deep variational metric learning for transfer of expressivity in multispeaker text to Speech. SLSP 2020 - 8th International Conference on Statistical Language and Speech Processing, Oct 2020, Cardiff / Virtual, United Kingdom. hal-02573885v2 view on HAL pdf
  • Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain. Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. IEEE Engineering in Medicine and Biology Society 2020, Jul 2020, Montreal, Canada. hal-02920320 view on HAL pdf
  • Emile Cadorel, Hélène Coullon, Jean-Marc Menaud. Online Multi-User Workflow Scheduling Algorithm for Fairness and Energy Optimization. CCGrid2020 : 20th International Symposium on Cluster, Cloud and Internet Computing, Nov 2020, Melbourne, Australia. 10.1109/CCGrid49817.2020.00-36. hal-02551733 view on HAL pdf
  • Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, et al.. FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. ACM/IFIP Middleware conference, Dec 2020, Delft, Netherlands. 10.1145/3423211.3425685. hal-03043237 view on HAL pdf
  • Matthieu Zimmer, Paul Weng. Exploiting the sign of the advantage function to learn deterministic policies in continuous domains. International Joint Conferences on Artificial Intelligence, Aug 2019, Macao, China. hal-02145083v2 view on HAL pdf

Latest news

Rss.svgNew Grid'5000 API's documentation and specification

Grid'5000 API's documentation has been updated. Before this update, the documentation contained both the specification and tutorials of the API (with some parts also present in the wiki).

To be more consistent, provides now only the specification (HTTP paths, parameters, payload, …). All tutorials were moved (along with being updated) to the Grid'5000's wiki.

The new API specification can be viewed with two tools: The first one allows to read the specification and find information ; the second one allows to discover the API thanks to a playground.

Please note that the specification may contain errors. Please report any of such errors to Support Staff.

-- Grid'5000 Team 14:30, January 11th 2021 (CET)

Rss.svgImportant changes in the privileges levels of users

Each Grid'5000 user is a member of at least one granting access group, which depends on their situation (location, laboratory, ...).

Each group is given a privilege level (bronze, silver, gold), depending on how the related organization is involved in Grid'5000's development and support.

Until now, however, these levels had no impact on how Grid'5000 could be used.

Starting from December 10th, 2020, each user will be granted different usages on the testbed depending on their privileges level. In particular:

  • While every level continues to give access to the Grid'5000 default queue (most of Grid'5000 resources) ;
  • Access to the production and besteffort queues will only be granted to silver and gold levels.

The complete description of each level of privileges is available here.

The privilege level of the groups a user is a member of is shown in the "group" tab of the management interface.

Note that if a user is a member of several groups, one is set as default and is implicitly used when submitting jobs.

But the "--project" OAR option can also set explicitly which group the job should use. For instance:

oarsub -I -q production --project=myothergroup

Do not hesitate to contact the Support Staff for any questions related to the privilege levels.

-- Grid'5000 Team 15:30, December 8st 2020 (CET)

Rss.svgReminder: Testing phase of the new monitoring service named Kwollect

As a reminder, the testing phase of Kwollect, the new monitoring solution for Grid'5000, is still ongoing.

Some new features are available since the last announcement :

  • Support for Prometheus metrics
  • Basic visualization dashboard
  • Fine-tuning of on-demand metrics
  • Ability to push your own metrics

See: Monitoring Using Kwollect

Do not hesitate to give us some feedback!

Kwollect is intended to replace the legacy monitoring systems, Kwapi and Ganglia, in the (hopefully) near future.

-- Grid'5000 Team 09:00, December 1st 2020 (CET)

Rss.svgNew IBM POWER8 cluster "drac" available for beta testing in Grenoble

We are happy to announce that a new cluster "drac" is available in the testing queue in Grenoble.

The cluster has 12 "Minsky" nodes from IBM, more precisely "Power Systems S822LC for HPC".

Each node has 2x10 POWER8 cores, 4 Tesla P100 GPU, and 128 GB of RAM. The GPUs are directly interconnected with a NVLINK fabric. Support for Infiniband 100G and kavlan is planned to be added soon.

This is the first cluster in Grid'5000 using the POWER architecture, and we are also aware of some stability issues related to GPUs, hence the "beta testing" status for now.

Feedback is highly welcome on performance and stability, as well as on our software environment for this new architecture.

Note that, since the CPU architecture is not x86, you need to explicitly ask for an "exotic" job type when reserving the nodes. For instance, to get a single GPU:

grenoble$ oarsub -I -q testing -t exotic -l gpu=1

More information on the hardware is available at Grenoble:Hardware

Acknowledgment: This cluster was donated by GENCI, many thanks to them. It was formerly known as the Ouessant platform of Genci's Cellule de Veille Technologique.

-- Grid'5000 Team 15:50, November 26th 2020 (CET)

Read more news

Grid'5000 sites

Current funding

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


Logo INRIA.gif




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

Provence Alpes Côte d'Azur
Nord Pas de Calais