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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 2020-03-30 05:39): No current events, None planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2139 overall):

  • Yunbo Li, Anne-Cécile Orgerie, Ivan Rodero, Betsegaw Lemma Amersho, Manish Parashar, et al.. End-to-end Energy Models for Edge Cloud-based IoT Platforms: Application to Data Stream Analysis in IoT. Future Generation Computer Systems, Elsevier, 2018, 87, pp.667-678. 10.1016/j.future.2017.12.048. hal-01673501 view on HAL pdf
  • Bastien Confais, Adrien Lebre, Benoît Parrein. Improving locality of an object store working in a Fog environment. 1st Grid’5000-FIT school, Apr 2018, Nice, France. pp.1-2. hal-01759998 view on HAL pdf
  • Tien-Dat Phan, Guillaume Pallez, Shadi Ibrahim, Padma Raghavan. A New Framework for Evaluating Straggler Detection Mechanisms in MapReduce. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, ACM, 2019, X, pp.1-22. 10.1145/3328740. hal-02172590v2 view on HAL pdf
  • Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez. Parallel Computation of PDFs on Big Spatial Data Using Spark. Distributed and Parallel Databases, Springer, In press, pp.1-38. 10.1007/s10619-019-07260-3. lirmm-02045144 view on HAL pdf
  • Vitor Silva. Análise de dados científicos sobre múltiplas fontes de dados ao longo da execução de simulações computacionais. Databases cs.DB. Universidade Federal de Rio de Janeiro, 2018. Portuguese. tel-01830211 view on HAL pdf

Latest news

Rss.svgMajor update of BIOS and other firmwares and future strategy

In the recent months, we have performed a campaign of firmware updates (BIOS, Network interface Cards, RAID adapters…) of the nodes of most Grid'5000 clusters.

Those updates improved the overall reliability of our deployment process, but they also included mitigations for security issues such as Spectre/Meltdown.

It was also an opportunity to align clusters with similar hardware on the same firmware versions.

Unfortunately, we understand that those changes may have an impact on your experiments (particularly in terms of performance). This is a difficult issue where there is no good solution, as it is often hard or impossible to downgrade BIOS versions.

However, those firmware versions are included in the reference API. We recommend that you use this information to track down changes that could affect your experiment.

For instance, in , see bios.version and firmware_version.

You can also browse previous versions using the API ¹, or using the Github commit history ²

We will continue to update such firmwares in the future, about twice a year, keeping similar hardware in sync, and documenting the versions in the reference API.



-- Grid'5000 Team 16:15, March 27th 2020 (...

Rss.svgSupport for persistent memory (PMEM)

Grid'5000 now features, among the different technologies it provides, some nodes with persistent memory.

Please find an introduction and some documentation on how to experiment on the persistent memory technology in the PMEM page.

-- Grid'5000 Team 17:35, February 19th 2020 (CET)

Rss.svgNew cluster "troll" available in Grenoble

We have the pleasure to announce that a new cluster called "troll" is available in Grenoble¹.

It features 4 Dell R640 nodes with 2 Intel® Xeon® Gold 5218, 16 cores/CPU, 384GB DDR4, 1.5 TB PMEM (Intel® Optane™ DC Persistent Memory)²³, 1.6 TB NVME SSD, 10Gbps Ethernet, and 100Gb Omni-Path.

Energy monitoring⁴ is available for this cluster, provided by the same devices used for the other clusters in Grenoble.

This cluster has been funded by the PERM@RAM project from Laboratoire d'Informatique de Grenoble (CNRS/INS2I grant).





-- Grid'5000 Team 17:00, February 3rd 2020 (CET)

Rss.svgNew cluster available in Nancy: grue (20 GPUs)

We have the pleasure to announce that the Grue cluster in Nancy¹ (production queue) is now available:

It features 5 Dell R7425 servers nodes with four Tesla T4², 128 GB DDR4, 1x480 GB SSD, 2 x AMD EPYC 7351, 16 cores/CPU

As this cluster features 4 GPU per node, we remind you that you can monitor GPU (and node) usage using the Ganglia tool (std environment only) and looking a the grue nodes.

If your experiments do not require all the GPU of a single node, it is possible to reserve resources at the GPU level³ (also see this previous news for some examples).

You can also use the nvidia-smi and htop commands on your reserved nodes to get more information about your GPU and CPU usage.

This cluster has been funded by Ihe CPER LCHN project (Langues, Connaissances & Humanités Numériques, Contrat de plan État / Région Lorraine 2015-2020), and the LARSEN and MULTISPEECH teams at LORIA / Inria Nancy Grand Est.

As a reminder, since this cluster is part of the "production" queue, specific usage rules apply.




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
Hauts de France