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.
- 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:
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 2020-02-16 20:51)
: No current events, 1 planned (details)
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2139 overall):
- David Guyon, Anne-Cécile Orgerie, Christine Morin. Energy-Efficient IaaS-PaaS Co-design for Flexible Cloud Deployment of Scientific Applications. SBAC-PAD 2018 - 30th International Symposium on Computer Architecture and High Performance Computing, Sep 2018, Lyon, France. pp.1-8. hal-01856656 view on HAL pdf
- Igor Konnov, Jure Kukovec, Thanh-Hai Tran. TLA+ Model Checking Made Symbolic. Proceedings of the ACM on Programming Languages, ACM, 2019, 3 (OOPSLA), pp.123:1--123:30. 10.1145/3360549. hal-02280888 view on HAL pdf
- Dimitri Delabroye, Simon Delamare, David Loup, Lucas Nussbaum. Remplacer un routeur par un serveur Linux : retour d'expérience des passerelles d'accès à Grid'5000. JRES - Journées Réseaux de l'Enseignement et de la Recherche, Dec 2019, Dijon, France. hal-02401684 view on HAL pdf
- Maverick Chardet, Hélène Coullon, Dimitri Pertin, Christian Pérez. Madeus: A formal deployment model. 4PAD 2018 - 5th International Symposium on Formal Approaches to Parallel and Distributed Systems (hosted at HPCS 2018), Jul 2018, Orléans, France. pp.1-8. hal-01858150 view on HAL pdf
- Mascha Kurpicz, Anne-Cécile Orgerie, Anita Sobe, Pascal Felber. Energy-proportional Profiling and Accounting in Heterogeneous Virtualized Environments. Sustainable Computing : Informatics and Systems, Elsevier, 2018, 18, pp.175-185. 10.1016/j.suscom.2017.11.002. hal-01633435v2 view on HAL pdf
New 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):
If your experiments do not require all the GPU of a single node, it is possible to reserve GPU³ at the resource level (see https://grid5000.fr/w/News#Enabling_GPU_level_resource_reservation_in_OAR for some examples).
You can also use the nvidia-smi and htop commands on your reserved nodes to get more information about your GPU/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.
Grid'5000 users survey
We are conducting a survey to help us better understand your needs and make Grid'5000 a better research infrastructure.
We thank you in advance for taking a few minutes to complete it (you can answer in French if you prefer).
The survey is available at:
It will be open until December, 13rd.
-- Grid'5000 Team 15:00, November 26th 2019 (CET)
New cluster "gemini" available at Lyon
We have the pleasure to announce you the availability of the new cluster "gemini" at Lyon.
Gemini includes two "Nvidia DGX-1" nodes, each with 8 Nvidia V100 GPUs, 2 Intel Xeon E5-2698 v4 @ 2.20GHz CPUs, 512GB DDR4, Infiniband EDR and 10Gbps Ethernet interfaces and 4 reservable¹ SSD disks.
Energy monitoring is also available for this cluster, provided by the same devices used for the other clusters in Lyon².
Remember that if you don't need the 8 GPUs, individual GPU may be reserved³. A script to install nvidia-docker is also available if you want to use Nvidia's images built for Docker⁴.
This cluster has been funded by the CPER LECO++ Project (FEDER, Région Auvergne-Rhone-Alpes, DRRT, Inria).
-- Grid'5000 Team 15:00, November 12th 2019 (CET)
Read more news
As from June 2008, Inria is the main contributor to Grid'5000 funding.
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
Provence Alpes Côte d'Azur
Hauts de France