Grid5000:Home

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 Content on this website is partly outdated.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 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: 20th anniversary commemoration (2023), replay (French only) Presentation of Grid'5000 (April 2019) Report from the Grid'5000 Science Advisory Board (2018) Older documents: Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014 Report from the Grid'5000 Science Advisory Board (2014) 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).

Debian 13 "Trixie" std environment is now the default environment on (almost) all nodes Dear users, We are pleased to announce that Debian 13 (Trixie) std environment is now the default environment on most nodes. See `kaenv3... Some clusters under Debian 13 "Trixie" environment by default and migration maintenance Dear users, The default standard environment has changed to Debian 13 for some selected clusters over the past few weeks. Here the... Upcoming changes to modules Hello everyone, Let's start with a quick TLDR, details on the rationale and implementation are available below: new modules will be avail... Changes 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 Serv... Read more news

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Current status (at 2026-10-12 04:07): 5 current events, 4 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 3009 overall):

• Eva Giboulot, Teddy Furon. WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off. NeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. pp.1-34. hal-04766606 view on HAL pdf
• Hadrien Crassous, Mohamed Yassine Kabouri, Minahil Raza, Joni Pajarinen, Riad Akrour. Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection. IROS 2026 - IEEE RSJ International Conference on Intelligent Robots and Systems, Sep 2026, Pittsburg, United States. hal-05701172v2 view on HAL pdf
• Samuel Pélissier, Abhishek Kumar Mishra, Mathieu Cunche, Vincent Roca, Didier Donsez. Efficiently linking LoRaWAN identifiers through multi-domain fingerprinting. Pervasive and Mobile Computing, 2025, 112, pp.102082. 10.1016/j.pmcj.2025.102082. hal-05120767 view on HAL pdf
• Houssem Ouertatani. Efficient Deep Neural Architecture Search via Bayesian Optimization : An application to Computer Vision. Computer Vision and Pattern Recognition cs.CV. Université de Lille, 2024. English. NNT : 2024ULILB044. tel-05014154 view on HAL pdf
• Georges da Costa. Hardware and application aware performance, power and energy models for modern HPC servers with DVFS. Sustainable Computing : Informatics and Systems, 2025, 46, pp.101106. 10.1016/j.suscom.2025.101106. hal-04983485 view on HAL pdf

Grid'5000 sites

Grenoble Lille Luxembourg Louvain

Lyon Nancy Nantes Rennes

Sophia-Antipolis Strasbourg Toulouse

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