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 Content on this website is partly outdated.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 1000+ 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) → presentations video 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).

Most recent news SSH policy changes on access machine Dear users, Due to multiple occurences of bad usages of the access machine, the technical team has decided to change the SSH connection mode to the... 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 -l debian%... 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 they are: grenoble :... 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 available with ... Read more news

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Current status (at 2026-11-13 00:03): 5 current events, 3 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 3048 overall):

• Théophile Dubuc. Détection d'anomalies de latence dans les systèmes distribués avec eBPF. Système d'exploitation cs.OS. Ecole normale supérieure de lyon - ENS LYON, 2024. Français. NNT : 2024ENSL0109. tel-05064342 view on HAL pdf
• Ishaan Shah, S Lucas, G Drettakis. Frequency-Aware Spatial-Angular Gaussians for Efficient Global Illumination Precomputation and Real-Time Rendering. Computer Graphics Forum, In press, 45 (4), 10.1111/cgf.70542. hal-05702737 view on HAL pdf
• Célia Mahamdi. Multi-Consensus distribué : agrégation et révocabilité. Réseaux et télécommunications cs.NI. Sorbonne Université, 2024. Français. NNT : 2024SORUS426. tel-04919363 view on HAL pdf
• Roblex Nana Tchakoute, Claude Tadonki, Petr Dokládal, Youssef Mesri. Benchmark-based Study of CPU/GPU Power-Related Features through JAX and TensorFlow. 2025. hal-05072924 view on HAL pdf
• Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 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