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The shared GitLab runners do not support GPU workloads. If your project requires GPU (e.g., for training ML models), you must configure your own runner on a machine with GPU access, cf [Installing your own specific runners](https://gitlab.inria.fr/siteadmin/doc/-/wikis/faq#installing-your-own-specific-runners).
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We recommend that you use light intallations, for example with this command tried and tested by Pascal Carrivain (without the default installation of the profiler and NVIDIA Nsight Graphics):
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apt-get -y install --no-install-recommends cuda-compiler-12-8 cuda-runtime-12-8 cuda-profiler-api-12-8 libcurand-12-8 libcurand-dev-12-8
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🔧 Options for GPU-Enabled Runners
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1. Grid'5000 (Public Infrastructure)
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