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You can also deploy runners with GPU on premise using CML docker image with GPU already supported having to install only the ndivia drivers and nvidia-docker in
by davidortega 6y ago
You can also deploy runners with GPU on premise using CML docker image with GPU already supported having to install only the ndivia drivers and nvidia-docker in your machine.
docker run --name myrunner -d
-e RUNNER_IDLE_TIMEOUT=1800
-e RUNNER_LABELS=cml
-e RUNNER_REPO=$my_repo_url
-e repo_token=$my_repo_token
dvcorg/cml-gpu-py3-cloud-runner
It works for Gitlab and Github. Just only point your url and repo token