Craig Russell
Craig Russell
> To use your GPU there are two things that need doing: install various things inside your container and install various things on the host. > > repo2docker can't help...
``` FROM tensorflow/tensorflow:latest-gpu-jupyter # --- Jupyter # install the notebook package RUN pip install --no-cache --upgrade pip && \ pip install --no-cache notebook # create user with a home directory...
@betatim Would you be interested in testing your solution on a gpu enabled binderhub?
I have a working example of installing cuda all the requisite libraries using just the conda buildpack at GitHub.com/ctr26/ZeroCostDl4Mic My gpu k8s is currently down but it works locally atm.
> https://github.com/ctr26/basic-gpu-binder This works for me on my k8s binderhub deployment > On 9 Dec 2021, at 20:30, Yves Moisan ***@***.***> wrote: > > > FWIW I manually replace...
It's bad practise by jupyterhub to sentence-case v camelcase for sure. I'll mention the bug in the main helm repo. Thanks
I think this is happening to me too.
I tried to get around this by using `containerMode: kubernetes` but that doesn't seem to work with secrets?
``` # runnerdeployment.yaml apiVersion: actions.summerwind.dev/v1alpha1 kind: RunnerDeployment metadata: name: *** spec: replicas: 1 # containerMode: kubernetes template: spec: dockerMTU: 1400 repository: ********** labels: - ****** ephemeral: false ``` This doesn't...
I ended up disabling docker too, which causes its own problems but it's fine