cocalc-kubernetes
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Run CoCalc on a Kubernetes cluster
We are experimenting with Cocalc (a slightly slimmed image with fewer kernels and with increased memory defaults) for remote teaching/pair programming. (It works pretty well!) I am currently noticing three...
Are there easy way to add the new software in to the project? Should I rebuild every time the Dockerfile: > https://github.com/sagemathinc/cocalc-kubernetes/tree/master/project/image and restart the pods?
Motivation: It does not seem to just work with the default minikube, due to lack of nfs support.
If I change the shared CPU to 2 and dedicated CPU to 2/or something else, the dedicated CPU is always 0.25, is it true value? what are the differences between...
After the test user did: `pip3 install --user hvplot` the kernel does not start anymore. by removing **.local** in the terminal it works again 
Hi! I'm just wondering if there's any image of CoCalc with both CUDA **and** Kubernetes Cluster support. I'm aware of [cocalc-kubernetes](https://github.com/sagemathinc/cocalc-kubernetes) and [CuCalc](https://github.com/ktaletsk/CuCalc) projects, but unfortunately I couldn't find an...
Right now we suggest this in the README.md: ``` kubectl create rolebinding cocalc-kubernetes-server-binding --clusterrole=admin --serviceaccount=default:cocalc-kubernetes-server ``` However: - The account doesn't need admin for the entire namespace, but we should...