Unable to run jupyter on custom docker image
I am basically trying to build my own custom container and run jupyter lab in it. I've copied the configuration from base rundpod image from github. Everything is fine there. The problem occurs when the pod is booted up as it is supposed to start jupyterlab but we get the jupyter command not found issue which is why port 8888 is not ready. First screenshot is from my local machine where i get into the docker and i see jupyter --help works. Second one is from the runpod instance where it complain...
No datacenter for H200 with Volume?
Hello! In fact, none of the presented regions where I can create my Volume gives me the opportunity to start with the H200. Do you know any solutions?
Yesterday I created a pod and specified the volume I needed in the settings (just + button), but the region is displayed as "USA", and today this pod is no longer available for launch 😦...
Solution:
they're new, we are still working out those details and getting storage near them, we wanted to provide access while we add more functionality in Q1
The problem in connecting SwarmUI with RunPod
Since yesterday, I have been fighting with the backend configuration. Claude is trying to help me fix the problem but with no result.
I paste log from SwarmUI
`2024-12-19 08:51:47.270 [Info] Saving backends......
Multi GPU problem
Hi, how can I evenly distribute workers across multiple GPU? I am trying to get the Stable Diffusion model up, however I am getting an out of memory error as gunicorn is trying to run them on one GPU. How can I solve this problem, given that I need to run all the workers on the same port. Either how can I configure proxying requests inside the pod.
