How does runpod work with custom docker images? Multiple questions.
I have some questions:
1. If I use my own dockerhub image, does it have to pull the image from dockerhub everytime?
2. I tried to use a community template (ComfyUI - AI-Dock) and the pull from ghcr is very slow. This is related to the first question. Is there something that affects the pull speed? This sucks because I still get charged as I wait for my image to be downloaded. This image takes about 40mins to download ~5Gb while other take couple of mins for 5GB. So its not a problem on my end.
3. Are there any workarounds for pulling an image everytime? or bumping the pull speed? Can I request an add to cache for this image? I will be using it for now on.
4. How to use credentials registry? What do I set for password? My docker account pass or I generate a token with docker?
5. Is there anyway to reconstruct a runpod image? For example, I want to take "runpod/pytorch:2.2.1-py3.10-cuda12.1.1-devel-ubuntu22.04" and reconstruct it with slight modifications. Not use it as a base but reconstruct it.
Thank you.
1. If I use my own dockerhub image, does it have to pull the image from dockerhub everytime?
2. I tried to use a community template (ComfyUI - AI-Dock) and the pull from ghcr is very slow. This is related to the first question. Is there something that affects the pull speed? This sucks because I still get charged as I wait for my image to be downloaded. This image takes about 40mins to download ~5Gb while other take couple of mins for 5GB. So its not a problem on my end.
3. Are there any workarounds for pulling an image everytime? or bumping the pull speed? Can I request an add to cache for this image? I will be using it for now on.
4. How to use credentials registry? What do I set for password? My docker account pass or I generate a token with docker?
5. Is there anyway to reconstruct a runpod image? For example, I want to take "runpod/pytorch:2.2.1-py3.10-cuda12.1.1-devel-ubuntu22.04" and reconstruct it with slight modifications. Not use it as a base but reconstruct it.
Thank you.
