dockerless issue
I am using runpod serverless. To reduce deployments, I store the server executable files in a network volume, as described in the link https://blog.runpod.io/runpod-serverless-no-docker-stress/.
I have been using this method for several months, but recently, even when I modify the rp_handler.py file in the network volume, the changes do not seem to be reflected immediately and appear to be cached. As a result, I am currently unable to use it properly.
Are there any recent changes regarding this issue?
I have been using this method for several months, but recently, even when I modify the rp_handler.py file in the network volume, the changes do not seem to be reflected immediately and appear to be cached. As a result, I am currently unable to use it properly.
Are there any recent changes regarding this issue?
RunPod Blog
What if I told you, you can now deploy pure python machine learning models with zero-stress on RunPod! Excuse that this is a bit of a hacky workflow at the moment. We'll be providing better abstractions in the future!
Prerequisites and Notes
* The tutorial only works for containers installed purely
Prerequisites and Notes
* The tutorial only works for containers installed purely
