Best way to deploy a new LLM serverless, where I don't want to build large docker images
The infrastructure I have come across at runpod, there is not much support for serverless for fast copying of weights of models from a local data centre. Can I get some suggestions on how I should plan my deployment because building large docker images and uploading them on docker file, and then server downloading it at cold start, takes massive time. Help will be appreciated.
