Hi everyone! I am completely new to Flyte but starting to set up some of our ML pipelines. We have a usecase where we might want to build some container based upon the output of a workflow. Does this make sens, how can it be done? Is this bad practice. Thanks :)
08/19/2022, 10:03 AM
Hi, @NikeNano! Welcome to the community.
Could you elaborate more on your use case? Why do you want to build containers?
08/19/2022, 11:49 AM
Thanks 🙂 Currently(and we thought about redesigning this) we are building the model in to a container before deployment. In order to automate our manual pipeline today we would like to allow flyte to build this container if the new model is proven to be better than the current one used in prod. This would allow us to reduce the amount of manual steps. However this is an artifact of how we update the models that we serve using [Triton](https://github.com/triton-inference-server/server).