I work in an environment where there are multiple tech teams developing models for multiple use cases on VMs and GPU clusters spread across our corporate intran

I work in an environment where there are multiple tech teams developing models for multiple use cases on VMs and GPU clusters spread across our corporate intranet. Once you move beyond a single dev working on a model on their laptop, you absolutely need something that can handle not just metrics tracking, but making the model binaries available and providing a means to ensure reproducibility by the rest of the team. That's what MLFlow is providing for us. The API is a mess, but at least we didn't have to code up some bespoke in-house framework, we just put some engineers on task to play around with it for a few hours and figure out the nuances of basic interactions and deployed it.