AI and ML workloads are everywhere right now, and they all rely on GPUs. The problem? GPUs are expensive, and most teams are getting nowhere near their money's worth out of them. It's super common to see a pod grab a powerful GPU like an A100, do its thing for a few minutes, and then just sit on it doing nothing while other workloads pile up waiting for their turn.
This is the reality a lot of platform teams are dealing with today. You're paying premium prices for hardware that's mostly idle, and your users are frustrated because they can't get the resources they need fast enough. Something has to give and this is where GPU sharing comes in play