[mvoodarla]

What was the orchestration system used for? Was it in the case where there were many models that needed to be run one after another. I know it's a huge problem in video processing to be able to increase speed a ton. My company Sieve (see profile) is building infrastructure specifically for running ML models on video which is why I'm curious.

[CMCDragonkai]

It was built for AI driven container orchestration, configuration synthesis from high level constraints.

Yes ML workloads is particularly complex, because they have both batch oriented data flows (training), and service oriented data flows (inference). There aren't many systems that can adequately express both.