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.
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.