Kubetorch provides a software platform for building and running ML applications on Kubernetes. The system is designed to accelerate iteration and debugging for distributed and composite machine-learning workloads. It offers a Python-based compute interface to support reproducibility, programmatic fault-tolerance, and controlled execution across environments. The platform is built as a general-purpose, unopinionated layer that can be deployed in a customer’s cloud and integrated into existing infrastructure.