ML models are often used to develop or augment software applications. However, many tools for building, deploying, and managing models don’t align with existing tools for building, deploying, and managing software. OctoML has publicly released a CLI that enables users to containerize their model to run on Docker or Kubernetes infrastructure and optimize their model to perform inference as efficiently as possible on any hardware backend.