Arrikto, the leader in machine learning on Kubernetes, participated in the announcement of Kubeflow 1.5, the latest version of the open source MLOps platform, with contributions from Google, Arrikto, IBM, Twitter and Rakuten, alongside numerous other contributors. Kubeflow 1.5 delivers lower infrastructure costs, and helps simplify the operation of the end-to-end machine learning platform. Originally developed by Google, Kubeflow is a complete MLOps toolkit, including integrated components for model development, model training, multi-step pipelines, AutoML, serving, monitoring, artifact management, and experiment tracking. Running production machine learning workflows at scale is notoriously expensive due to outsized requirements on CPUs, GPUs, storage, and memory. Kubeflow 1.5 introduces several key features to reduce these costs.