This solution brief explains how the HPE Machine Learning Platform enables manufacturers to build, deploy, and scale AI-powered applications across complex production environments. It addresses key challenges such as highly distributed data sources, diverse data formats, massive data volumes, and the need for frequent model retraining. The platform provides an end-to-end software stack covering data acquisition and preparation, model development and training, and model deployment and inference. Built on an open ecosystem and Kubernetes, it supports both cloud and on-premises deployments, including air-gapped environments. By optimizing GPU utilization, automating pipelines, and ensuring reproducibility through data lineage and experiment tracking, the platform helps manufacturers accelerat

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