<ul><li>MinIO is a high-performance, Kubernetes-native object storage system that is fully S3-compatible and optimized for speed and simplicity.</li><li>Reasons to use MinIO in ML Pipelines include S3 API compatibility, on-prem & hybrid friendliness, high-speed storage, easy scalability, and Kubernetes-native deployment.</li><li>An important use case of MinIO is storing ML training data for future inference, such as uploading images for training a computer vision model and later using them for predictions.</li><li>MinIO serves as a central storage layer for ML workflows, allowing the upload of raw data, preprocessing outputs, versioning datasets, sharing data across training jobs, and integrating with popular ML frameworks for inferencing.</li></ul>

Using MinIO to Store Machine Learning Data for Training and Inference

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