Open Source Summit Latin America 2022

Machine Learning (ML) is being implemented at a rapid pace, resulting in a shift towards AI-first architectures that leverage object storage. ML frameworks such as Tensorflow and Kubeflow rely on the S3 API to interact with object storage in order to leverage massive scalability and high performance coupled with immutability and sophisticated object lifecycle features for managing data and models. Models and data can be tiered across Kubernetes-native object storage classes and replicated between datacenters, the edge and clouds. This session will provide an overview of object storage for ML, followed by a demo of deploying open source MinIO and Tensorflow on Kubernetes. The demo will show how to build a secure data pipeline and automate ML testing and operations.