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Shifting Minds: Exploring OpenShift's AI Landscape

Kubernetes Bytes

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Exploring MLOps and DevOps in AI Landscape

This chapter discusses MLOps as the application of DevOps principles to data science, highlighting the iterative model training process and the necessity of creating a pipeline for data preparation, model training, testing, validation, and lifecycle management. It also touches on developers using GPUs for experimentation and deploying models into local Kubernetes environments.

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