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Manage and Run AI/ML Models as OCI Artifacts with ORAS

Rawkode Academy via YouTube

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Overview

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Explore a comprehensive tutorial on cloud-native AI/ML model management using ORAS and OCI technologies. Learn to overcome the challenges of managing AI/ML models in modern cloud environments through practical demonstrations. Follow along as the instructor explains the fundamentals of ORAS and OCI, then walks through the complete workflow of packaging an Ollama model as an OCI artifact, managing these artifacts in an OCI registry, creating persistent volumes in Kubernetes to mount OCI artifacts (using the latest alpha feature), deploying Ollama in a Pod with models mounted from the OCI registry, and verifying the proper deployment of your model. Discover how containerization and OCI artifacts can dramatically simplify AI/ML model lifecycle management, versioning, and portability—essential knowledge for developers and DevOps engineers seeking to optimize their AI/ML deployment strategies in Kubernetes environments.

Syllabus

Manage and Run AI/ML Models as OCI Artifacts with ORAS

Taught by

Rawkode Academy

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