DevOps Paradox DOP 299: Managing Your AI Workloads With KitOps
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Jan 22, 2025 Gorkem Ercan, CTO at Jozu, sheds light on KitOps, an open-source initiative revolutionizing AI/ML model management. He discusses how ModelKits enhance efficiency, surpassing traditional Docker containers. Gorkem tackles challenges like standardization and compliance with regulations such as GDPR. The conversation highlights the importance of experimentation tracking and how KitOps simplifies workflows, making deployment more intuitive for data scientists. Tune in for insights on bridging the gap between tech creators and users!
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KitOps Origin Story
- Gorkem Ercan's team built an internal tool similar to Model Kits due to challenges in AI/ML model management.
- This tool streamlined their workflow and eventually became the basis for the open-source KitOps project.
Benefits of OCI Registries
- Model Kits leverage existing OCI registries for storage, access control, and auditing.
- This simplifies management and eliminates the need for custom solutions, unlike using large gzipped files.
Standardization and Adoption
- The AI/ML field lacks standardization, making KitOps adoption challenging.
- Regulated industries adopt KitOps more readily due to its provenance and attestation features, crucial for compliance.