CNCF Projects Tour Ep. 5 – Reproducible AI/ML with KitOps

📝 Event Description:

Join us for Episode 5 of the CNCF Projects Tour as we dive into KitOps—an open-source DevOps tool designed to simplify and standardize the lifecycle of AI/ML models.

Moving models from experimentation to production is often painful — Jupyter notebooks, ML tools, and production environments like Kubernetes all have different packaging requirements. KitOps eliminates this friction.

🔧 What is KitOps?

KitOps packages your AI/ML model, dataset, code, and configuration into a reproducible, versioned artifact called a ModelKit. Built on open standards and designed for portability, ModelKits can be stored in existing container registries and deployed anywhere, just like application code.

🔍 In this session, maintainers Shivay Lamba and Gorkem Ercan will explore:

• How KitOps improves model traceability and reproducibility

• The modular power of Kitfiles vs. Dockerfiles

• Using ModelKits for secure SBOM and auditability

• Real-world use cases and integrations with CI/CD pipelines

📅 Date: 16th April 2025

🕢 Time: 7:30 PM  to 8:30 PM IST

💻 Format: Virtual

If you're building or deploying AI/ML models and want to treat them like first-class DevOps artifacts, this session is a must-attend.