The last AI/ML model registry you’ll ever need: It’s already in your hands
Turn any OCI registry into a secure, production-ready model registry with KitOps. This CNCF project uses OCI-native ModelKits to package, sign, and deploy AI models—no extra infra, no lock-in. Streamline AI workflows with tools you already trust.
Model registries promise better versioning, governance, and reproducibility for AI/ML workflows. But do you really need to stand up yet another tool?
In this talk, we unveil KitOps, a CNCF-hosted open source project that turns your existing OCI registry into a secure, production-grade model registry. No new infrastructure. No proprietary lock-in. Just OCI-native artifacts—ModelKits—that bring structure, security, and traceability to your AI/ML artifacts.
ModelKits aren’t rebranded containers; they redefine how AI/ML models are managed across environments. Combined with the Kit CLI, you’ll see how to package, sign, inspect, and deploy models using the same tools and registries you already trust.
If your platform team is tired of reinventing the wheel to support AI, KitOps shows how to simplify complexity—using the cloud-native building blocks you already have.
In this talk, we unveil KitOps, a CNCF-hosted open source project that turns your existing OCI registry into a secure, production-grade model registry. No new infrastructure. No proprietary lock-in. Just OCI-native artifacts—ModelKits—that bring structure, security, and traceability to your AI/ML artifacts.
ModelKits aren’t rebranded containers; they redefine how AI/ML models are managed across environments. Combined with the Kit CLI, you’ll see how to package, sign, inspect, and deploy models using the same tools and registries you already trust.
If your platform team is tired of reinventing the wheel to support AI, KitOps shows how to simplify complexity—using the cloud-native building blocks you already have.
The last AI/ML model registry you’ll ever need: It’s already in your hands
Turn any OCI registry into a secure, production-ready model registry with KitOps. This CNCF project uses OCI-native ModelKits to package, sign, and deploy AI models—no extra infra, no lock-in. Streamline AI workflows with tools you already trust.
Panelist

Panelist

Panelist

Moderator

Gorkem Ercan
CTO, Jozu
Model registries promise better versioning, governance, and reproducibility for AI/ML workflows. But do you really need to stand up yet another tool?
In this talk, we unveil KitOps, a CNCF-hosted open source project that turns your existing OCI registry into a secure, production-grade model registry. No new infrastructure. No proprietary lock-in. Just OCI-native artifacts—ModelKits—that bring structure, security, and traceability to your AI/ML artifacts.
ModelKits aren’t rebranded containers; they redefine how AI/ML models are managed across environments. Combined with the Kit CLI, you’ll see how to package, sign, inspect, and deploy models using the same tools and registries you already trust.
If your platform team is tired of reinventing the wheel to support AI, KitOps shows how to simplify complexity—using the cloud-native building blocks you already have.
In this talk, we unveil KitOps, a CNCF-hosted open source project that turns your existing OCI registry into a secure, production-grade model registry. No new infrastructure. No proprietary lock-in. Just OCI-native artifacts—ModelKits—that bring structure, security, and traceability to your AI/ML artifacts.
ModelKits aren’t rebranded containers; they redefine how AI/ML models are managed across environments. Combined with the Kit CLI, you’ll see how to package, sign, inspect, and deploy models using the same tools and registries you already trust.
If your platform team is tired of reinventing the wheel to support AI, KitOps shows how to simplify complexity—using the cloud-native building blocks you already have.
The last AI/ML model registry you’ll ever need: It’s already in your hands
Turn any OCI registry into a secure, production-ready model registry with KitOps. This CNCF project uses OCI-native ModelKits to package, sign, and deploy AI models—no extra infra, no lock-in. Streamline AI workflows with tools you already trust.
Model registries promise better versioning, governance, and reproducibility for AI/ML workflows. But do you really need to stand up yet another tool?
In this talk, we unveil KitOps, a CNCF-hosted open source project that turns your existing OCI registry into a secure, production-grade model registry. No new infrastructure. No proprietary lock-in. Just OCI-native artifacts—ModelKits—that bring structure, security, and traceability to your AI/ML artifacts.
ModelKits aren’t rebranded containers; they redefine how AI/ML models are managed across environments. Combined with the Kit CLI, you’ll see how to package, sign, inspect, and deploy models using the same tools and registries you already trust.
If your platform team is tired of reinventing the wheel to support AI, KitOps shows how to simplify complexity—using the cloud-native building blocks you already have.
In this talk, we unveil KitOps, a CNCF-hosted open source project that turns your existing OCI registry into a secure, production-grade model registry. No new infrastructure. No proprietary lock-in. Just OCI-native artifacts—ModelKits—that bring structure, security, and traceability to your AI/ML artifacts.
ModelKits aren’t rebranded containers; they redefine how AI/ML models are managed across environments. Combined with the Kit CLI, you’ll see how to package, sign, inspect, and deploy models using the same tools and registries you already trust.
If your platform team is tired of reinventing the wheel to support AI, KitOps shows how to simplify complexity—using the cloud-native building blocks you already have.
The last AI/ML model registry you’ll ever need: It’s already in your hands
Turn any OCI registry into a secure, production-ready model registry with KitOps. This CNCF project uses OCI-native ModelKits to package, sign, and deploy AI models—no extra infra, no lock-in. Streamline AI workflows with tools you already trust.
Panelist

Panelist

Panelist

Host

Gorkem Ercan
CTO, Jozu
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