Jozu, the company building a DevSecOps platform for enterprise artificial intelligence (AI), announced its leading role in two open source projects, KitOps and ModelPack.
Backed by the CNCF, these projects are the first to bring container-like portability to AI/ML workflows and make model delivery as reproducible and secure as any container deployment, the company said.
Jozu was one of the leading developers of the ModelPack specification, now hosted under the Cloud Native Computing Foundation (CNCF) and backed by PayPal, ByteDance, ANT Group, and Red Hat.
According to the company, Jozu’s open-source KitOps project is the most widely adopted ModelPack implementation with over 140,000 downloads in the last year alone.
ModelPack extends the OCI (1.1) standard to support the large artifacts common in AI, while KitOps assembles them into versioned ModelKits that work seamlessly with existing container registries and Kubernetes infrastructure, so no new tooling is required.
“ModelKits make AI deployments cryptographically verifiable, compliant, and reproducible across any Kubernetes environment,” said Görkem Ercan, CTO and co-founder of Jozu. “Teams can now move models through Dev, Test, and Prod with the same confidence and ease that they move containers.”
Jozu now offers enterprise support for both KitOps and ModelPack through its Jozu Hub platform, which provides full security and operational management for ModelKit projects across connected, on-premises, and air-gapped environments.
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