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Along with the Kubernetes community's corraling behind the usescases of generative AI comes a slew of implementation hurdles to overcome. One such hurdle is the problem of moving around bulky models. While many methods exist today, the SIG-Node and WG-Serving community sought to find a Kubernetes native approach. What better way than utilizing a foundational part of Kubernetes: the OCI distribution spec.
In this talk, we will discuss the process of designing KEP-4639, the status of the feature, and go through some real world use-cases for using OCI distribution methods we know, love and rely-upon to move AI models to your production servers.
