https://github.com/nctiggy/cnvrg_endpoint_binary
Customers love the flexibility and power that Kubernetes gives cnvrg. While strongly opinionated containerization enables customers to get started quickly and with minimal pre-reqs, it does limit the scope in which the platform can be used. As the AI/ML space continues to rapidly evolve, customers needs are shifting as well. Customers want to try new languages to serve their models, they want to bring new/obscure UI's to their data and models, in some cases they just want to run long running processes that are neither apps, or endpoints. In a larger platform, cnvrg is well positioned to be the work horse right in the heart of a larger system. Enabling generic containers to execute in cnvrg will help in opening new opportunities