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Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. Wherever you may be running Kubernetes, you can run Kubeflow as well.

IronFunctions is an open-source serverless platform, also known as Functions as a Service (FaaS), developed by Iron.io. It allows developers to write functions in any language and deploy them in a serverless environment, enabling microservices architectures without managing underlying infrastructure. IronFunctions is designed to run anywhere, offering flexibility and scalability for modern application development.