Best Artificial Intelligence (AI) APIs for Kubernetes

Distributed AI is a computing paradigm which does away with the need to move large amounts of data and allows data to be analyzed at the source. IBM Research has developed a set RESTful web services that provide data and AI algorithms for distributed AI APIs. These APIs are designed to support AI applications in hybrid cloud, distributed, or edge computing environments. Each Distributed AI API addresses the challenges of enabling AI in distributed or edge environments using APIs. The Distributed AI APIs don't focus on the core requirements of creating and deploying AI pipes, such as model training and model servicing. You can use any of your favorite open-source programs such as TensorFlow and PyTorch. You can then containerize your application including the AI pipeline and deploy these containers to the distributed locations. To automate the deployment process, it is often useful to use a container orchestrator like Kubernetes and OpenShift operators.