Kubernetes Tools for Machine and Deep Learning Models

01. Kubermatic Kubernetes Platform - A cluster-management tool offering automation to integrate with ML/DL workflows
02. Volcano provides a suite of mechanisms required by many classes of batch & elastic workloads
03. Kubeflow - The Machine Learning Toolkit for Kubernetes
04. Fastest way to build, train, and deploy deep learning models
05. repo2docker fetches a git repository and builds a container image based on the configuration files found in the repository.
06. Tiangolo - This Docker image serves as a base for other images for Machine and Deep Learning, etc.
07. NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers
08. Seldon core converts ML models (Tensorflow, Pytorch, H2O) or language wrappers (Python, Java) into production REST/gRPC microservices